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