Book Image

Modern Python Standard Library Cookbook

By : Alessandro Molina
Book Image

Modern Python Standard Library Cookbook

By: Alessandro Molina

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)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

Chapter 6. Read/Write Data

In this chapter, we will cover the following recipes:

  • Reading and writing text data—reading text encoded in any encoding from a file
  • Reading lines of text—reading a text file divided line by line
  • Reading and writing binary data—reading binary-structured data from a file
  • Zipping a directory—reading and writing a compressed ZIP archive
  • Pickling and shelving—how to save Python objects on disk
  • Reading configuration files—how to read configuration files in the .ini format
  • Writing XML/HTML content—generating XML/HTML content
  • Reading XML/HTML content—parsing XML/HTML content from a file or string
  • Reading and writing CSV—reading and writing CSV spreadsheet-like files
  • Reading and writing to a relational database—loading and saving data into a SQLite database