Python.Recipes.Handbook.A.Problem-Solution.Approach.下载

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