Data Visualization & Analytics Unit 4 resources
Getting started with the notebooks
- Clone the repository to your local machine
git clone https://github.com/realKarthikNair/sem6-dvda-unit4-resources/
- Create a virtual environment and activate it (optional but recommended)
pip install virtualenv
virtualenv .venv
# On Windows
.venv\Scripts\activate
# On Linux or Unix or MacOS
source .venv/bin/activate
- Install the required packages
pip install -r requirements.txt
- Start the Jupyter notebook server
- You can now use the notebooks!
.
├── A. tkinter_introduction.ipynb
├── B. lambda_function_examples.ipynb
├── C. database_connectivity.ipynb
├── D. student_marks_db_system.ipynb
├── PDF exports
│ ├── A. tkinter_introduction.pdf
│ ├── B. lambda_function_examples.pdf
│ ├── C. database_connectivity.pdf
│ └── D. student_marks_db_system.pdf
├── datasets
│ ├── new2.csv
│ └── olympics.csv
├── DB
│ └── student.db
├── images
│ ├── dvda-sem4-syllabus.png
│ └── img.png
├── pyvenv.cfg
├── README.md
├── requirements.txt
├── .gitignore
└── student_data
├── creds.csv
├── marks.csv
└── updated.csv
6 directories, 20 files
