Python (Professional)

Lessons

1. 1

   Python Environment Setup

   Free

   Set up a professional Python environment with pyenv, venv, and pyproject.toml.

   Beginner·35 min
2. 2

   Python Fundamentals (Modern Python 3.12+)

   Use modern Python syntax: type hints, f-strings, match statements, walrus, keyword-only args.

   Beginner·45 min
3. 3

   Object-Oriented Python

   Write Python classes with dunder methods, properties, and dataclasses.

   Beginner·50 min
4. 4

   Pythonic Code

   Use list comprehensions, generators, context managers, decorators, type hints idiomatically.

   Intermediate·45 min
5. 5

   Error Handling and Logging

   Use exceptions, custom exceptions, and the logging module instead of print.

   Intermediate·40 min
6. 6

   File I/O and Working with Data

   Read/write files, CSV, JSON; use pathlib.

   Intermediate·40 min
7. 7

   Python Standard Library Deep Dive

   Reach for the standard library before adding dependencies.

   Intermediate·45 min
8. 8

   Testing in Python with pytest

   Write unit tests + fixtures + mocks with pytest; measure coverage.

   Intermediate·50 min
9. 9

   Python for Scripting and Automation

   Write CLI tools with Click; call APIs with httpx; automate real tasks.

   Intermediate·45 min
10. 10

    Python for Data (pandas + NumPy)

    Use pandas + NumPy fundamentals — enough to be dangerous and know when to switch to a data-science track.

    Intermediate·55 min
11. 11

    Async Python (asyncio)

    Use asyncio and async/await; know when async beats threads vs multiprocessing.

    Advanced·50 min
12. 12

    Packaging and Distribution

    Structure a Python project + publish to PyPI.

    Intermediate·40 min
13. 13

    Regular Expressions

    Read and write regex (classes, quantifiers, anchors, groups, lookarounds) for validation, parsing, and log analysis, and avoid catastrophic backtracking (ReDoS).

    Intermediate·45 min
14. 14

    Python for Backend: FastAPI

    Build a typed async API with FastAPI + Pydantic, talk to Postgres via SQLAlchemy, migrate with Alembic, run in Docker.

    Intermediate·55 min
15. 15

    Passion Project: Python CLI Tool

    Build, package, and publish a useful Python CLI tool to PyPI + GitHub.

    Advanced·180 min
16. 16

    Python Job Readiness

    Translate Python skills into resume bullets + interview answers for backend / data / scripting roles.

    Beginner·30 min