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Let ChatGPT Teach You How to Plot with Python and Matplotlib

BeginnerGuided Project

Want to learn to plot in python ?! ChatGPT will help you. This project asks ChatGPT to teach you how to generate Python code for creating plots and visualizations. Simply provide a brief description of the plot you want to create, and ChatGPT will generate the necessary code using the popular Matplotlib library. This tool allows even users with no programming experience to create professional-grade plots for their data. Whether you're a researcher, data scientist, or student, ChatGPT makes it easy to create beautiful and informative plots in Python. (Generated by ChatGPT with minor changes)

4.5 (78 Reviews)

Language

  • English

Topic

  • Artificial Intelligence

Industries

  • Information Technology

Enrollment Count

  • 415

Skills You Will Learn

  • Data Science, Information Technology, Chatbots

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 1 hour

Platform

  • SkillsNetwork

Last Update

  • December 14, 2024
About this Guided Project
Using ChatGPT for plotting in Python can be beneficial for a number of reasons:
  1. It allows users with no programming experience to easily learn how to create professional-grade plots: ChatGPT can generate the necessary Python code to create a plot based on a brief description, making it easy for even novice users to create high-quality plots.
  2. It saves time: Rather than manually writing code to create a plot, users can simply provide a description and let ChatGPT do the work. This can save a lot of time, especially for users who are not familiar with the syntax of the Matplotlib library.
  3. It can be customized: Users can customize the generated code by setting various parameters, such as the type of plot, the colours, and the labels. This allows users to create plots that are tailored to their specific needs and preferences.
  4. It can be used for a wide range of plots: ChatGPT can generate code for a wide range of plots, including line plots, scatter plots, bar plots, and more. This makes it a versatile tool for visualizing different types of data.

Overall, using ChatGPT for plotting in Python can be an efficient and convenient way to create professional-grade plots, and it can be particularly useful for users who are new to programming or who are not familiar with the Matplotlib library.
 (Generated by ChatGPT with minor changes)

What You'll Need

A browser, Jupyter Notebook, and signing up in https://openai.com/

Instructors

Sina Nazeri

Data Scientist at IBM

I am grateful to have had the opportunity to work as a Research Associate, Ph.D., and IBM Data Scientist. Through my work, I have gained experience in unraveling complex data structures to extract insights and provide valuable guidance.

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Joseph Santarcangelo

Senior Data Scientist at IBM

Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.

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Contributors

Rav Ahuja

Global Program Director, IBM Skills Network

Rav Ahuja is a Global Program Director at IBM. He leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. Rav co-founded Cognitive Class, an IBM led initiative to democratize skills for in demand technologies. He is based out of the IBM Canada Lab in Toronto and specializes in instructional solutions for AI, Data, Software Engineering and Cloud. Rav presents at events worldwide and has authored numerous papers, articles, books and courses on subjects in managing and analyzing data. Rav holds B. Eng. from McGill University and MBA from University of Western Ontario.

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Jigisha Barbhaya

Data Scientist

I am a Data scientist at IBM and Lead instructor at Skills network. I love to learn and educate. I have completed my MSc(Computer Application) specialisation in Data science from Symbiosis University.

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Sheng-Kai Chen

Data Scientist

Sheng-Kai Chen is a graduate student at the University of Toronto, concentrating on Information Systems & Design. Having several experiences analyzing data for retail stores and designing small software for small businesses. Sheng-Kai was inspired to shift toward answering new challenges with machine learning and new technics.

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