Book Image

Python Programming Blueprints

By : Daniel Furtado, Marcus Pennington
Book Image

Python Programming Blueprints

By: Daniel Furtado, Marcus Pennington

Overview of this book

Python is a very powerful, high-level, object-oriented programming language. It's known for its simplicity and huge community support. Python Programming Blueprints will help you build useful, real-world applications using Python. In this book, we will cover some of the most common tasks that Python developers face on a daily basis, including performance optimization and making web applications more secure. We will familiarize ourselves with the associated software stack and master asynchronous features in Python. We will build a weather application using command-line parsing. We will then move on to create a Spotify remote control where we'll use OAuth and the Spotify Web API. The next project will cover reactive extensions by teaching you how to cast votes on Twitter the Python way. We will also focus on web development by using the famous Django framework to create an online game store. We will then create a web-based messenger using the new Nameko microservice framework. We will cover topics like authenticating users and, storing messages in Redis. By the end of the book, you will have gained hands-on experience in coding with Python.
Table of Contents (17 chapters)
Title Page
Copyright and Credits
Dedication
Contributors
Packt Upsell
Preface
Index

Summary


In this chapter, we have covered a lot of interesting topics. In the first section, while setting up the environment for our application, you learned how to use the super new and popular tool pipenv, which has become the recommend tool at python.org for creating virtual environments and also managing project dependencies.

You also learned the basic concepts of object-oriented programming, how to create custom actions for your command line tools, the basics about context managers which is a really powerful feature in the Python language, how to create enumerations in Python, and how to perform HTTP requests using Requests, which is one of the most popular packages in the Python ecosystem.

Last but not the least, you learned how to use the pymongo package to insert, update, and search for data in a MongoDB database.

In the next chapter, we are going to switch gears and develop a complete, very functional web application using the excellent and very popular Django web framework!