This repository is dedicated to learning Python for Data Analytics through structured assignments, lecture notes, and coding exercises. It is ideal for beginners and developers (like those from a MERN background) who are transitioning into the data analytics field.
Python_DA/
├── Assignments/
│ ├── Questions/ # Contains raw assignment questions
│ └── Solutions/ # Jupyter Notebooks with solutions
│ ├── Assignment Solution files
├── Jason Classes/ # Lecture notebooks from JASON classes
│ ├── Lecture files
├── README.md # Project documentation
✅ Note:
The.ipynb_checkpointsfolders were created by Jupyter Notebook but are not relevant in the current VS Code environment and can be ignored or deleted.
- Python syntax and coding patterns
- Arithmetic, comparison, and logical operations
- Conditionals and loops
- Object-Oriented Programming (OOP)
- Foundational data analytics logic
- Python 3.x installed
- VS Code or Jupyter Notebook
- Basic programming knowledge (preferably JavaScript for smoother transition)
-
Clone the Repository
git clone https://github.com/mjshubham21/Python_DA.git cd Python_DA
-
Open in VS Code or JupyterLab
-
Navigate through:
-
Assignments/Questions/for the questions -
Assignments/Solutions/for solved notebooks -
Jason Classes/for Python class notebooks
-
-
Run any
.ipynbfile to begin exploring!
This project was created by Shubham Pawar to document and reinforce Python skills while transitioning from full-stack development to data analytics. The aim is to build a strong Python foundation that supports deeper learning in analytics, data processing, and visualization.
- Shubham Pawar — Creator & Maintainer
Feel free to open issues or submit pull requests if you'd like to contribute or suggest improvements. This repository is open to learners, collaborators, and curious minds.
Happy Learning! 🚀