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Modern Python Standard Library Cookbook

Book Image

Modern Python Standard Library Cookbook

Overview of this book

The Python 3 Standard Library is a vast array of modules that you can use for developing various kinds of applications. It contains an exhaustive list of libraries, and this book will help you choose the best one to address specific programming problems in Python. The Modern Python Standard Library Cookbook begins with recipes on containers and data structures and guides you in performing effective text management in Python. You will find Python recipes for command-line operations, networking, filesystems and directories, and concurrent execution. You will learn about Python security essentials in Python and get to grips with various development tools for debugging, benchmarking, inspection, error reporting, and tracing. The book includes recipes to help you create graphical user interfaces for your application. You will learn to work with multimedia components and perform mathematical operations on date and time. The recipes will also show you how to deploy different searching and sorting algorithms on your data. By the end of the book, you will have acquired the skills needed to write clean code in Python and develop applications that meet your needs.
Table of Contents (21 chapters)
Free Chapter
Title Page
Copyright and Credits
Packt Upsell

Sharing data between processes

When working with threads or coroutines, data is shared across them by virtue of the fact that they share the same memory space. So, you can access any object from any thread, as long as attention is paid to avoiding race conditions and providing proper locking.

With processes, instead, things get far more complicated and no data is shared across them. So when using ProcessPool or ProcessPoolExecutor, we need to find a way to pass data across the processes and make them able to share a common state.

The Python standard library provides many tools to create a communication channel between processes: multiprocessing.Queues, multiprocessing.Pipe, multiprocessing.Value, and multiprocessing.Array can be used to create queues that one process can feed and the other consume, or simply values shared between multiple processes in a shared memory.

While all these are viable solutions, they have some limits: you must create all shared values before creating any process,...

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