pandas-tutorial-2026

> "AI is Good" > hereandnowai.com

Welcome to the Pandas Tutorial 2026 by HERE AND NOW AI. This repository contains a comprehensive set of Jupyter Notebooks and resources to master data analysis with Python and Pandas.

This tutorial covers essential Pandas concepts, from loading data to advanced grouping and aggregation. It's designed for data scientists, developers, and AI enthusiasts look to leverage the power of Python for data manipulation.

This tutorial is organized into themed notebooks:

• 1-loading-data.ipynb: Import data from various formats (CSV, Excel).
• 2-dataframes-and-series.ipynb: Core Pandas data structures.
• 3-indexes.ipynb: Setting and manipulating index values.
• 4-filtering.ipynb: Querying data with conditional logic.
• 5-updating-rows-and-columns.ipynb: Modifying existing dataframes.
• 6-add-remove-rows-and-columns.ipynb: Structuring your dataset.
• 7-sorting-data.ipynb: Organizing records efficiently.
• 8-grouping-and-aggregating.ipynb: Statistical analysis and data grouping.

1. Clone this repository.
2. Ensure you have Python 3.x installed.
3. Install dependencies:

   pip install pandas notebook

1. Launch Jupyter Notebook:

   jupyter notebook

At HERE AND NOW AI, we believe that AI is Good. We are dedicated to providing accessible, high-quality resources for the AI and data science community.

This project is licensed under the MIT License - see the LICENSE file for details.