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NumPy & Matplotlib Workshop

Introduction to Numerical Computing and Data Visualization with NumPy and Matplotlib in Python

Table of Contents
  1. About The Workshop
  2. Getting Started
  3. Usage
  4. Roadmap
  5. License
  6. Authors
  7. Acknowledgements

About The Workshop

This workshop is designed to introduce participants to the foundational concepts of numerical computing with NumPy and data visualization with Matplotlib in Python. Attendees will gain practical experience through interactive examples and hands-on exercises.

Getting Started

Participants will use Jupyter Notebooks for an interactive coding experience, combining live code with narrative text, mathematical equations, and visualizations.

Dependencies

  • Python
  • Jupyter Notebooks
  • NumPy
  • Matplotlib

Installation

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

Usage

  1. Open the "NumPy_Matplotlib_Workshop.ipynb" file in Jupyter Notebook.
  2. Proceed through the exercises and examples provided, which will guide you through the basics of NumPy and Matplotlib.
  3. Supplemental materials and self-guided exercises are available in the repository for further learning.

Roadmap

  1. Overview of NumPy arrays and operations.
  2. Basic data manipulation with NumPy.
  3. Introduction to data visualization with Matplotlib.
  4. Advanced topics and hands-on exercises with real-world datasets.

License

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

Authors

Jim Su - @yimothysu

Acknowledgements

  • Data Science and Informatics institute

Thank You