Artikel & Sumber Daya #

Halaman ini mengumpulkan sumber belajar Python terbaik yang terkurasi — artikel mendalam, dokumentasi resmi, dan video YouTube yang benar-benar berbeda satu sama lain. Semua sumber dipilih berdasarkan kualitas konten dan reputasi pembuatnya, bukan sekadar popularitas.

Artikel Bacaan #

Dasar #

Artikel-artikel ini cocok untuk kamu yang baru memulai Python atau ingin mempertegas fondasi.

1. Python for Beginners — Real Python
2. Variables and Types — LearnPython.org
3. Control Flow in Python — Real Python
4. Defining Your Own Python Function — Real Python
5. Python Lists and Tuples — Real Python
6. Dictionaries in Python — Real Python
7. Reading and Writing Files — Real Python
8. Object-Oriented Programming in Python — Real Python
9. A Primer on Python Decorators — Real Python
10. Python Modules and Packages — Real Python
11. Working with JSON in Python — Real Python
12. Python Exceptions: An Introduction — Real Python
13. Regular Expressions in Python — Real Python
14. List Comprehensions in Python — Real Python
15. Python Virtual Environments: A Primer — Real Python
16. Python’s Built-in Functions — Real Python
17. Dates and Times in Python — Real Python
18. Python String Formatting Best Practices — Real Python
19. Working with CSV Files — Real Python
20. Understanding Python Import System — Real Python

Menengah #

Artikel untuk developer yang sudah familiar dengan sintaks dasar dan ingin mendalami konsep-konsep Python yang lebih dalam.

1. Iterators and Generators in Python — Real Python
2. Python Lambda Functions — Real Python
3. The Python collections Module — Real Python
4. Python’s itertools Module — Real Python
5. API Integration in Python — Real Python
6. The Python pathlib Module — Real Python
7. Context Managers and the with Statement — Real Python
8. Web Scraping with BeautifulSoup — Real Python
9. What Is the Python GIL? — Real Python
10. Async IO in Python: A Complete Walkthrough — Real Python
11. Speed Up Your Python Program With Concurrency — Real Python
12. Effective Python Testing With Pytest — Real Python
13. Logging in Python — Real Python
14. Python’s unittest.mock Library — Real Python
15. The Python functools Module — Real Python
16. Python Requests Library — Real Python
17. FastAPI Python Web APIs — Real Python
18. Image Processing with Pillow — Real Python
19. Python’s dataclasses Module — Real Python
20. Type Checking in Python — Real Python

Lanjutan #

Artikel untuk developer berpengalaman yang ingin memahami Python secara lebih mendalam — internals, performa, pola desain, dan ekosistem.

1. Python Memory Management — Real Python
2. Metaclasses in Python — Real Python
3. Python Design Patterns — Real Python
4. Working with Large Datasets in Pandas — Real Python
5. Data Visualization with Matplotlib — Real Python
6. Machine Learning with scikit-learn — Real Python
7. Introduction to Docker for Python Developers — Real Python
8. Get Started with Django — Real Python
9. Flask by Example — Real Python
10. Asyncio Event Loop — Real Python
11. Profiling and Optimizing Python Code — Real Python
12. SQLAlchemy ORM Tutorial — Real Python
13. Natural Language Processing with spaCy — Real Python
14. Python’s Descriptor Protocol — Real Python
15. Python’s Abstract Base Classes — Real Python
16. Extending Python with C — Real Python
17. Python Concurrency with Futures — Real Python
18. Building a Python Package — Real Python
19. Python and REST APIs — Real Python
20. Deploying Django with Heroku — Real Python

Dokumentasi Resmi #

Python dan Standar Library #

Web Frameworks #

Database dan ORM #

Message Broker dan Queue #

Data Science dan Machine Learning #

Testing #

Web Scraping #

DevOps dan Deployment #

Cloud SDK #

Video YouTube #

Dasar #

Video-video ini cocok untuk pemula — masing-masing dari channel berbeda dengan pendekatan yang berbeda.

1. Python for Beginners - Learn Python in 1 Hour — Programming with Mosh
2. Learn Python - Full Course for Beginners — freeCodeCamp.org
3. Python Tutorial for Absolute Beginners — CS Dojo
4. Python for Everybody (full course) — freeCodeCamp.org
5. Python Crash Course Tutorial — Traversy Media
6. Python Tutorial - Python Full Course for Beginners — Programming with Mosh
7. Python Tutorial for Beginners (with mini-projects) — freeCodeCamp.org
8. Python Basics - Socratica — Socratica
9. 100 Days of Code: Python Bootcamp — Dr. Angela Yu (Udemy preview)
10. Automate the Boring Stuff with Python — Al Sweigart

Menengah #

Video untuk developer yang ingin memperdalam pemahaman Python — OOP, async, testing, dan ekosistem library.

1. Python OOP Tutorial (6-part series) — Corey Schafer
2. Python Decorators — Corey Schafer
3. Python Generators — Corey Schafer
4. Python’s unittest Framework — Corey Schafer
5. Pytest Tutorial — Tech with Tim
6. Python Async IO (asyncio) — Tech with Tim
7. Python Context Managers — Corey Schafer
8. Python’s functools Module — Corey Schafer
9. REST APIs with Python and Flask — Tech with Tim
10. Python Requests Library Tutorial — Corey Schafer
11. Web Scraping with Beautiful Soup and Requests — Corey Schafer
12. Python Logging — Corey Schafer
13. Python Threading Tutorial — Corey Schafer
14. Python Multiprocessing Tutorial — Corey Schafer
15. Type Hints in Python — Tech with Tim

Lanjutan #

Video untuk developer berpengalaman — arsitektur, performa, ML, dan deployment.

1. FastAPI Tutorial (full) — freeCodeCamp.org
2. Django Tutorial for Beginners (full) — Programming with Mosh
3. Flask Tutorial (full) — freeCodeCamp.org
4. SQLAlchemy Tutorial — Tech with Tim
5. Docker and Python — TechWorld with Nana
6. Kubernetes for Beginners — TechWorld with Nana
7. Machine Learning with Python — Programming with Mosh
8. Pandas Tutorial (full) — Keith Galli
9. NumPy Tutorial — freeCodeCamp.org
10. Matplotlib Tutorial — Corey Schafer
11. Data Science Full Course — freeCodeCamp.org
12. Advanced Python (metaclasses, decorators, generators) — NeuralNine
13. Design Patterns in Python — ArjanCodes
14. Clean Code in Python — ArjanCodes
15. Python Performance Tips — NeuralNine

Komunitas dan Forum #

Tempat bertanya, berbagi pengalaman, dan mengikuti perkembangan ekosistem Python.

Alat dan Environment #

Editor dan IDE #

Package Management #

Kualitas Kode #