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Setting up a Python environment

Table of Contents

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1. Using a git provider

The first thing to do is select a GIT hosting service. The most popular are:

Those services host your GIT repository and allow you to interact with your team. There are some methodologies that you can follow when working with GIT, my suggestion is that you use gitflow: Domain LogoUsing gitflow for code control

1.1. Protecting branches

As I suggested it is a good practice to use pull request to integrate changes to the develop and/or master branches. Since people can do mistakes you should set some branch protection.

As an example this is how you prevent the master branch to be deleted or to have direct changes (all changes should come from a pull request).

Github branch protection

2. Install a custom terminal

If you are developing you almost certainly will also be using a terminal. If you are a Windows the default terminal lacks a lot of nice features so I you can install a custom terminal.

My personal favorite is cmder: Domain LogoCmder terminal for windows

With cmder you can define your own alias. Here you have an example of the ones I am using:


ll=ls -lah  
cdp=cd c:/GIT  # This is my default folder for GIT projects
jn=cd C:/GIT $t jupyter notebook  
jl=cd c:/GIT $t jupyter lab  
rf=python src/ 

You should append that to the end of the user_aliases.cmd file. Do not remove the existing content.

3. Connect to your GIT hosting service

There are different ways to connect to the GIT hosting service. The more secure one is by setting up a SSH key: Domain LogoUsing git with SSH

3.1. GIT Client

You can work with GIT with your terminal or by using a program. In my case I like using Domain LogoSublime Merge.

It works in Windows, Mac and Linux and uses only GIT commands under the hood.

4. Installing an IDE

In order to develop you need to write text files. You can do it with any text editor but there IDEs that have a lot of nice features.

The one I like the most is Domain LogoSublime Text 3.

It is also important to install extensions for your IDE that can help you. As an example you can use black with sublack for Sublime Text: Domain LogoBlack for code formatting

5. Create package with poetry

Then you need to create your project. The important part is that you use some kind of virtual environment / package control like:

I find that Poetry is the easiest and the one that has more useful features. You can read more about it here: Domain LogoPoetry package manager

6. Pre-commit

Domain LogoGit Hooks are a good way to automate some tasks. There are multiple way of using them. What I suggest is that you use pre-commit: Domain LogoUsing Pre-commit to automate tasks

Pre-commit can be used for any language even though is developed with python.

My bare minimum for pre-commit with python is to add:

  • black
  • flake8

7. CI Integration

Continuous Integration (CI) allows to automate tasks such as testing and deploying. If you don’t know what it is you can read it Domain LogoContinuous integration.

There are a lot of CI providers, the more famous are:

8. Deploying

Finally you might want to deploy your code.

For an app my favorite is Domain LogoHeroku. It has free options and is really easy to set up.

For static webpages you should use Domain LogoNetlify. They are the ones hosting this webpage.

Finally for other stuff I usually use Domain LogoAWS.