https://github.com/agrawalchaitany/nptel_python_with_datascience
Nptel_Python_with_DataScience
https://github.com/agrawalchaitany/nptel_python_with_datascience
jupyter-notebook nptel nptel-solutions nptel-swayam python spyder
Last synced: 3 months ago
JSON representation
Nptel_Python_with_DataScience
- Host: GitHub
- URL: https://github.com/agrawalchaitany/nptel_python_with_datascience
- Owner: agrawalchaitany
- Created: 2024-04-08T15:54:09.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-23T13:03:54.000Z (3 months ago)
- Last Synced: 2025-02-23T14:19:22.624Z (3 months ago)
- Topics: jupyter-notebook, nptel, nptel-solutions, nptel-swayam, python, spyder
- Language: Python
- Homepage:
- Size: 45.6 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# NPTEL Python with Data Science
This repository contains lecture notes, required datasets, code files, and assignment solutions for the **NPTEL Python with Data Science** course.
## 📌 Course Information
- **Course Name:** Python with Data Science
- **Platform:** NPTEL / Swayam
- **Course Link:** [NPTEL Course Page](https://onlinecourses.nptel.ac.in/noc24_cs54/preview)
- **Official Site:** [Swayam](https://swayam.gov.in/)
## 📂 Repository Contents
- 📖 **Lecture Notes** – Summarized notes from the course lectures.
- 📊 **Datasets** – All datasets required for hands-on exercises and assignments.
- 💻 **Code Files** – Python scripts and Jupyter notebooks covering course topics.
- ✅ **Assignment Solutions** – Answers and explanations for course assignments.
## 🚀 Getting Started
To use this repository:
1. Clone the repository:
```sh
git clone https://github.com/your-username/Nptel_Python_with_DataScience.git
```
2. Navigate to the repository:
```sh
cd Nptel_Python_with_DataScience
```
3. Open the Jupyter notebooks or Python scripts to explore the content.
## 📢 Contributions
Feel free to contribute by submitting pull requests, improving documentation, or adding relevant resources.
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📧 For any queries, reach out via GitHub discussions or issues.