Welcome to the Python for Data Science repository! This project is a comprehensive resource for learning Python and its essential libraries for data science. Whether you're a student, beginner, or aspiring data scientist, you'll find practical examples, well-organized notes, and hands-on code to guide your journey from Python basics to advanced data science topics.
- Python Basics: Variables, Data Types, Conditional Statements, Loops, Functions, Modules & Packages
- Data Structures: Lists, Tuples, Sets, Dictionaries, String Manipulations
- NumPy: Arrays, Operations, Broadcasting, Indexing, Slicing
- Pandas: Series, DataFrames, Data Cleaning, Aggregation, Grouping, Merging, Joining
- Data Visualization: Matplotlib, Seaborn, Plot Customization
- Practical Notebooks: Real-world examples and exercises
- Clone the repository
git clone https://github.com/SonaniAkshit/Python-for-Data-Science.git cd Python-for-Data-Science - Open in Jupyter Notebook or your favorite IDE
- Jupyter Notebook
- Google Colab
- VSCode with Python extension
Install the required libraries:
pip install numpy pandas matplotlib seaborn jupyterOr use Google Colab for a no-install experience.
- Beginner-friendly, well-structured content
- Real-world examples and exercises
- Easy-to-understand code with comments
- Covers all fundamental libraries
- Regular updates and improvements
Contributions are welcome! Feel free to fork the repo, open issues, or submit pull requests to improve the content.
Akshit Sonani
MCA Student | Python & Web Developer
sonaniakshit777@gmail.com
GitHub Profile
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🔥 Happy Coding! Let’s build something amazing together 🚀