✨ A comprehensive collection of Python notebooks, documents, and datasets from my Semester IV coursework. Featuring Jupyter notebooks, Excel files, CSV datasets, and documentation covering data science and Python programming concepts.
| Type | Description | File Format |
|---|---|---|
| Jupyter Notebooks | Interactive Python code with explanations | .ipynb |
| Datasets | Practice data for analysis | .csv, .xlsx |
| Documentation | Notes and explanations | .docx, .md |
| Visualizations | Charts and graphs output | .png, .jpg |
| Class | Topics Covered | Key Libraries/Tools |
|---|---|---|
| Class 01 | Python Fundamentals & Setup | Python 3.8+, Jupyter |
| Class 02-05 | Datatype & Conditional statement | math |
- Python Distribution: Anaconda
- IDE: Jupyter Notebook (via Anaconda Navigator)
- Package Manager: conda/pip
# Clone this repository
git clone https://github.com/Shreyit/Sem-IV-Python.git
# Open in Jupyter Notebook
# 1. Launch Anaconda Navigator
# 2. Open Jupyter Notebook
# 3. Navigate to cloned repository
# 4. Open any .ipynb fileShreyit
- GitHub: @Shreyit