TL;DR: Get started with Docker in 17 minutes
Actual story:
- Me: wow, cool repo! so impress, much fancy.
- Me: clone repo
- Me: run repo
- Computer:
MissingRequirementError: Can't import 'OpenSSL' which is part of 'pyopenssl>=0.14' - Me (2 hours later): stackoverflow + 30 open tabs
- Me (2 days later): uninstalled python2 and python3 on my computer (true story)
- Me (3 days later): f*** this repo
The same can happen at work. After a few days/weeks of building something and installing various project-level and OS-level dependencies to get things to work, it can be extremely painful (if not impossible) to recall the steps that someone (maybe your colleague / your manager) needs to run to see your awesome work. If you've been in this situation before, you know that this is a waste of time.
It's much better to reduce entropy and start any project right by ensuring that whatever works on your machine will work on another machine (e.g. your colleague's laptop or the machines that you're deploying your software onto). With Docker, you can ensure that in a few steps.
Docker allows us to manage the following dependencies in a single place:
- OS dependencies (e.g.
gcc,curl) - Python runtime version (e.g. Python 3.8)
- CLI tools dependencies
- Project-level dependencies (e.g.
pandas,numpy)
Sample template project: https://github.com/davified/docker-python-template
- Configuring IntelliSense and autocomplete in VS Code
- How to set up auto-formatting
- How to reduce errors and code smells with a linter
(Work in progress - Tutorial in written form)
(Work in progress)