Jupyter Notebook overview for all Python developers

Name: Jupyter Notebook overview for all Python developers
Rating: 4.3 (224 reviews)

Introduction, Installation, walkthrough, Cell types, Modes, Magic Commands, Shortcuts, Publishing and Sharing

Created byMuhammad Omer

Last updated 12/2020

English

English [Auto],

What you'll learn

Anaconda Installation
Jupyter Notebook Introduction
Jupyter Notebook Interface Walkthrough
Cell Types & Modes
Shortcuts & Magic commands
Publishing & Sharing Jupyter Notebook

Course content

1 section • 8 lectures • 31m total length

Introduction1:27
Explore a concise overview of Jupiter notebook for Python developers, covering Anakonda, notebook basics, cell types, magic commands, and sharing notebooks on websites or with teams.
Course Overview0:57
Explore how the Anakonda distribution installs Python, Jupiter Notebook, and Spider to write Python code, bundles hundreds of libraries, and includes a Gondar package manager.
Anaconda Installation2:59
Install Anaconda for individual use by downloading the 64-bit Windows installer and completing the setup. Then open cmd, start jupyter notebook to launch the server and write python code.
Jupyter Notebook Interface Walkthrough9:09
Explore the Jupyter notebook interface with a practical walkthrough of creating, renaming, and organizing notebooks; run cells, manage kernels, and export notebooks for Python development.
Cell Types & Modes3:58
Learn about cell types and modes in the Jupyter Notebook, focusing on code and markdown cells, edit and command modes, and using the ribbon to speed coding.
Shortcuts & Magic Commands7:41
Master essential Jupyter shortcuts and magic commands to speed up Python development, including editing and managing cells, loading and running code from files, and timing or capturing outputs.
Publishing & Sharing Jupyter notebook2:19
Publish and share notebooks by exporting as HTML or PDF, then share via a pure Python file or links, and schedule with Windows Task Scheduler.
Jupyter Notebook Extentions2:57
Discover Jupyter notebook extensions that extend functionality, including Hinterland autocomplete. Install and enable extensions via command line to boost coding speed.

Requirements

There are no requirements or prerequisites for this course

Description

This course is designed for all python developers who are eager to learn different features and functions of Jupyter notebook. This course will provide you complete knowledge and understanding of frequently used Jupyter notebook features. With the help of this course, your productivity and coding skills will reach the next level.

This course is for all the developers from beginners to advance, if you are a new Python developer or an experienced one, you will definitely learn something new in this course.

We'll start our course with an introduction to Anaconda and Jupyter notebook. After the introduction, Anaconda installation will be performed and I will show you how to start writing code in Jupyter Notebook. Our next step will be to go through Menu tabs and all options inside each tab to get familiar with their functions. We'll also look at Cell types, Modes, Shortcuts and Magic Commands. At the end we'll see how can we publish the Jupyter notebook file on a website or blog and how can we share it with other team members.

Who this course is for:

Python Developers
Data Scientists
Data Analysis