https://github.com/tonytech83/jupyter-notebook-mastery

Jupyter Notebook Mastery - December 2023
https://github.com/tonytech83/jupyter-notebook-mastery

Last synced: about 2 months ago
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Jupyter Notebook Mastery - December 2023

• Host: GitHub
• URL: https://github.com/tonytech83/jupyter-notebook-mastery
• Owner: tonytech83
• License: mit
• Created: 2023-12-06T06:46:44.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-01-27T10:54:19.000Z (about 1 year ago)
• Last Synced: 2024-01-27T12:40:12.559Z (about 1 year ago)
• Language: Jupyter Notebook
• Size: 4.6 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
Jupyter Notebook Mastery - December 2023







The "Jupyter Notebook Mastery" course aims to impart fundamental skills for working with Jupyter Notebook. The course will focus on the process of data storytelling - the ability to extract knowledge from data and present it in an understandable and intuitive way. During the training, participants will learn about defining problems and hypotheses, preparing and visualizing data, creating a comprehensive Jupyter notebook, and drawing conclusions based on the analysis conducted. Those enrolled in the training will become familiar with basic Python libraries for data processing and visualization - Numpy, Pandas, and Matplotlib.






Language


- `Python`

Judge System


- [`Problem descriptiom and online judge system`](https://judge.softuni.org/Contests/#!/List/ByCategory/470/Jupyter-Notebook)

Table of Contents


- [`Introduction to Jupyter Notebook`](https://github.com/tonytech83/Jupyter-Notebook-Mastery/tree/main/01_Introduction_to_Jupyter_Notebook)

- [`Principles of Numpy`](https://github.com/tonytech83/Jupyter-Notebook-Mastery/tree/main/02_Principles_of_Numpy)

- [`Principles of Pandas`](https://github.com/tonytech83/Jupyter-Notebook-Mastery/tree/main/03_Principles_of_Pandas)

- [`Principles of Matplotlib`](https://github.com/tonytech83/Jupyter-Notebook-Mastery/tree/main/04_Principles_of_Matplotlib)







 Made with by Anton Petrov