https://github.com/pavanreddy565/infosys_python_for_datascience
Data Science Course Tasks Repository This repository contains tasks and projects completed during the Data Science course from Infosys Springboard. It includes setup instructions for running Jupyter Notebook sessions in a virtual environment.
https://github.com/pavanreddy565/infosys_python_for_datascience
matplotlib numpy pandas
Last synced: about 2 months ago
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Data Science Course Tasks Repository This repository contains tasks and projects completed during the Data Science course from Infosys Springboard. It includes setup instructions for running Jupyter Notebook sessions in a virtual environment.
- Host: GitHub
- URL: https://github.com/pavanreddy565/infosys_python_for_datascience
- Owner: pavanreddy565
- Created: 2024-07-07T13:11:49.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-07-07T13:25:52.000Z (almost 2 years ago)
- Last Synced: 2025-03-15T09:57:39.960Z (over 1 year ago)
- Topics: matplotlib, numpy, pandas
- Language: Jupyter Notebook
- Homepage: https://infyspringboard.onwingspan.com/web/en/app/toc/lex_auth_01333063698060902494_shared/overview
- Size: 108 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Tasks Repository for Data Science Course
This repository contains tasks assigned during the Data Science course from Infosys Springboard. Each folder corresponds to a specific task or project.
## Setup Instructions
To set up the project and run Jupyter Notebook sessions on your system, follow these steps:
1. **Install Jupyter Notebook:**
```
pip install jupyter notebook
```
2. **Create a Virtual Environment:**
```
python -m venv Infosys_python_for_DataScience
```
3. **Activate the Virtual Environment:**
- On Windows:
```
cd Infosys_python_for_DataScience
Scripts\activate
```
- On macOS/Linux:
```
source Infosys_python_for_DataScience/bin/activate
```
4. **Start Jupyter Lab:**
```
jupyter lab
```
This will launch Jupyter Lab in your default web browser. You can now navigate to the task folders and open the corresponding notebooks to explore the assignments and projects.