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  • Book Overview & Buying Python Programming Blueprints
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Python Programming Blueprints

Python Programming Blueprints

By : Riti, Furtado, Pennington
4 (2)
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Python Programming Blueprints

Python Programming Blueprints

4 (2)
By: Riti, Furtado, 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 (11 chapters)
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Setting up the development environment


As usual, we are going to start setting up the environment for development. In Chapter 4, Exchange Rates and the Currency Conversion Tool, you were introduced to pipenv, so in this and the following chapters, we are going to be using pipenv to create our virtual environment and manage our dependencies.

First, we want to create the directory where we are going to keep our project. In your working directory, create a directory called django-project as follows:

mkdir django-project && cd django-project

Now we can run pipenv to create our virtual environment:

pipenv --three

If you have Python 3 installed in another location, you can use the argument --python and specify the path where the Python executable is located. If everything went fine, you should see an output such as the following:

Now we can activate our virtual environment using the pipenv command shell:

pipenv shell

Great! The only dependency that we are going to add for now is Django.

Note

At...

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