Kishankumar1328 / pandas-website

# Pandas Tutorial with Streamlit

This tutorial provides an overview of various Pandas functionalities using Streamlit for visualization. It covers topics such as data manipulation, exploration, indexing, cleaning, and more.

## How to Use

1. Clone this repository:
   
   ```bash
   git clone https://github.com/your_username/your_repository.git
   cd your_repository

2. Install dependencies:

   pip install streamlit pandas

3. Run the Streamlit app:

   streamlit run app.py

4. Open the app in your browser.

Explore the App

Click the button below to explore the interactive tutorial:

Table of Contents

1. Pandas
2. Importing Pandas & IDE's
3. Reading and Writing Data
4. Exploring Data
5. Indexing and Selection
6. Data Cleaning or Handling Missing Data
7. Data Manipulation
8. Data Aggregation
9. Categorical Data Handling
10. Time Series Analysis
11. Performance Optimization
12. Advanced Topics

About

Explore more Pandas functionalities in the official documentation.

Replace `your_username` and `your_repository` with your actual GitHub username and repository name. When users click the "Open in Streamlit" badge, it will take them to your Streamlit app where they can interact with the content.