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Python for Software Engineers

Intermediate

The production-Python gap-filler. Type hints + Pyright; dataclasses, Pydantic, NamedTuples; project structure with pyproject.toml and uv; asyncio and the event loop; threading vs multiprocessing vs asyncio (GIL); generators and itertools; decorators and context managers; profiling and optimization; pytest with fixtures and mocking; structured logging and 12-factor config; error handling patterns; Pythonic design patterns. Six hands-on builds: CLI tool, async API client library, perf data processor, type retrofit, FastAPI service, profile-and-optimize. For engineers who know Python basics and need the production layer.

Python for Software Engineers

Duration

4 weeks

Content

4 modules, 32 lessons

Students

2

Total Time

~13 hours

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Course Curriculum

1

Modern Python FoundationsFREE PREVIEW

Type hints and gradual typing with Pyright/mypy; data classes, Pydantic, NamedTuples; project structure (src layout, pyproject.toml); dependency management with uv, Poetry, and pip-tools.

90 min8 lessons

Type Hints & Static Checking

Recap — Pyright/mypy Patterns and Gradual Typing

Data Classes & Pydantic

Recap — Choosing dataclass vs Pydantic vs NamedTuple

Project Structure & Packaging

Recap — pyproject.toml, src Layout, and Modern Packaging

Virtual Envs & Dependency Management

Recap — uv, Poetry, pip-tools Compared

2

Async, Concurrency, PerformanceFREE PREVIEW

asyncio and the event loop; threading vs multiprocessing vs asyncio (and the GIL); generators, iterators, itertools; context managers and decorators; profiling with cProfile, py-spy, memray.

110 min10 lessons

Async/Await — How the Event Loop Works

Recap — When asyncio Helps and When It Doesn't

Threading vs Multiprocessing vs Asyncio

Recap — The GIL and Picking the Right Primitive

Generators, Iterators & itertools

Recap — Memory-Efficient Pipelines and Lazy Evaluation

Context Managers & Decorators

Recap — Building Reusable, Composable Abstractions

Profiling & Optimization

Recap — Profile First, Optimize After

3

Production PythonFREE PREVIEW

pytest with fixtures, mocking, parametrization, coverage; structured logging and 12-factor configuration; exception hierarchies, retry patterns, Result types; Pythonic design patterns vs Gang-of-Four.

85 min8 lessons

Testing with pytest

Recap — Fixtures, Mocking, Coverage, Test Organization

Logging & Configuration

Recap — Structured Logging and 12-Factor Config

Error Handling Patterns

Recap — Exceptions, Retries, Result Types

Design Patterns in Python

Recap — Pythonic Patterns vs Gang-of-Four

4

Build Real ThingsFREE PREVIEW

Six hands-on builds: a CLI tool with Click/Typer + tests + packaging + publish; an async API client library; a performance data processor; type retrofit of an untyped codebase; a small FastAPI service; profile-and-optimize a slow program.

480 min6 lessons

Build 1 — CLI Tool (Typer + tests + package + publish)

Build 2 — Async API Client Library

Build 3 — High-Performance Data Processor

Build 4 — Type Retrofit (Add Types to Untyped Code)

Build 5 — FastAPI Service (Production-Ready)

Build 6 — Profile and Optimize a Slow Program

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