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

Setting up the environment


As usual, we will start by setting up our environment; the first thing we need to do is set up a virtual environment that will allow us to easily install our project dependencies without interfering with Python's global installation.

In the previous chapters, we used virtualenv to create our virtual environment; however, Kenneth Reitz (the creator of the popular package requests) created pipenv.pipenv is for Python what NPM is for Node.js. However, pipenv is used for much more than package management, and it also creates and manages a virtual environment for you. In my opinion, there are a lot of advantages of the old development workflows, but for me, there are two things that stand out: the first is that you no longer need two different tools (pip, virtualenv), and the second is that it is much simpler to have all these great features in just one place.

Another thing that I really like about pipenv is the use of Pipfile. Sometimes, it is really hard to work with...