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Home > Computing and Information Technology Books > Computer programming / software engineering > Web programming > Numpy Beginner's Guide (Update): Build efficient, high-speed programs using the high-performance NumPy mathematical library
Numpy Beginner's Guide (Update): Build efficient, high-speed programs using the high-performance NumPy mathematical library

Numpy Beginner's Guide (Update): Build efficient, high-speed programs using the high-performance NumPy mathematical library


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About the Book

Key Features Book DescriptionThis book is for the scientists, engineers, programmers, or analysts looking for a high-quality, open source mathematical library. Knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is required. However, I have provided brief explanations and pointers to learning resources.What you will learn Install NumPy, matplotlib, SciPy, and IPython on various operating systems Use NumPy array objects to perform array operations Familiarize yourself with commonly used NumPy functions Use NumPy matrices for matrix algebra Work with the NumPy modules to perform various algebraic operations Test NumPy code with the numpy.testing module Plot simple plots, subplots, histograms, and more with matplotlib Who this book is forThis book is for the scientists, engineers, programmers, or analysts looking for a high-quality, open source mathematical library. Knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is required. However, I have provided brief explanations and pointers to learning resources.

Table of Contents:
Table of Contents

  1. NumPy and Python Quick Start
  2. Beginning with NumPy Fundamentals
  3. Understanding Commonly Used Functions
  4. Convenience Functions for Your Convenience
  5. Working with Matrices and ufuncs
  6. Moving Further with NumPy Modules
  7. Peeking into Special Routines
  8. Assuring Quality with Testing
  9. Plotting with Matplotlib
  10. When NumPy is Not Enough ? SciPy and Beyond
  11. Playing with Pygame
  12. Appendix A
  13. Appendix B
  14. Appendix C


About the Author :
Ivan Idris has an MSc in experimental physics. His graduation thesis had a strong emphasis on applied computer science. After graduating, he worked for several companies as a Java developer, data warehouse developer, and QA analyst. His main professional interests are business intelligence, big data, and cloud computing. Ivan Idris enjoys writing clean, testable code and interesting technical articles. Ivan Idris is the author of NumPy 1.5. Beginner's Guide and NumPy Cookbook by Packt Publishing.


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Product Details
  • ISBN-13: 9781785288838
  • Publisher: Packt Publishing Limited
  • Publisher Imprint: Packt Publishing Limited
  • Edition: Revised edition
  • No of Pages: 348
  • ISBN-10: 1785288830
  • Publisher Date: 24 Jun 2015
  • Binding: Digital (delivered electronically)
  • Language: English
  • Sub Title: Build efficient, high-speed programs using the high-performance NumPy mathematical library


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Numpy Beginner's Guide (Update): Build efficient, high-speed programs using the high-performance NumPy mathematical library
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