Welcome to the Python Learning Repository, a well-organized and beginner-friendly resource to master Python programming. This repository covers core concepts and practical examples across various domains like data analysis, automation, and machine learning foundations.
- Variables & Data Types
- Operators & Expressions
- Conditional Statements
- Loops (
for,while) - Functions & Modules
- Lists, Tuples, Sets, Dictionaries
- Classes & Objects
- Constructors (
__init__) - Inheritance & Polymorphism
- Encapsulation & Abstraction
- Method Overriding
- Read/Write Operations
- Handling CSV & Text Files
- Exception Handling (
try-except) - Using Context Managers (
withstatement)
- Arrays & Indexing
- Broadcasting
- Vectorized Operations
- DataFrames & Series
- Data Cleaning
- Grouping, Merging, Aggregation
- Plotting (Line, Bar, Pie, Scatter)
- Customizing Charts
- Heatmaps & Advanced Visuals
- Data Preprocessing
- Model Training & Evaluation
- Intro to Regression & Classification
- Using
requests&BeautifulSoup - HTML Parsing
- Extracting Web Data
- Saving to CSV/Excel
python/ ├── basics/ ├── oops/ ├── file_handling/ ├── numpy/ ├── pandas/ ├── matplotlib_seaborn/ ├── scikit_learn/ ├── web_scraping/ └── README.md
- Clone the repository
git clone https://github.com/data-driven-career-with-vk/python.git cd python - Run any topic script Open a .py file in your Python IDE or terminal and execute it to learn by doing.
🤝 Contributing Contributions, suggestions, and improvements are welcome. Fork the repository, make changes, and open a pull request.
📌 License This repository is licensed under the MIT License.
🌟 Support If this project helps you, please give it a ⭐ on GitHub and share it with others.
Happy Coding! 🚀
Let me know if you'd like:
- Customization with your GitHub username or project name
- A sample LICENSE file
- To generate this as a downloadable
.mdfile