Practical Jupyter Notebook from Beginner to Expert

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2022-04-22
Learners

No Information
Duration

No Information
Instructor

Dr. Shouke Wei

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3.5

238 Ratings

This course provides a comprehensive introduction to the Jupyter Notebook, from installation and setup to mastering the core concepts and operations. Through practical examples, learners will gain an understanding of the Jupyter Notebook from beginner to expert level. Topics include creating and running .py files, formatting text, creating tables and equations, embedding images, audios, and videos, changing themes, using shortcuts, installing packages, creating basic and interactive plotting, and more. Click now to learn how to use the Jupyter Notebook quickly and easily!

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Practical Jupyter Notebook from Beginner to Expert

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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This course provides a comprehensive introduction to the Jupyter Notebook for new learners. It covers the core concepts, operations, and detailed applications of the Jupyter Notebook, including installation, setup, creating and running .py files, formatting text with Markdown and HTML, creating tables and equations, embedding images, audios, and videos, changing themes, using shortcuts, smart code completion plugin, multi-line cursors, popular magic commands, installing packages, creating basic plotting, interactive plotting, and interactive plot widgets, creating content tables for an inside Jupyter notebook and for multiple notebooks, converting a notebook to a presentation slideshow, and transferring a notebook to a web application. Through practical examples, this course enables learners to gain an understanding of the Jupyter Notebook and to progress from a beginner to an expert level in an efficient and straightforward manner.

Course Syllabus

Introduction

Setting Up Development Environment

Basic Applications

Advanced Features

Data Visualization

Notebooks Organizing and Displaying

Appendix

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