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 developed an application to cast votes on Twitter and we learned the different concepts and paradigms of the Python programming language.

By creating the hashtag voting application, you have learned how to create and configure a Twitter app and also how to implement a three-legged OAuth authentication to consume data from the Twitter API.

We also learned how to use the logging module to show informational messages to the users of our application. Like the previous modules, we also created a command-line parser using the ArgumentParser module in the standard library.

We also had an introduction to reactive programming using the Rx (Reactive Extensions for Python) module. Then we used the concurrent.futures module to enhance the performance of our application, running multiple requests to the Twitter API in parallel.

Lastly, we built a user interface using the Tkinter module.

In the next chapter, we are going to build an application that will fetch exchange rate data...