NumPy Cookbook, Second Edition
- نوع فایل : کتاب
- زبان : انگلیسی
- نویسنده : Ivan Idris
- چاپ و سال / کشور: 2015
- تعداد صفحه : 258
- شابک / ISBN : 1784390941
Description
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.
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.
What You Will Learn
Learn advanced indexing and linear algebra
Deal with missing stock price data using masked arrays
Explore everything you need to know about image processing
Dive into broadcasting and histograms
Profile NumPy code and visualize the results
Speed up your code with Cython
Use universal functions and interoperability features
Analyze your performance using Quality Assurance
Learn about exploratory and predictive data analysis with NumPy
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.
What You Will Learn
Learn advanced indexing and linear algebra
Deal with missing stock price data using masked arrays
Explore everything you need to know about image processing
Dive into broadcasting and histograms
Profile NumPy code and visualize the results
Speed up your code with Cython
Use universal functions and interoperability features
Analyze your performance using Quality Assurance
Learn about exploratory and predictive data analysis with NumPy
