11 parts · 16 chapters

Python, with Django

Python is the most widely taught language in the world and the default for data and AI work; with Django it is also one of the most productive ways to build a secure web backend. On this machine, four CPU-bound tasks took 455 ms on four threads and 227 ms on four processes: the GIL in one sentence.

Eleven parts in the shared language-course shape: basics; the type system and type hints; memory and CPython internals; concurrency (threads, processes, asyncio, free-threading); idioms; tooling and testing; Django end to end (with DRF and FastAPI alongside); Django internals; performance and profiling; what Python is paired with in production; and the ledger API capstone.

Start reading · Part 0 Present as slides
basics · the type system · memory and CPython · concurrency · idioms · tooling and testing · Django end to end · Django internals · performance · in production · capstonebeginner → expert · engineers adding Python and Django
the languageDynamic typing, data model, comprehensions, generators, decorators.
CPythonBytecode, the object model, reference counting, the GIL and free-threading.
concurrencyasyncio, threads for IO, processes for CPU, measured.
DjangoORM, admin, middleware, request cycle, DRF, Celery, async views.
FastAPIType-hint driven APIs on ASGI, and when to choose it.
productionGunicorn/Uvicorn, Nginx, Celery + Redis, PgBouncer, Sentry.
00

Basics

Names, objects and the data model · Generators, decorators and context managers
2 ch · ~12 min01

The Type System and Type Hints

Gradual typing
1 ch · ~8 min02

Memory and CPython Internals

Bytecode, refcounts and the GIL · Memory in practice
2 ch · ~12 min03

Concurrency

Threads, processes and the GIL, measured · asyncio
2 ch · ~12 min04

Idioms

Pythonic code
1 ch · ~8 min05

Tooling and Testing

Tools and tests
1 ch · ~8 min06

Django End to End

Models, migrations and the admin · DRF, atomic transfers, Celery and FastAPI
2 ch · ~12 min07

Django Internals

QuerySets underneath · Signals, sessions and async
2 ch · ~12 min08

Performance and Profiling

Where Python services spend time
1 ch · ~8 min09

In Production: What Python Is Paired With

The stack around a Django service
1 ch · ~8 min10

Capstone: The Ledger API in Python

The build
1 ch · ~8 min
Language courses share one shapeSame eleven parts and capstone as Go, Rust, Rails and Java. ORM Internals covers the Django ORM against others; Concurrency (course 35) covers asyncio alongside other runtimes.