Pandas

Pandas Workshop

Introduction to Data Analysis with Pandas in Python

Table of Contents

1. About The Workshop
2. Getting Started
   • Dependencies
   • Installation
3. Usage
4. Roadmap
5. License
6. Authors
7. Acknowledgements

About The Workshop

This workshop introduces participants to the power of data analysis using the Pandas library in Python. Participants will learn how to manipulate, analyze, and visualize data using Pandas, along with practical exercises on real-world datasets.

Getting Started

This workshop will utilize Jupyter Notebooks, an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text.

Dependencies

• Python
• Jupyter Notebooks
• Pandas

Installation

1. Download the workshop materials from the GitHub repository.
   • git clone https://github.com/matheusmaldaner/WorkshopArchive/Pandas.git
2. Install Pandas via pip:
   • pip install pandas
3. Launch Jupyter Notebook:
   • jupyter notebook

Usage

1. Open the "Pandas Workshop.ipynb" file in Jupyter Notebook.
2. Follow along with the workshop exercises and instructions provided in the Jupyter Notebook.
3. For self-paced learners, refer to the supplementary materials and exercises provided in the GitHub repository.

Roadmap

1. Introduction to Pandas and its capabilities.
2. Basics of data manipulation (read_csv, head, tail, etc.).
3. Hands-on exercises using the "spotify-2023.csv" dataset.
4. Advanced Pandas techniques and data visualization.

License

Distributed under the MIT License. See LICENSE for more information.

Authors

Matheus Kunzler Maldaner - Github

Marielle Doenges - Github

Acknowledgements

• Data Science and Informatics for hosting the workshop.
• Drew Smith for peer reviewing the material.

Thank you