This chapter is about special arrays and universal functions. These are topics that you may not encounter every day, but they are still important enough to mention here. Universal functions (Ufuncs) work on arrays element by element, or on scalars. Ufuncs accept a set of scalars as the input and produce a set of scalars as the output. Universal functions can typically be mapped onto their mathematical counterparts such as addition, subtraction, division, multiplication, and so on. The special arrays mentioned here are all subclasses of the basic NumPy array object, and offer additional functionality.
NumPy Cookbook - Second Edition
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NumPy Cookbook - Second Edition
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Overview of this book
<p>NumPy has the ability to give you speed and high productivity. High performance calculations can be done easily with clean and efficient code, and it allows you to execute complex algebraic and mathematical computations in no time.</p>
<p>This book will give you a solid foundation in NumPy arrays and universal functions. Starting with the installation and configuration of IPython, you'll learn about advanced indexing and array concepts along with commonly used yet effective functions. You will then cover practical concepts such as image processing, special arrays, and universal functions. You will also learn about plotting with Matplotlib and the related SciPy project with the help of examples. At the end of the book, you will study how to explore atmospheric pressure and its related techniques. By the time you finish this book, you'll be able to write clean and fast code with NumPy.</p>
Table of Contents (19 chapters)
NumPy Cookbook Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Winding Along with IPython
Advanced Indexing and Array Concepts
Getting to Grips with Commonly Used Functions
Connecting NumPy with the Rest of the World
Audio and Image Processing
Special Arrays and Universal Functions
Profiling and Debugging
Quality Assurance
Speeding Up Code with Cython
Fun with Scikits
Latest and Greatest NumPy
Exploratory and Predictive Data Analysis with NumPy
Index
Customer Reviews