Welcome to the "Generating Graphs using Python and ChatGPT" workshop, part of ResBaz2023. This repository contains example datasets and pre-made scripts to help you learn how to leverage ChatGPT to code Python graphs for data science purposes. This is for the workshop "Generating Graphs using Python and ChatGPT" for the 2023 Brisbane ResBaz conference.
In this workshop, you will learn how to use ChatGPT, a powerful language model, to assist in generating Python code for creating graphs. The goal is to streamline the process of visualizing data for data science and analysis. We have provided example datasets and scripts in the repository to guide you through the hands-on exercises.
Before you begin, make sure you have the following installed:
- Python 3.x
- numpy
- matplotlib
- pandas
Install the dependencies using:
pip install numpy matplotlib pandas
git clone https://github.com/Lachiemckbioinfo/Resbaz2023-datasets.git
cd Resbaz2023-datasets- Overview
- Software Installation:
- Download Python IDE
- Access ChatGPT
- Introduction:
- What is Python?
- What can it be used for?
- Basic Introduction to Python Coding with ChatGPT
- How to Generate Graphs using Python Code Generated by ChatGPT
- Altering and Sharing ChatGPT Scripts
- Further Applications
- Q&A and Discussion
These libraries are not part of this workshop, but are incredibly useful for data scientists using Python.
These can be installed with pip:
pip install scipy seaborn
We appreciate your feedback! If you have any suggestions or encounter issues during the workshop, please create an issue in this repository.
This readme was generated with ChatGPT. Happy coding!