A comprehensive Python learning repository by 022UGDW213 (Time Loops)
This repository is a structured Python programming course covering fundamentals through advanced topics including AI/ML integration.
| Section | Topic | Status |
|---|---|---|
| 01 | Basics — Variables, data types, operators | Complete |
| 02 | Strings — Manipulation, formatting, methods | Complete |
| 03 | Conditionals — if/elif/else, boolean logic | Complete |
| 04 | Lists — Arrays, slicing, comprehensions | Complete |
| 05 | Loops — for, while, iteration patterns | Complete |
| 06 | Strings & Lists — Combined operations | Complete |
| 07 | Files — I/O, reading, writing, CSV/JSON | Complete |
| 09 | Functions — Def, args, lambda, decorators | Complete |
| 10 | Dictionaries — Key-value, nested, methods | Complete |
| 11 | API — REST, requests, JSON, authentication | Complete |
| 14 | Exceptions — Try/except, custom errors | Complete |
| 15 | Intermediate — OOP, modules, packages | Complete |
start-here.md— Getting started guideinstalling_pip.md— Package manager setupcontacts.json— Sample data for exercisesknowledge_share/— Reference materialsplaytime/— Experimental code playground
- Python 3.11+
- AI/ML: TensorFlow, PyTorch, scikit-learn, HuggingFace
- Data: NumPy, Pandas, Matplotlib
- Web: Flask, FastAPI, Requests
- Tools: Jupyter, VS Code, Git
# Clone
git clone https://github.com/022UGDW213/Python-Programing.git
cd Python-Programing
# Start with basics
cd section_01_(basics)
python3 main.py
# Install dependencies
pip install -r requirements.txtThis repository integrates with the iBot Synthetic Intelligence platform:
- 136+ AI skills available
- TensorFlow 2.16 + PyTorch 2.2
- 14 Ollama local models (4 vision-capable)
- HuggingFace Transformers
- scikit-learn for classical ML
- GitHub: @022UGDW213
- Website: o22ugdw213.network
- YouTube: @O22UGDW213
MIT License — see LICENSE