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BT 34.016 341.051 Td /F1 27.0 Tf [(Learning Scipy For Numerical And )] TJ ET
BT 34.016 308.084 Td /F1 27.0 Tf [(Scientific Computing Second Edition)] TJ ET
BT 34.016 256.713 Td /F1 13.5 Tf [(As recognized, adventure as without difficulty as experience approximately lesson, )] TJ ET
BT 34.016 240.230 Td /F1 13.5 Tf [(amusement, as well as pact can be gotten by just checking out a ebook )] TJ ET
BT 463.991 240.230 Td /F1 13.5 Tf [(Learning Scipy )] TJ ET
BT 34.016 223.746 Td /F1 13.5 Tf [(For Numerical And Scientific Computing Second Edition)] TJ ET
BT 367.884 223.746 Td /F1 13.5 Tf [( as a consequence it is not )] TJ ET
BT 34.016 207.263 Td /F1 13.5 Tf [(directly done, you could believe even more just about this life, re the world. )] TJ ET
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BT 34.016 48.962 Td /F1 13.5 Tf [(Learning Scipy for Numerical and Scientific Computing Second Edition)] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(Sergio Rojas )] TJ ET
BT 115.043 372.327 Td /F1 13.5 Tf [(2015-02-26 )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(Introduction to Python for Engineers and Scientists)] TJ ET
BT 337.172 355.844 Td /F1 13.5 Tf [( Sandeep Nagar 2017-12-06 )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(Familiarize yourself with the basics of Python for engineering and scientific )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(computations using this concise, practical tutorial that is focused on writing code to )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(learn concepts. Introduction to Python is useful for industry engineers, researchers, and )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(students who are looking for open-source solutions for numerical computation. In this )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(book you will learn by doing, avoiding technical jargon, which makes the concepts easy )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(to learn. First you’ll see how to run basic calculations, absorbing technical complexities )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(incrementally as you progress toward advanced topics. Throughout, the language is )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(kept simple to ensure that readers at all levels can grasp the concepts. What You'll )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(Learn Understand the fundamentals of the Python programming language Apply )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(Python to numerical computational programming projects in engineering and science )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(Discover the Pythonic way of life Apply data types, operators, and arrays Carry out )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(plotting for visualization Work with functions and loops Who This Book Is For )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(Engineers, scientists, researchers, and students who are new to Python. Some prior )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(programming experience would be helpful but not required.)] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(Learning SciPy for Numerical and Scientific Computing - Second Edition)] TJ ET
BT 464.679 108.591 Td /F1 13.5 Tf [( Sergio G. )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(2015 Quick solutions to complex numerical problems in physics, applied mathematics, )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(and science with SciPy In Detail SciPy is an open source Python library used to )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(perform scientific computing. The SciPy \(Scientific Python\) package extends the )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(functionality of NumPy with a substantial collection of useful algorithms. The book starts )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(with a brief description of the SciPy libraries, followed by a chapter that is a fun and fast-)] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(paced primer on array creation, manipulation, and problem-solving. You will also learn )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(how to use SciPy in linear algebra, which includes topics such as computation of )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(eigenvalues and eigenvectors. Furthermore, the book is based on interesting subjects )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(such as definition and manipulation of functions, computation of derivatives, integration, )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(interpolation, and regression. You will also learn how to use SciPy in signal processing )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(and how applications of SciPy can be used to collect, organize, analyze, and interpret )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(data. By the end of the book, you will have fast, accurate, and easy-to-code solutions )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(for numerical and scientific computing applications. What You Will Learn Get to know )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(the benefits of using the combination of Python, NumPy, SciPy, and matplotlib as a )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(programming environment for scientific purposes Create and manipulate an object )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(array used by SciPy Use SciPy with large matrices to compute eigenvalues and )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(eigenvectors Focus on construction, acquisition, quality improvement, compression, )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(and feature extraction of signals Make use of SciPy to collect, organize, analyze, and )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(interpret data, with examples taken from statistics and clustering Acquire the skill of )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(constructing a triangulation of points, convex hulls, Voronoi diagrams, and many similar )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(applications Find out ways that SciPy can be used with other languages such as )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(C/C++, Fortran, and MATLAB/Octave Downloading the example code for this book. )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(You can download the example code files for all Packt books you have purchased from )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(your account at http://www.PacktPub.com. If you purchased this book elsewhere, you )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(can visit http://www.PacktPub.com/support and register to have the files e-mailed )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(directly to you.)] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(Programming for Computations - Python)] TJ ET
BT 275.598 322.877 Td /F1 13.5 Tf [( Svein Linge 2016-07-25 This book presents )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(computer programming as a key method for solving mathematical problems. There are )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(two versions of the book, one for MATLAB and one for Python. The book was inspired )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(by the Springer book TCSE 6: A Primer on Scientific Programming with Python \(by )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(Langtangen\), but the style is more accessible and concise, in keeping with the needs of )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(engineering students. The book outlines the shortest possible path from no previous )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(experience with programming to a set of skills that allows the students to write simple )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(programs for solving common mathematical problems with numerical methods in )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(engineering and science courses. The emphasis is on generic algorithms, clean design )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(of programs, use of functions, and automatic tests for verification.)] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(SciPy and NumPy)] TJ ET
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BT 142.799 158.042 Td /F1 13.5 Tf [( Eli Bressert 2012 "Optimizing and boosting your Python )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(programming"--Cover.)] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(Scientific Computing with Python 3 - Second Edition)] TJ ET
BT 344.651 125.075 Td /F1 13.5 Tf [( Claus Fuhrer 2016-11-24 An )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(example-rich, comprehensive guide for all of your Python computational needsAbout )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(This Book* Your ultimate resource for getting up and running with Python numerical )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(computations* Explore numerical computing and mathematical libraries using Python )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(3.x code with SciPy and NumPy modules* A hands-on guide to implementing )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(mathematics with Python, with complete coverage of all the key conceptsWho This )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(Book Is ForThis book is for anyone who wants to perform numerical and mathematical )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(computations in Python. It is especially useful for developers, students, and anyone )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(who wants to use Python for computation. Readers are expected to possess basic a )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(knowledge of scientific computing and mathematics, but no prior experience with )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(Python is needed.What you will learn* The principal syntactical elements of Python* )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(The most important and basic types in Python* The essential building blocks of )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(computational mathematics, linear algebra, and related Python objects* Plot in Python )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(using matplotlib to create high quality figures and graphics to draw and visualize your )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(results* Define and use functions and learn to treat them as objects* How and when to )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(correctly apply object-oriented programming for scientific computing in Python* Handle )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(exceptions, which are an important part of writing reliable and usable code* Two )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(aspects of testing for scientific programming: Manual and AutomaticIn DetailPython can )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(be used for more than just general-purpose programming. It is a free, open source )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(language and environment that has tremendous potential for use within the domain of )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(scientific computing. This book presents Python in tight connection with mathematical )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(applications and demonstrates how to use various concepts in Python for computing )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(purposes, including examples with the latest version of Python 3. Python is an effective )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(tool to use when coupling scientific computing and mathematics and this book will )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(teach you how to use it for linear algebra, arrays, plotting, iterating, functions, )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(polynomials, and much more.)] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(Scientific Computing with Python - Second Edition)] TJ ET
BT 333.392 355.844 Td /F1 13.5 Tf [( CLAUS. FUHRER 2021-07-23 )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(Leverage this example-packed, comprehensive guide for all your Python computational )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(needs Key Features: Learn the first steps within Python to highly specialized concepts )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(Explore examples and code snippets taken from typical programming situations within )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(scientific computing. Delve into essential computer science concepts like iterating, )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(object-oriented programming, testing, and MPI presented in strong connection to )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(applications within scientific computing. Book Description: Python has tremendous )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(potential within the scientific computing domain. This updated edition of Scientific )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(Computing with Python features new chapters on graphical user interfaces, efficient )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(data processing, and parallel computing to help you perform mathematical and )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(scientific computing efficiently using Python. This book will help you to explore new )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(Python syntax features and create different models using scientific computing )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(principles. The book presents Python alongside mathematical applications and )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(demonstrates how to apply Python concepts in computing with the help of examples )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(involving Python 3.8. You'll use pandas for basic data analysis to understand the )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(modern needs of scientific computing, and cover data module improvements and built-)] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(in features. You'll also explore numerical computation modules such as NumPy and )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(SciPy, which enable fast access to highly efficient numerical algorithms. By learning to )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(use the plotting module Matplotlib, you will be able to represent your computational )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(results in talks and publications. A special chapter is devoted to SymPy, a tool for )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(bridging symbolic and numerical computations. By the end of this Python book, you'll )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(have gained a solid understanding of task automation and how to implement and test )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(mathematical algorithms within the realm of scientific computing. What You Will Learn: )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(Understand the building blocks of computational mathematics, linear algebra, and )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(related Python objects Use Matplotlib to create high-quality figures and graphics to )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(draw and visualize results Apply object-oriented programming \(OOP\) to scientific )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(computing in Python Discover how to use pandas to enter the world of data processing )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(Handle exceptions for writing reliable and usable code Cover manual and automatic )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(aspects of testing for scientific programming Get to grips with parallel computing to )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(increase computation speed Who this book is for: This book is for students with a )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(mathematical background, university teachers designing modern courses in )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(programming, data scientists, researchers, developers, and anyone who wants to )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(perform scientific computation in Python.)] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(Practical Numerical and Scientific Computing with MATLAB® and Python)] TJ ET
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BT 470.862 141.558 Td /F1 13.5 Tf [( Eihab B. M. )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(Bashier 2020-03-18 Practical Numerical and Scientific Computing with MATLAB® and )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(Python concentrates on the practical aspects of numerical analysis and linear and non-)] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(linear programming. It discusses the methods for solving different types of )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(mathematical problems using MATLAB and Python. Although the book focuses on the )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(approximation problem rather than on error analysis of mathematical problems, it )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(provides practical ways to calculate errors. The book is divided into three parts, )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(covering topics in numerical linear algebra, methods of interpolation, numerical )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(differentiation and integration, solutions of differential equations, linear and non-linear )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(programming problems, and optimal control problems. This book has the following )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(advantages: It adopts the programming languages, MATLAB and Python, which are )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(widely used among academics, scientists, and engineers, for ease of use and contain )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(many libraries covering many scientific and engineering fields. It contains topics that )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(are rarely found in other numerical analysis books, such as ill-conditioned linear )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(systems and methods of regularization to stabilize their solutions, nonstandard finite )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(differences methods for solutions of ordinary differential equations, and the )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(computations of the optimal controls. It provides a practical explanation of how to apply )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(these topics using MATLAB and Python. It discusses software libraries to solve )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(mathematical problems, such as software Gekko, pulp, and pyomo. These libraries use )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(Python for solutions to differential equations and static and dynamic optimization )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(problems. Most programs in the book can be applied in versions prior to MATLAB )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(2017b and Python 3.7.4 without the need to modify these programs. This book is aimed )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(at newcomers and middle-level students, as well as members of the scientific )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(community who are interested in solving math problems using MATLAB or Python.)] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(Mastering SciPy)] TJ ET
BT 131.540 75.624 Td /F1 13.5 Tf [( Francisco J. Blanco-Silva 2015-11-10 Implement state-of-the-art )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(techniques to visualize solutions to challenging problems in scientific computing, with )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(the use of the SciPy stack About This Book Master the theory and algorithms behind )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(numerical recipes and how they can be applied to real-world problems Learn to )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(combine the most appropriate built-in functions from the SciPy stack by understanding )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(the connection between the sources of your problem, volume of data, or computer )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(architecture A comprehensive coverage of all the mathematical techniques needed to )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(solve the presented topics, with a discussion of the relevant algorithms built in the )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(SciPy stack Who This Book Is For If you are a mathematician, engineer, or computer )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(scientist with a proficiency in Python and familiarity with IPython, this is the book for )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(you. Some basic knowledge of numerical methods in scientific computing would be )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(helpful. What You Will Learn Master relevant algorithms used in symbolic or numerical )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(mathematics to address approximation, interpolation, differentiation, integration, root-)] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(finding, and optimization of scalar or multi-variate functions Develop different algorithms )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(and strategies to efficiently store and manipulate large matrices of data, in particular to )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(solve systems of linear equations, or compute their eigenvalues/eigenvectors )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(Understand how to model physical problems with systems of differential equations and )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(distinguish the factors that dictate the strategies to solve them Perform statistical )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(analysis, hypothesis test design and resolution, or data mining at a higher level, and )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(apply them to real-life problems in the field of data analysis Gain insights on the power )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(of distances, Delaunay triangulations and Voronoi diagrams for Computational )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(Geometry, and apply them to various engineering problems Familiarize yourself with )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(different techniques in signal/image processing, including filtering audio, images, or )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(video to extract information, features, or remove components In Detail The SciPy stack )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(is a collection of open source libraries of the powerful scripting language Python, )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(together with its interactive shells. This environment offers a cutting-edge platform for )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(numerical computation, programming, visualization and publishing, and is used by )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(some of the world's leading mathematicians, scientists, and engineers. It works on any )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(operating system that supports Python and is very easy to install, and completely free )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(of charge! It can effectively transform into a data-processing and system-prototyping )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(environment, directly rivalling MATLAB and Octave. This book goes beyond a mere )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(description of the different built-in functions coded in the libraries from the SciPy stack. )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(It presents you with a solid mathematical and computational background to help you )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(identify the right tools for each problem in scientific computing and visualization. You )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(will gain an insight into the best practices with numerical methods depending on the )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(amount or type of data, properties of the mathematical tools employed, or computer )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(architecture, among other factors. The book kicks off with a concise exploration of the )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(basics of numerical linear algebra and graph theory for the treatment of problems that )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(handle large data sets or matrices. In the subsequent chapters, you will delve into the )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(depths of algorithms in symbolic algebra and numerical analysis to address )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(modeling/simulation of various real-world problems with functions \(through )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(interpolation, approximation, or creation of systems of differential equations\), and )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(extract their representing features \(zeros, extrema, integration or differentiation\). Lastly, )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(you will move on to advanced concepts of data analysis, image/signal processing, and )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(computational geometry. Style and approach Packed with real-world examples, this )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(book explores the mathematical techniques needed to solve the presented topics, and )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(focuses on the algorithms built in the SciPy stack.)] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(Raspberry Pi Supercomputing and Scientific Programming)] TJ ET
BT 382.883 289.910 Td /F1 13.5 Tf [( Ashwin Pajankar 2017-05-)] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(25 Build an inexpensive cluster of multiple Raspberry Pi computers and install all the )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(required libraries to write parallel and scientific programs in Python 3. This book covers )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(setting up your Raspberry Pis, installing the necessary software, and making a cluster )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(of multiple Pis. Once the cluster is built, its power has to be exploited by means of )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(programs to run on it. So, Raspberry Pi Supercomputing and Scientific Programming )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(teaches you to code the cluster with the MPI4PY library of Python 3. Along the way, )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(you will learn the concepts of the Message Passing Interface \(MPI\) standards and will )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(explore the fundamentals of parallel programming on your inexpensive cluster. This will )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(make this book a great starting point for supercomputing enthusiasts who want to get )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(started with parallel programming. The book finishes with details of symbolic )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(mathematics and scientific and numerical programming in Python, using SymPi, SciPy, )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(NumPy, and Matplotlib. You’ll see how to process signals and images, carry out )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(calculations using linear algebra, and visualize your results, all using Python code. With )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(the power of a Raspberry Pi supercomputer at your fingertips, data-intensive scientific )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(programming becomes a reality at home. What You Will Learn Discover the essentials )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(of supercomputing Build a low-cost cluster of Raspberry Pis at home Harness the )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(power of parallel programming and the Message Passing Interface \(MPI\) Use your )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(Raspberry Pi for symbolic, numerical, and scientific programming Who This Book Is For )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(Python 3 developers who seek the knowledge of parallel programming, Raspberry Pi )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(enthusiasts, researchers, and the scientific Python community.)] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(Programming for Computations - Python)] TJ ET
BT 275.598 273.426 Td /F1 13.5 Tf [( Svein Linge 2019-10-30 This book is )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(published open access under a CC BY 4.0 license. This book presents computer )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(programming as a key method for solving mathematical problems. This second edition )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(of the well-received book has been extensively revised: All code is now written in )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(Python version 3.6 \(no longer version 2.7\). In addition, the two first chapters of the )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(previous edition have been extended and split up into five new chapters, thus )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(expanding the introduction to programming from 50 to 150 pages. Throughout the )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(book, the explanations provided are now more detailed, previous examples have been )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(modified, and new sections, examples and exercises have been added. Also, a number )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(of small errors have been corrected. The book was inspired by the Springer book TCSE )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(6: A Primer on Scientific Programming with Python \(by Langtangen\), but the style )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(employed is more accessible and concise, in keeping with the needs of engineering )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(students. The book outlines the shortest possible path from no previous experience )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(with programming to a set of skills that allows students to write simple programs for )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(solving common mathematical problems with numerical methods in the context of )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(engineering and science courses. The emphasis is on generic algorithms, clean )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(program design, the use of functions, and automatic tests for verification.)] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(Python for Data Analysis)] TJ ET
BT 181.827 322.877 Td /F1 13.5 Tf [( Wes McKinney 2017-09-25 Get complete instructions for )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(manipulating, processing, cleaning, and crunching datasets in Python. Updated for )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(Python 3.6, the second edition of this hands-on guide is packed with practical case )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(studies that show you how to solve a broad set of data analysis problems effectively. )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(Written by Wes McKinney, the creator of the Python pandas project, this book is a )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(practical, modern introduction to data science tools in Python. It’s ideal for analysts new )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(to Python and for Python programmers new to data science and scientific computing. )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(Data files and related material are available on GitHub. Use the IPython shell and )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(Jupyter notebook for exploratory computing Learn basic and advanced features in )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(NumPy \(Numerical Python\) Get started with data analysis tools in the pandas library )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(Use flexible tools to load, clean, transform, merge, and reshape data Create informative )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(summarize datasets Analyze and manipulate regular and irregular time series data )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(Learn how to solve real-world data analysis problems with thorough, detailed examples)] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(Introduction to Computation and Programming Using Python, second edition)] TJ ET
BT 489.479 75.624 Td /F1 13.5 Tf [( John V. )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(Guttag 2016-08-12 The new edition of an introductory text that teaches students the art )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(of computational problem solving, covering topics ranging from simple algorithms to )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(information visualization. This book introduces students with little or no prior )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(programming experience to the art of computational problem solving using Python and )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(various Python libraries, including PyLab. It provides students with skills that will enable )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(them to make productive use of computational techniques, including some of the tools )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(and techniques of data science for using computation to model and interpret data. The )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(book is based on an MIT course \(which became the most popular course offered )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(through MIT's OpenCourseWare\) and was developed for use not only in a conventional )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(classroom but in in a massive open online course \(MOOC\). This new edition has been )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(updated for Python 3, reorganized to make it easier to use for courses that cover only a )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(subset of the material, and offers additional material including five new chapters. )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(Students are introduced to Python and the basics of programming in the context of )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(such computational concepts and techniques as exhaustive enumeration, bisection )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(search, and efficient approximation algorithms. Although it covers such traditional )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(topics as computational complexity and simple algorithms, the book focuses on a wide )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(range of topics not found in most introductory texts, including information visualization, )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(simulations to model randomness, computational techniques to understand data, and )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(statistical techniques that inform \(and misinform\) as well as two related but relatively )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(advanced topics: optimization problems and dynamic programming. This edition offers )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(expanded material on statistics and machine learning and new chapters on Frequentist )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(and Bayesian statistics.)] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(Numerical Methods for Scientific Computing)] TJ ET
BT 296.591 355.844 Td /F1 13.5 Tf [( Kyle Novak 2017-01-05 Scientists and )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(engineers often use algorithms without fully knowing what's happening inside them. )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(This blind faith can lead to inefficient solutions and sometimes flat-out wrong ones. This )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(book breaks open the algorithmic black boxes to help you understand how they work )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(and why they can break down. Ideal for first-year graduate students, this book works to )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(build both the intuitive understanding of underlying mathematical theory and useful )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(skills for research. Examples worked out in detail provide a practical guide for using )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(numerical methods in linear algebra, numerical analysis, and partial differential )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(equations.)] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(Numerical Python)] TJ ET
BT 140.544 207.492 Td /F1 13.5 Tf [( Robert Johansson 2015-10-07 Numerical Python by Robert )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(Johansson shows you how to leverage the numerical and mathematical modules in )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(Python and its Standard Library as well as popular open source numerical Python )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(packages like NumPy, FiPy, matplotlib and more to numerically compute solutions and )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(mathematically model applications in a number of areas like big data, cloud computing, )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(financial engineering, business management and more. After reading and using this )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(book, you'll get some takeaway case study examples of applications that can be found )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(in areas like business management, big data/cloud computing, financial engineering )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(\(i.e., options trading investment alternatives\), and even games. Up until very recently, )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(Python was mostly regarded as just a web scripting language. Well, computational )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(scientists and engineers have recently discovered the flexibility and power of Python to )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(do more. Big data analytics and cloud computing programmers are seeing Python's )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(immense use. Financial engineers are also now employing Python in their work. Python )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(seems to be evolving as a language that can even rival C++, Fortran, and )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(Pascal/Delphi for numerical and mathematical computations.)] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(Introduction to Scientific Programming with Python)] TJ ET
BT 335.633 289.910 Td /F1 13.5 Tf [( Joakim Sundnes 2020 This open )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(access book offers an initial introduction to programming for scientific and )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(computational applications using the Python programming language. The presentation )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(style is compact and example-based, making it suitable for students and researchers )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(with little or no prior experience in programming. The book uses relevant examples )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(from mathematics and the natural sciences to present programming as a practical )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(toolbox that can quickly enable readers to write their own programs for data processing )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(and mathematical modeling. These tools include file reading, plotting, simple text )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(analysis, and using NumPy for numerical computations, which are fundamental building )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(blocks of all programs in data science and computational science. At the same time, )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(readers are introduced to the fundamental concepts of programming, including )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(variables, functions, loops, classes, and object-oriented programming. Accordingly, the )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(book provides a sound basis for further computer science and programming studies.)] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(Learning Linux Binary Analysis)] TJ ET
BT 218.588 75.624 Td /F1 13.5 Tf [( Ryan "elfmaster" O'Neill 2016-02-29 Uncover the )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(secrets of Linux binary analysis with this handy guide About This Book Grasp the )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(intricacies of the ELF binary format of UNIX and Linux Design tools for reverse )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(engineering and binary forensic analysis Insights into UNIX and Linux memory )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(infections, ELF viruses, and binary protection schemes Who This Book Is For If you are )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(a software engineer or reverse engineer and want to learn more about Linux binary )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(analysis, this book will provide you with all you need to implement solutions for binary )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(analysis in areas of security, forensics, and antivirus. This book is great for both )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(security enthusiasts and system level engineers. Some experience with the C )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(programming language and the Linux command line is assumed. What You Will Learn )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(Explore the internal workings of the ELF binary format Discover techniques for UNIX )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(Virus infection and analysis Work with binary hardening and software anti-tamper )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(methods Patch executables and process memory Bypass anti-debugging measures )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(used in malware Perform advanced forensic analysis of binaries Design ELF-related )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(tools in the C language Learn to operate on memory with ptrace In Detail Learning )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(Linux Binary Analysis is packed with knowledge and code that will teach you the inner )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(workings of the ELF format, and the methods used by hackers and security analysts for )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(virus analysis, binary patching, software protection and more. This book will start by )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(taking you through UNIX/Linux object utilities, and will move on to teaching you all )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(about the ELF specimen. You will learn about process tracing, and will explore the )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(different types of Linux and UNIX viruses, and how you can make use of ELF Virus )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(Technology to deal with them. The latter half of the book discusses the usage of )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(Kprobe instrumentation for kernel hacking, code patching, and debugging. You will )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(discover how to detect and disinfect kernel-mode rootkits, and move on to analyze )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(static code. Finally, you will be walked through complex userspace memory infection )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(analysis. This book will lead you into territory that is uncharted even by some experts; )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(right into the world of the computer hacker. Style and approach The material in this )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(book provides detailed insight into the arcane arts of hacking, coding, reverse )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(engineering Linux executables, and dissecting process memory. In the computer )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(security industry these skills are priceless, and scarce. The tutorials are filled with )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(knowledge gained through first hand experience, and are complemented with frequent )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(examples including source code.)] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(Scientific Computing)] TJ ET
BT 157.055 207.492 Td /F1 13.5 Tf [( Michael T. Heath 2018-11-14 This book differs from traditional )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(numerical analysis texts in that it focuses on the motivation and ideas behind the )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(algorithms presented rather than on detailed analyses of them. It presents a broad )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(overview of methods and software for solving mathematical problems arising in )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(computational modeling and data analysis, including proper problem formulation, )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(selection of effective solution algorithms, and interpretation of results.? In the 20 years )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(since its original publication, the modern, fundamental perspective of this book has )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(aged well, and it continues to be used in the classroom. This Classics edition has been )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(updated to include pointers to Python software and the Chebfun package, expansions )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(on barycentric formulation for Lagrange polynomial interpretation and stochastic )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(methods, and the availability of about 100 interactive educational modules that )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(dynamically illustrate the concepts and algorithms in the book. Scientific Computing: An )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(Introductory Survey, Second Edition is intended as both a textbook and a reference for )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(computationally oriented disciplines that need to solve mathematical problems.)] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(Mastering Numerical Computing with NumPy)] TJ ET
BT 302.571 306.393 Td /F1 13.5 Tf [( Umit Mert Cakmak 2018-06-28 Enhance )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(the power of NumPy and start boosting your scientific computing capabilities Key )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(Features Grasp all aspects of numerical computing and understand NumPy Explore )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(examples to learn exploratory data analysis \(EDA\), regression, and clustering Access )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(NumPy libraries and use performance benchmarking to select the right tool Book )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(Description NumPy is one of the most important scientific computing libraries available )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(for Python. Mastering Numerical Computing with NumPy teaches you how to achieve )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(expert level competency to perform complex operations, with in-depth coverage of )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(advanced concepts. Beginning with NumPy's arrays and functions, you will familiarize )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(yourself with linear algebra concepts to perform vector and matrix math operations. You )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(will thoroughly understand and practice data processing, exploratory data analysis )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(\(EDA\), and predictive modeling. You will then move on to working on practical )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(examples which will teach you how to use NumPy statistics in order to explore US )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(housing data and develop a predictive model using simple and multiple linear )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(regression techniques. Once you have got to grips with the basics, you will explore )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(unsupervised learning and clustering algorithms, followed by understanding how to )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(write better NumPy code while keeping advanced considerations in mind. The book )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(also demonstrates the use of different high-performance numerical computing libraries )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(and their relationship with NumPy. You will study how to benchmark the performance of )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(different configurations and choose the best for your system. By the end of this book, )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(you will have become an expert in handling and performing complex data )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(manipulations. What you will learn Perform vector and matrix operations using NumPy )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(Perform exploratory data analysis \(EDA\) on US housing data Develop a predictive )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(model using simple and multiple linear regression Understand unsupervised learning )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(and clustering algorithms with practical use cases Write better NumPy code and )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(implement the algorithms from scratch Perform benchmark tests to choose the best )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(configuration for your system Who this book is for Mastering Numerical Computing with )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(NumPy is for you if you are a Python programmer, data analyst, data engineer, or a )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(data science enthusiast, who wants to master the intricacies of NumPy and build )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(solutions for your numeric and scientific computational problems. You are expected to )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(have familiarity with mathematics to get the most out of this book.)] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(Numerical Analysis and Optimization)] TJ ET
BT 253.823 125.075 Td /F1 13.5 Tf [( Grégoire Allaire 2007-05-24 This text, based on )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(the author's teaching at École Polytechnique, introduces the reader to the world of )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(mathematical modelling and numerical simulation. Covering the finite difference )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(method; variational formulation of elliptic problems; Sobolev spaces; elliptical problems; )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(the finite element method; Eigenvalue problems; evolution problems; optimality )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(conditions and algorithms and methods of operational research, and including a several )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(exercises throughout, this is an ideal text for advanced undergraduate students and )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(graduates in applied mathematics, engineering, computer science, and the physical )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(sciences.)] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(Elegant SciPy)] TJ ET
0.27 w 0 J [ ] 0 d
34.016 304.166 m 118.053 304.166 l S
BT 118.053 306.393 Td /F1 13.5 Tf [( Juan Nunez-Iglesias 2017-08-11 Welcome to Scientific Python and its )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(community. If you’re a scientist who programs with Python, this practical guide not only )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(teaches you the fundamental parts of SciPy and libraries related to it, but also gives )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(you a taste for beautiful, easy-to-read code that you can use in practice. You’ll learn )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(how to write elegant code that’s clear, concise, and efficient at executing the task at )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(hand. Throughout the book, you’ll work with examples from the wider scientific Python )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(ecosystem, using code that illustrates principles outlined in the book. Using actual )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(scientific data, you’ll work on real-world problems with SciPy, NumPy, Pandas, scikit-)] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(image, and other Python libraries. Explore the NumPy array, the data structure that )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(underlies numerical scientific computation Use quantile normalization to ensure that )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(measurements fit a specific distribution Represent separate regions in an image with a )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(Region Adjacency Graph Convert temporal or spatial data into frequency domain data )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(with the Fast Fourier Transform Solve sparse matrix problems, including image )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(segmentations, with SciPy’s sparse module Perform linear algebra by using SciPy )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(packages Explore image alignment \(registration\) with SciPy’s optimize module Process )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(large datasets with Python data streaming primitives and the Toolz library)] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(IPython Interactive Computing and Visualization Cookbook)] TJ ET
0.27 w 0 J [ ] 0 d
34.016 353.616 m 385.178 353.616 l S
BT 385.178 355.844 Td /F1 13.5 Tf [( Cyrille Rossant 2014-09-25 )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(Intended to anyone interested in numerical computing and data science: students, )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(researchers, teachers, engineers, analysts, hobbyists... Basic knowledge of )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(Python/NumPy is recommended. Some skills in mathematics will help you understand )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(the theory behind the computational methods.)] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(Numerical Methods)] TJ ET
0.27 w 0 J [ ] 0 d
34.016 271.199 m 150.291 271.199 l S
BT 150.291 273.426 Td /F1 13.5 Tf [( Anne Greenbaum 2012-04-01 A rigorous and comprehensive )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(introduction to numerical analysis Numerical Methods provides a clear and concise )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(exploration of standard numerical analysis topics, as well as nontraditional ones, )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(including mathematical modeling, Monte Carlo methods, Markov chains, and fractals. )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(Filled with appealing examples that will motivate students, the textbook considers )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(modern application areas, such as information retrieval and animation, and classical )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(topics from physics and engineering. Exercises use MATLAB and promote )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(understanding of computational results. The book gives instructors the flexibility to )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(emphasize different aspects—design, analysis, or computer implementation—of )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(numerical algorithms, depending on the background and interests of students. )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(Designed for upper-division undergraduates in mathematics or computer science )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(classes, the textbook assumes that students have prior knowledge of linear algebra )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(and calculus, although these topics are reviewed in the text. Short discussions of the )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(history of numerical methods are interspersed throughout the chapters. The book also )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(includes polynomial interpolation at Chebyshev points, use of the MATLAB package )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(Chebfun, and a section on the fast Fourier transform. Supplementary materials are )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(available online. Clear and concise exposition of standard numerical analysis topics )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(Explores nontraditional topics, such as mathematical modeling and Monte Carlo )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(methods Covers modern applications, including information retrieval and animation, )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(and classical applications from physics and engineering Promotes understanding of )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(computational results through MATLAB exercises Provides flexibility so instructors can )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(emphasize mathematical or applied/computational aspects of numerical methods or a )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(combination Includes recent results on polynomial interpolation at Chebyshev points )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(and use of the MATLAB package Chebfun Short discussions of the history of numerical )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(methods interspersed throughout Supplementary materials available online)] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(Numerical Python)] TJ ET
BT 140.544 191.009 Td /F1 13.5 Tf [( Robert Johansson 2019-01-19 Leverage the numerical and )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(mathematical modules in Python and its standard library as well as popular open )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(fully revised edition, updated with the latest details of each package and changes to )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(Jupyter projects, demonstrates how to numerically compute solutions and )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(mathematically model applications in big data, cloud computing, financial engineering, )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(business management and more. Numerical Python, Second Edition, presents many )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(brand-new case study examples of applications in data science and statistics using )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(Python, along with extensions to many previous examples. Each of these demonstrates )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(the power of Python for rapid development and exploratory computing due to its simple )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(and high-level syntax and multiple options for data analysis. After reading this book, )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(readers will be familiar with many computing techniques including array-based and )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(symbolic computing, visualization and numerical file I/O, equation solving, optimization, )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(interpolation and integration, and domain-specific computational problems, such as )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(differential equation solving, data analysis, statistical modeling and machine learning. )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(What You'll Learn Work with vectors and matrices using NumPy Plot and visualize data )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(with Matplotlib Perform data analysis tasks with Pandas and SciPy Review statistical )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(modeling and machine learning with statsmodels and scikit-learn Optimize Python code )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(using Numba and Cython Who This Book Is For Developers who want to understand )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(how to use Python and its related ecosystem for numerical computing.)] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(Introduction to Python for Science and Engineering)] TJ ET
BT 338.684 191.009 Td /F1 13.5 Tf [( David J. Pine 2018-08-15 This )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(guide offers a rapid introduction to Python programming to anyone with no experience )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(in programming, taking a careful and methodical approach to presenting the features )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(available and their use for performing practical scientific and engineering tasks.)] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(Applied Scientific Computing)] TJ ET
BT 205.830 125.075 Td /F1 13.5 Tf [( Peter R. Turner 2018-07-18 This easy-to-understand )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(textbook presents a modern approach to learning numerical methods \(or scientific )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(computing\), with a unique focus on the modeling and applications of the mathematical )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(content. Emphasis is placed on the need for, and methods of, scientific computing for a )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(range of different types of problems, supplying the evidence and justification to )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(motivate the reader. Practical guidance on coding the methods is also provided, )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(through simple-to-follow examples using Python. Topics and features: provides an )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(accessible and applications-oriented approach, supported by working Python code for )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(many of the methods; encourages both problem- and project-based learning through )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(extensive examples, exercises, and projects drawn from practical applications; )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(introduces the main concepts in modeling, python programming, number )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(representation, and errors; explains the essential details of numerical calculus, linear, )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(and nonlinear equations, including the multivariable Newton method; discusses )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(interpolation and the numerical solution of differential equations, covering polynomial )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(interpolation, splines, and the Euler, Runge–Kutta, and shooting methods; presents )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(largely self-contained chapters, arranged in a logical order suitable for an introductory )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(course on scientific computing. Undergraduate students embarking on a first course on )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(numerical methods or scientific computing will find this textbook to be an invaluable )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(guide to the field, and to the application of these methods across such varied )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(disciplines as computer science, engineering, mathematics, economics, the physical )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(sciences, and social science.)] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(Python for Scientists)] TJ ET
BT 157.068 108.591 Td /F1 13.5 Tf [( John M. Stewart 2017-07-31 Scientific Python is a significant )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(public domain alternative to expensive proprietary software packages. This book )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(teaches from scratch everything the working scientist needs to know using copious, )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(downloadable, useful and adaptable code snippets. Readers will discover how easy it is )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(to implement and test non-trivial mathematical algorithms and will be guided through )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(the many freely available add-on modules. A range of examples, relevant to many )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(different fields, illustrate the language's capabilities. The author also shows how to use )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(pre-existing legacy code \(usually in Fortran77\) within the Python environment, thus )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(avoiding the need to master the original code. In this new edition, several chapters )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(have been re-written to reflect the IPython notebook style. With an extended index, an )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(entirely new chapter discussing SymPy and a substantial increase in the number of )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(code snippets, researchers and research students will be able to quickly acquire all the )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(skills needed for using Python effectively.)] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(Scientific Computing with Python)] TJ ET
BT 230.589 223.976 Td /F1 13.5 Tf [( Claus Fuhrer 2021-07-30 Leverage this example-)] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(packed, comprehensive guide for all your Python computational needs Key )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(FeaturesLearn the first steps within Python to highly specialized conceptsExplore )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(examples and code snippets taken from typical programming situations within scientific )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(computing.Delve into essential computer science concepts like iterating, object-oriented )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(programming, testing, and MPI presented in strong connection to applications within )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(scientific computing.Book Description Python has tremendous potential within the )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(scientific computing domain. This updated edition of Scientific Computing with Python )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(features new chapters on graphical user interfaces, efficient data processing, and )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(parallel computing to help you perform mathematical and scientific computing efficiently )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(using Python. This book will help you to explore new Python syntax features and create )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(different models using scientific computing principles. The book presents Python )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(alongside mathematical applications and demonstrates how to apply Python concepts )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(in computing with the help of examples involving Python 3.8. You'll use pandas for )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(basic data analysis to understand the modern needs of scientific computing, and cover )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(data module improvements and built-in features. You'll also explore numerical )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(computation modules such as NumPy and SciPy, which enable fast access to highly )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(efficient numerical algorithms. By learning to use the plotting module Matplotlib, you will )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(be able to represent your computational results in talks and publications. A special )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(chapter is devoted to SymPy, a tool for bridging symbolic and numerical computations. )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(By the end of this Python book, you'll have gained a solid understanding of task )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(automation and how to implement and test mathematical algorithms within the realm of )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(scientific computing. What you will learnUnderstand the building blocks of )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(computational mathematics, linear algebra, and related Python objectsUse Matplotlib to )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(create high-quality figures and graphics to draw and visualize resultsApply object-)] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(oriented programming \(OOP\) to scientific computing in PythonDiscover how to use )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(pandas to enter the world of data processingHandle exceptions for writing reliable and )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(usable codeCover manual and automatic aspects of testing for scientific )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(programmingGet to grips with parallel computing to increase computation speedWho )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(this book is for This book is for students with a mathematical background, university )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(teachers designing modern courses in programming, data scientists, researchers, )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(developers, and anyone who wants to perform scientific computation in Python.)] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(Numerical Python)] TJ ET
BT 140.544 355.844 Td /F1 13.5 Tf [( Robert Johansson 2018-12-24 Leverage the numerical and )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(mathematical modules in Python and its standard library as well as popular open )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(fully revised edition, updated with the latest details of each package and changes to )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(Jupyter projects, demonstrates how to numerically compute solutions and )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(mathematically model applications in big data, cloud computing, financial engineering, )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(business management and more. Numerical Python, Second Edition, presents many )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(brand-new case study examples of applications in data science and statistics using )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(Python, along with extensions to many previous examples. Each of these demonstrates )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(the power of Python for rapid development and exploratory computing due to its simple )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(and high-level syntax and multiple options for data analysis. After reading this book, )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(readers will be familiar with many computing techniques including array-based and )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(symbolic computing, visualization and numerical file I/O, equation solving, optimization, )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(interpolation and integration, and domain-specific computational problems, such as )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(differential equation solving, data analysis, statistical modeling and machine learning. )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(What You'll Learn Work with vectors and matrices using NumPy Plot and visualize data )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(with Matplotlib Perform data analysis tasks with Pandas and SciPy Review statistical )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(modeling and machine learning with statsmodels and scikit-learn Optimize Python code )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(using Numba and Cython Who This Book Is For Developers who want to understand )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(how to use Python and its related ecosystem for numerical computing.)] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(A Primer on Scientific Programming with Python)] TJ ET
0.27 w 0 J [ ] 0 d
34.016 353.616 m 321.350 353.616 l S
BT 321.350 355.844 Td /F1 13.5 Tf [( Hans Petter Langtangen 2016-07-28 )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(The book serves as a first introduction to computer programming of scientific )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(applications, using the high-level Python language. The exposition is example and )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(problem-oriented, where the applications are taken from mathematics, numerical )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(procedural programming as well as object-oriented programming. High school )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(mathematics is a required background and it is advantageous to study classical and )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(numerical one-variable calculus in parallel with reading this book. Besides learning how )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(to program computers, the reader will also learn how to solve mathematical problems, )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(arising in various branches of science and engineering, with the aid of numerical )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(methods and programming. By blending programming, mathematics and scientific )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(applications, the book lays a solid foundation for practicing computational science. )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(From the reviews: Langtangen ... does an excellent job of introducing programming as )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(a set of skills in problem solving. He guides the reader into thinking properly about )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(producing program logic and data structures for modeling real-world problems using )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(objects and functions and embracing the object-oriented paradigm. ... Summing Up: )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(Highly recommended. F. H. Wild III, Choice, Vol. 47 \(8\), April 2010 Those of us who )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(have learned scientific programming in Python ‘on the streets’ could be a little jealous )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(of students who have the opportunity to take a course out of Langtangen’s Primer.” )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(John D. Cook, The Mathematical Association of America, September 2011 This book )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(goes through Python in particular, and programming in general, via tasks that scientists )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(will likely perform. It contains valuable information for students new to scientific )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(computing and would be the perfect bridge between an introduction to programming )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(and an advanced course on numerical methods or computational science. Alex Small, )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(IEEE, CiSE Vol. 14 \(2\), March /April 2012 “This fourth edition is a wonderful, inclusive )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(textbook that covers pretty much everything one needs to know to go from zero to fairly )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(sophisticated scientific programming in Python...” Joan Horvath, Computing Reviews, )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(March 2015)] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(Learning SciPy for Numerical and Scientific Computing - Second Edition)] TJ ET
BT 464.679 223.976 Td /F1 13.5 Tf [( Sergio J. )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(Rojas G. 2015-02-26 This book targets programmers and scientists who have basic )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(Python knowledge and who are keen to perform scientific and numerical computations )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(with SciPy.)] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(Learning Scientific Programming with Python)] TJ ET
0.27 w 0 J [ ] 0 d
34.016 155.814 m 302.612 155.814 l S
BT 302.612 158.042 Td /F1 13.5 Tf [( Christian Hill 2020-10-22 This fast-paced )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(introduction to Python moves from the basics to advanced concepts, enabling readers )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(to gain proficiency quickly.)] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(NumPy: Beginner's Guide)] TJ ET
BT 188.901 108.591 Td /F1 13.5 Tf [( Ivan Idris 2015-06-24 In today's world of science and )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(technology, it's all about speed and flexibility. When it comes to scientific computing, )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(NumPy tops the list. NumPy will give you both speed and high productivity. This book )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(will walk you through NumPy with clear, step-by-step examples and just the right )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(amount of theory. The book focuses on the fundamentals of NumPy, including array )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(objects, functions, and matrices, each of them explained with practical examples. You )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(will then learn about different NumPy modules while performing mathematical )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(operations such as calculating the Fourier transform, finding the inverse of a matrix, )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(and determining eigenvalues, among many others. This book is a one-stop solution to )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(knowing the ins and outs of the vast NumPy library, empowering you to use its wide )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(range of mathematical features to build efficient, high-speed programs.)] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(Learning NumPy Array)] TJ ET
BT 170.555 256.943 Td /F1 13.5 Tf [( Ivan Idris 2014-06-13 A step-by-step guide, packed with )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(examples of practical numerical analysis that will give you a comprehensive, but )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(concise overview of NumPy. This book is for programmers, scientists, or engineers, )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(who have basic Python knowledge and would like to be able to do numerical )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(computations with Python.)] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(Python Programming and Numerical Methods)] TJ ET
BT 307.107 174.525 Td /F1 13.5 Tf [( Qingkai Kong 2020-11-27 Python )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(Programming and Numerical Methods: A Guide for Engineers and Scientists introduces )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(programming tools and numerical methods to engineering and science students, with )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(the goal of helping the students to develop good computational problem-solving )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(techniques through the use of numerical methods and the Python programming )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(language. Part One introduces fundamental programming concepts, using simple )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(examples to put new concepts quickly into practice. Part Two covers the fundamentals )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(of algorithms and numerical analysis at a level that allows students to quickly apply )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(results in practical settings. Includes tips, warnings and "try this" features within each )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(chapter to help the reader develop good programming practice Summaries at the end )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(of each chapter allow for quick access to important information Includes code in Jupyter )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(notebook format that can be directly run online)] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(Numerical and Scientific Computing with SciPy)] TJ ET
BT 313.844 306.393 Td /F1 13.5 Tf [( Sergio Rojas 2017 "This practical )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(course begins with an introduction to the Python SciPy Stack and a coverage of its )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(basic usage cases. You will then delve right into the different functionalities offered by )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(the main modules comprising the SciPy Stack \(Numpy, Scipy, and Matplotlib\) and see )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(the basics on how they can be implemented in real-life scenarios. You will see how you )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(can make the most of the algorithms in the SciPy Stack to solve problems in linear )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(algebra, numerical analysis, visualization, and much more, including some practical )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(examples drawn from the field of Machine Learning."--Resource description page.)] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(Mastering Python Scientific Computing)] TJ ET
0.27 w 0 J [ ] 0 d
34.016 172.298 m 265.851 172.298 l S
BT 265.851 174.525 Td /F1 13.5 Tf [( Hemant Kumar Mehta 2015-09-23 A complete )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(guide for Python programmers to master scientific computing using Python APIs and )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(tools About This Book The basics of scientific computing to advanced concepts )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(involving parallel and large scale computation are all covered. Most of the Python APIs )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(and tools used in scientific computing are discussed in detail The concepts are )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(discussed with suitable example programs Who This Book Is For If you are a Python )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(programmer and want to get your hands on scientific computing, this book is for you. )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(The book expects you to have had exposure to various concepts of Python )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(programming. What You Will Learn Fundamentals and components of scientific )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(computing Scientific computing data management Performing numerical computing )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(using NumPy and SciPy Concepts and programming for symbolic computing using )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(SymPy Using the plotting library matplotlib for data visualization Data analysis and )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(visualization using Pandas, matplotlib, and IPython Performing parallel and high )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(performance computing Real-life case studies and best practices of scientific )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(computing In Detail In today's world, along with theoretical and experimental work, )] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(scientific computing has become an important part of scientific disciplines. Numerical )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(calculations, simulations and computer modeling in this day and age form the vast )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(majority of both experimental and theoretical papers. In the scientific method, )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(replication and reproducibility are two important contributing factors. A complete and )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(concrete scientific result should be reproducible and replicable. Python is suitable for )] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(scientific computing. A large community of users, plenty of help and documentation, a )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(large collection of scientific libraries and environments, great performance, and good )] TJ ET
BT 34.016 141.558 Td /F1 13.5 Tf [(support makes Python a great choice for scientific computing. At present Python is )] TJ ET
BT 34.016 125.075 Td /F1 13.5 Tf [(among the top choices for developing scientific workflow and the book targets existing )] TJ ET
BT 34.016 108.591 Td /F1 13.5 Tf [(Python developers to master this domain using Python. The main things to learn in the )] TJ ET
BT 34.016 92.108 Td /F1 13.5 Tf [(book are the concept of scientific workflow, managing scientific workflow data and )] TJ ET
BT 34.016 75.624 Td /F1 13.5 Tf [(performing computation on this data using Python. The book discusses NumPy, SciPy, )] TJ ET
BT 34.016 59.141 Td /F1 13.5 Tf [(SymPy, matplotlib, Pandas and IPython with several example programs. Style and )] TJ ET
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BT 34.016 372.327 Td /F1 13.5 Tf [(approach This book follows a hands-on approach to explain the complex concepts )] TJ ET
BT 34.016 355.844 Td /F1 13.5 Tf [(related to scientific computing. It details various APIs using appropriate examples.)] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(IPython Notebook Essentials)] TJ ET
BT 206.600 339.360 Td /F1 13.5 Tf [( L. Felipe Martins 2014-11-21 If you are a professional, )] TJ ET
BT 34.016 322.877 Td /F1 13.5 Tf [(student, or educator who wants to learn to use IPython Notebook as a tool for technical )] TJ ET
BT 34.016 306.393 Td /F1 13.5 Tf [(and scientific computing, visualization, and data analysis, this is the book for you. This )] TJ ET
BT 34.016 289.910 Td /F1 13.5 Tf [(book will prove valuable for anyone that needs to do computations in an agile )] TJ ET
BT 34.016 273.426 Td /F1 13.5 Tf [(environment.)] TJ ET
BT 34.016 256.943 Td /F1 13.5 Tf [(Machine Learning Algorithms)] TJ ET
0.27 w 0 J [ ] 0 d
34.016 254.715 m 208.827 254.715 l S
BT 208.827 256.943 Td /F1 13.5 Tf [( Giuseppe Bonaccorso 2018-08-30 Machine learning )] TJ ET
BT 34.016 240.459 Td /F1 13.5 Tf [(explores the study and construction of algorithms that can learn from and make )] TJ ET
BT 34.016 223.976 Td /F1 13.5 Tf [(predictions on data. This book will act as an entry point for anyone who wants to make )] TJ ET
BT 34.016 207.492 Td /F1 13.5 Tf [(a career in Machine Learning. It covers algorithms like Linear regression, Logistic )] TJ ET
BT 34.016 191.009 Td /F1 13.5 Tf [(Regression, SVM, Naïve Bayes, K-Means, Random Forest, and Feature engineering.)] TJ ET
BT 34.016 174.525 Td /F1 13.5 Tf [(Python Scripting for Computational Science)] TJ ET
0.27 w 0 J [ ] 0 d
34.016 172.298 m 294.377 172.298 l S
BT 294.377 174.525 Td /F1 13.5 Tf [( Hans Petter Langtangen 2013-03-14 )] TJ ET
BT 34.016 158.042 Td /F1 13.5 Tf [(Scripting with Python makes you productive and increases the reliability of your )] TJ ET
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BT 34.016 59.141 Td /F1 13.5 Tf [(with graphical user interfaces; making computational Web services; creating interactive )] TJ ET
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BT 34.016 355.844 Td /F1 13.5 Tf [(Fortran; and building flexible object-oriented programming interfaces to existing C/C++ )] TJ ET
BT 34.016 339.360 Td /F1 13.5 Tf [(or Fortran libraries.)] TJ ET
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