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https://github.com/realkarthiknair/sem6-dvda-unit4-resources
resources from my lectures for BCA/sem6/dvda/unit4
https://github.com/realkarthiknair/sem6-dvda-unit4-resources
jupyter-notebook mysql python python3 resources tkinter university
Last synced: 15 days ago
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resources from my lectures for BCA/sem6/dvda/unit4
- Host: GitHub
- URL: https://github.com/realkarthiknair/sem6-dvda-unit4-resources
- Owner: realKarthikNair
- Created: 2024-03-06T03:21:45.000Z (9 months ago)
- Default Branch: master
- Last Pushed: 2024-06-17T14:20:27.000Z (5 months ago)
- Last Synced: 2024-10-11T13:38:46.553Z (about 1 month ago)
- Topics: jupyter-notebook, mysql, python, python3, resources, tkinter, university
- Language: Jupyter Notebook
- Homepage: https://realkarthiknair.github.io/dvda-unit4
- Size: 2.11 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Data Visualization & Analytics Unit 4 resources
### Syllabus
![syllabus](images/dvda-sem4-syllabus.png)
### Getting started with the notebooks
1. Clone the repository to your local machine
```bash
git clone https://github.com/realKarthikNair/sem6-dvda-unit4-resources/
```2. Create a virtual environment and activate it (optional but recommended)
```bash
pip install virtualenv
virtualenv .venv
# On Windows
.venv\Scripts\activate
# On Linux or Unix or MacOS
source .venv/bin/activate
```
3. Install the required packages```bash
pip install -r requirements.txt
```4. Start the Jupyter notebook server
```bash
jupyter notebook
```5. You can now use the notebooks!
### repo tree
```
.
├── 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.csv6 directories, 20 files
```