Python Developer 2

A second course in Python Development

Author

Karsten Naert

Published

November 15, 2025

Welcome to Python Developer 2

These notes cover four modules from the course Python Developer 2, taught at Syntra. The intented audience has taken a first introductory course in programming with Python and is ready for a deep dive into the more advanced concepts.

Tentative course plan

Course Overview

🐍 Advanced Python

13 Lessons - Deep dive into Python’s syntax, features, and capabilities

From control structures and object-oriented programming to the scientific stack and type systems:

Python fundamentals and data structures
Object-oriented programming (OOP) in depth
Functions and the standard library
Scientific computing with NumPy, Pandas, and Matplotlib
Modules, packages, and the import system
Type systems and linters

🏗️ Architecture

7 Lessons - Advanced architectural patterns and design principles

Focus on making multiple classes work together harmoniously using design patterns and Python’s built-in features:

Iterators, generators, and decorators
Python fundamentals and internals
Package distribution and management
Design patterns (Gang of Four and Python-specific)
Logging and context managers
Advanced OOP concepts

🌐 REST API

5 Lessons - Building robust client-server architectures

Learn to build complex architectures with multiple threads and processes:

Processes vs. threads
Multiprocessing and multithreading
Inter-process communication (IPC)
Socket programming and TCP/IP
REST APIs with Flask (WSGI) and FastAPI (ASGI)
Asynchronous programming

🔧 Practical Python

7 Lessons - Real-world Python development scenarios

“A day in the life of a Python Developer” - practical topics and tools:

Package development and modification
Testing with pytest
Python on WebAssembly (WASM)
C extensions for Python
Machine learning applications
Conference talks and community learning
Exploring other programming languages

Making the most out of these lectures

Making the most out of these lectures will require you to work alongside of them:

Try al the snippets of code yourself. Try to modify them here and there to make sure you understand everything.
Do the exercises.

Prerequisites

To follow along with the course you will need a few things installed:

A Python environment

There are currently two methods I recommend for installing Python:

Method one is via the conda ecosystem. Here, for license reasons, it is strongly advised that you use miniforge or pixi.
Method two is via uv. This is my current recommendation for Python developers. Follow the installation instructions on Astral’s website.

git

We will be sharing a repository on github throughout the course to share our work with other students. Once you have been given access you should clone the repository

Visual Studio Code

My editor of choice for this clas will be Visual Studio Code. Here are the extensions I have installed:

Python by Microsoft (Extension pack containing Pylance and Python debugger)
Ruff by Astral Software (Linter)
Jupyter by Microsoft (Extension pack)
Even Better TOML by tamasfe (syntax highlighting for files such as pyproject.toml)
Error Lens by Alexander (see errors inline)
Git Graph by mhutchie¹

Copyright notice

No part of these notes may be reproduced, stored, or transmitted in any form or by any means without the prior written permission of the author.

Footnotes

Still the best Git integration in VS Code that I am aware of. Unfortunately the maintainer seems to have quit and the license doesn’t permit others to take over the work. An interesting alternative is the GitLG project by phil294 but it just doesnt’t look as good.↩︎

--- title: "Python Developer 2" subtitle: "A second course in Python Development" author: "Karsten Naert" date: today toc: true --- # Welcome to Python Developer 2 These notes cover four modules from the course Python Developer 2, taught at Syntra. The intented audience has taken a first introductory course in programming with Python and is ready for a deep dive into the more advanced concepts. [Tentative course plan](2025.html) ## Course Overview ### 🐍 [Advanced Python](advanced-python/index.qmd) {.section-link} **13 Lessons** - Deep dive into Python's syntax, features, and capabilities From control structures and object-oriented programming to the scientific stack and type systems: - Python fundamentals and data structures - Object-oriented programming (OOP) in depth - Functions and the standard library - Scientific computing with NumPy, Pandas, and Matplotlib - Modules, packages, and the import system - Type systems and linters ### 🏗️ [Architecture](architecture/index.qmd) {.section-link} **7 Lessons** - Advanced architectural patterns and design principles Focus on making multiple classes work together harmoniously using design patterns and Python's built-in features: - Iterators, generators, and decorators - Python fundamentals and internals - Package distribution and management - Design patterns (Gang of Four and Python-specific) - Logging and context managers - Advanced OOP concepts ### 🌐 [REST API](rest-api/index.qmd) {.section-link} **5 Lessons** - Building robust client-server architectures Learn to build complex architectures with multiple threads and processes: - Processes vs. threads - Multiprocessing and multithreading - Inter-process communication (IPC) - Socket programming and TCP/IP - REST APIs with Flask (WSGI) and FastAPI (ASGI) - Asynchronous programming ### 🔧 [Practical Python](practical-python/index.qmd) {.section-link} **7 Lessons** - Real-world Python development scenarios "A day in the life of a Python Developer" - practical topics and tools: - Package development and modification - Testing with pytest - Python on WebAssembly (WASM) - C extensions for Python - Machine learning applications - Conference talks and community learning - Exploring other programming languages ### Making the most out of these lectures Making the most out of these lectures will require you to work alongside of them: - Try al the snippets of code yourself. Try to modify them here and there to make sure you understand everything. - Do the exercises. ## Prerequisites To follow along with the course you will need a few things installed: ### A Python environment There are currently two methods I recommend for installing Python: - Method one is via the conda ecosystem. Here, for license reasons, it is strongly advised that you use [miniforge](https://github.com/conda-forge/miniforge) or [pixi](https://pixi.sh/latest/). - Method two is via `uv`. This is my current recommendation for Python developers. Follow the installation instructions on [Astral's website](https://docs.astral.sh/uv/getting-started/installation/). ### git We will be sharing a repository on github throughout the course to share our work with other students. Once you have been given access you should clone the repository ### Visual Studio Code My editor of choice for this clas will be Visual Studio Code. Here are the extensions I have installed: - Python by Microsoft (Extension pack containing Pylance and Python debugger) - Ruff by Astral Software (Linter) - Jupyter by Microsoft (Extension pack) - Even Better TOML by tamasfe (syntax highlighting for files such as pyproject.toml) - Error Lens by Alexander (see errors inline) - Git Graph by mhutchie^[Still the best Git integration in VS Code that I am aware of. Unfortunately the maintainer seems to have quit and the license doesn't permit others to take over the work. An interesting alternative is the [GitLG project](https://marketplace.visualstudio.com/items?itemName=phil294.git-log--graph) by phil294 but it just doesnt't look as good.] ## Copyright notice No part of these notes may be reproduced, stored, or transmitted in any form or by any means without the prior written permission of the author.