Python Recipes Handbook: A Problem-Solution Approach

Book Description

Learn the code to write algorithms, numerical computations, data analysis and much more using the Python language: look up and re-use the recipes for your own Python coding. This book is your handy code cookbook reference. Whether you’re a maker, game developer, cloud computing programmer and more, this is a must-have reference for your library.

Python Recipes Handbook gives you the most common and contemporary code snippets, using pandas (Python Data Analysis Library), NumPy, and other numerical Python packages.

What You’ll Learn

• Code with the pandas (Python Data Analysis Library)
• Work with the various Python algorithms useful for today’s big data analytics and cloud applications
• Use NumPy and other numerical Python packages and code for doing various kinds of analysis
• Discover Python’s new popular modules, packages, extensions and templates library

Who This Book Is For

This handy reference is for those with some experience with Python.

Table of Contents

Chapter 1: Strings and Texts
Chapter 2: Numbers, Dates, and Times
Chapter 3: Iterators and Generators
Chapter 4: Files and I/O
Chapter 5: Python Data Analysis with pandas
Chapter 6: Functions
Chapter 7: Classes and Objects
Chapter 8: Metaprogramming
Chapter 9: Networking and the Internet
Chapter 10: Modules and Packages
Chapter 11: Numerics and Numpy
Chapter 12: Concurrency
Chapter 13: Utilities
Chapter 14: Testing and Debugging
Chapter 15: C and Other Extensions
Chapter 16: Arduino and RPi Recipes

中文：

书名：Python Recipes Handbook: A Problem-Solution Approach

学习使用Python语言编写算法、数值计算、数据分析和更多内容的代码：查找并重用您自己的Python编码食谱。这本书是您方便的代码食谱参考。无论你是开发人员、游戏开发人员、云计算程序员还是其他人员，这本书都是你图书馆必备的参考资料。

巨蟒食谱 手册 使用PANAS(Python数据分析库)、NumPy和其他Numerical Python包，为您提供最常见和最新的代码片段。

What You’ll Learn

• 用熊猫编写代码(Python数据分析库)
• 使用对当今的大数据分析和云应用程序有用的各种Python算法
• 使用NumPy和其他Numerical Python包和代码进行各种分析
• 了解新的流行模块、包、扩展模块和模板库

这本书是为谁写的

This handy reference is for those with some experience with Python.

目录表

第一章：字符串和文本
第2章：数字、日期和时间
第3章：迭代器和生成器
Chapter 4: Files and I/O
第5章：使用PANAS进行的Python数据分析
第六章：职能
第7章：类和对象
Chapter 8: Metaprogramming
第9章：网络和互联网
第10章：模块和包
第11章：数值和Numpy
Chapter 12: Concurrency
Chapter 13: Utilities
第14章：测试和调试
Chapter 15: C and Other Extensions
Chapter 16: Arduino and RPi Recipes