Python Project Essentials

Overview

This course shows you how to set up, use and automate a long list of Python tools that are useful for any project, but no one has time to figure out the details.

If you ever wanted to learn how to change the default Python version, set up remote testing with GitHub Action, use a debugger in VSCode, or import currently edited code into Jupyter, you are at the best place.

You will also get set of default configurations that you can drop into your own project.

My name is Laszlo, and I train Data Scientists to write better code. I am delighted to present this course at the MLOps Community Learning platform.

Contents:

How to set up VSCode
How to install different python versions
Package management with Poetry
Automated code formatting and linting in VSCode with Black and Ruff
Set up Pre-commit hooks and GitHub Actions
Using code written in VSCode in Jupyter notebooks
Create command line interfaces with minimum effort
How to use debuggers in VSCode and in Jupyter
Using GitHub Secrets

Keywords: VSCode, Pyenv, Poetry, Black, Ruff, Pytest, Unittest, Pre-commit, GitHub Actions, Jupyter, Autoimport, CLI, PDB, GitHub Secrets

Curriculum

3 Sections
9 Lessons
Lifetime

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Instructor

Laszlo Sragner

Hi, I am Laszlo. I run Hypergolic, an ML consultancy in London. Our speciality is removing technical debt in AI projects and bringing new AI products to production as fast as possible.

One of our services is training Data Scientists to write better code. This is often thought of as an advanced topic, but this is far from the truth. In reality, it is a craft that is easy to learn and then exploit its benefits multiple times.

My mission is to teach this knowledge to as many Data Scientists as possible, and this course is the first step towards that goal.