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

Reading and writing CSV


CSV is considered one of the best exchange formats for tabular data; nearly all spreadsheet tools support reading and writing CSV, and it's easy to edit it with any plain text editor as it's easy for humans to understand.

Just split and set the values with a comma and you have practically written a CSV document.

Python has very good built-in support for reading CSV files, and we can easily write or read CSV data through the csv module.

We will see how it's possible to read and write a table:

"ID","Name","Surname","Language"
1,"Alessandro","Molina","Italian"
2,"Mika","Häkkinen","Suomi"
3,"Sebastian","Vettel","Deutsch"

How to do it...

Let's see the steps for this recipe:

  1. First of all, we will see how to write the specified table:
import csv

with open('/tmp/table.csv', 'w', encoding='utf-8') as f:
    writer = csv.writer(f, quoting=csv.QUOTE_NONNUMERIC)
    writer.writerow(("ID","Name","Surname","Language"))
    writer.writerow((1,"Alessandro","Molina","Italian"))
    writer...