Complex numbers are numbers that have a real and imaginary part. As you remember from previous chapters, NumPy has special complex datatypes that represent complex numbers by two floating point numbers. These numbers can be sorted using the NumPy sort_complex
function. This function sorts the real part first and then the imaginary part.
NumPy 1.5 Beginner's Guide
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NumPy 1.5 Beginner's Guide
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Overview of this book
<p>In today's world of science and technology, the hype is all about speed and flexibility. When it comes to scientific computing, NumPy is on the top of the list. NumPy is the fundamental package needed for scientific computing with Python. NumPy will give you both speed and high productivity. Save thousands of dollars on expensive software, while keeping all the flexibility and power of your favourite programming language.<br /><br /><i>NumPy 1.5 Beginner's Guide</i> will teach you about NumPy from scratch. It includes everything from installation, functions, matrices, and modules to testing, all explained with appropriate examples. <br /><br /><i>Numpy 1.5 Beginner's Guide</i> will teach you about installing and using NumPy and related concepts.</p>
<p>This book will give you a solid foundation in NumPy arrays and universal functions. At the end of the book, we will explore related scientific computing projects such as Matplotlib for plotting and the SciPy project through examples.</p>
<p><i>NumPy 1.5 Beginner's Guide</i> will help you be productive with NumPy and write clean and fast code.</p>
Table of Contents (18 chapters)
NumPy 1.5
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
NumPy Quick Start
Beginning with NumPy Fundamentals
Get into Terms with Commonly Used Functions
Convenience Functions for Your Convenience
Working with Matrices and ufuncs
Move Further with NumPy Modules
Peeking Into Special Routines
Assure Quality with Testing
Plotting with Matplotlib
When NumPy is Not Enough: SciPy and Beyond
Pop Quiz Answers
Index
Customer Reviews