Practical Jupyter Notebook from Beginner to Expert

This lecture diiscusses Anaconda Python and Traditional Python. After this lecture, you are able to install the latest version of traditional Python.

This lecture talks about terminals. After the lecture, you are able to

• install and set up windows new terminal, 

• use it to check Python and pip version

This lecture glances over Jupyter notebook using an example, and talk about installation of Jupyter notebook. After this lecture, you are able to

• install Jupyter Notebook from terminal, and

• check its version from the terminal

This lecture shows you how to start Jupyter notebook and its dashboard. After this lecture, you are able to

• start Jupyter notebook app from terminal, and

• use its dashboard

This lecture talks about working directory. After this lecture, you can use terminal to

• check your current working directory

• create a new working directory

• use different methods to start jupyter notebook from the working directory

• create subfolders from Dashboard

This lecture discusses how to create a Jupyter notebook. After this lecture, you are able to

• create a Jupyter notebook

• use the notebook UI

• rename the notebook

• close the notebook properly

This lecture will talk about Python programming in Jupyter notebook. After this lecture, you are able to

• Create a .py File

• Read a .py File

• Append to a .py File

• Update a .py File

• Run a .py File

• Run an external .ipynb file

• Run codes from a Python or IPython shell

This lecture will talk about how to formate text with Markdown syntax in Jupyter Notebook. After this lecture, you are able to use Mardown syntex to create

• Headings

• Line Break

• Paragraphs

• List and Nested List

• Emphasis

• Blockquotes

• Code Blocks

• Task Lists

• Hyperlinks

• Emoji

This lecture displays how to formate text with HTML in Jupyter notebook, which includes two parts: Basic Text Formation and Advanced Text Formation. After this lecture, you are able to use HTML to :

• create Headings

• create Line Break

• create Paragraphs

• create List and Nested List

• make text Emphasis

• create Blockquotes

• create Code Blocks

• create Task Lists

• create Hyperlinks

• create Emoji

• create Definition Lists

• Set Font Type

• Set Font size

• Set Font Color

• Highlight Text in Different Colors

• Text Alighment

This lecture shows how to create tables and align them in Jupyter notebook. After this lecture, you are able to create and align tables in Jupyter notebook using

• Markdown

• HTML

• %html magic

• IPython html function

This lecture diplays how to insert math equations and symbols using LaTax in Jupyter notebook. After this lecture, you are able to create

• Greek Letters

• Accent Signs

• Big Symbols

• Relation Symbols

• Subscript and Superscript

• Fraction, Binomial, and Stacked number

• Matrices and Arrays

• Radical

• Sum, Limit and Integral

• Equation Formation

• Numbering Equations

This lecture talks about how to embed and align images in Jupyter notebook. After this lecture, you are able to embed and align images using

• Markedown Syntax

• HTML

• IPython Image Function

This lecture shows how to embed local and online audios and video in Jupyter notebook. After this lecture, you are able to embed local and online audios and videos using

• Markdown Syntax

• HTML Syntax

• %%HTML Magic

• IPython HTML, Audio and Video Functions

This lecture talks about how to run other programming languages. After this lecture, you are able to

• run Javascript using magic function and IPython Javascript function

• run R in Jupyter notebook using rpy2 library and by installing rkernel

• setup environments to run other programming languages in Jupyter notebook

This lecture shoes how to change the theme of Jupyter notebook. After this lecture, you are able to

• Install jupyter-theme package

• Check the available themes in the package

• Change the theme

• Restore the orginal theme

This lecture talks about frequently used shortcuts of Jupyter Notebook. After this lecture, you are able to use

• shortcuts in edit mode

• shortcuts in command mode

• shortcuts in both modes

This lecture shows how to use the multi-line cursor of Jupyter notebook for multilne operation using some examples. After this lecture, you are able to use multiline cursor for 

• Comments

• Indentation

• Bullets

• Emphasized text

• Text Alignment

• Make Tables

• Multiple Plots

• Multiple String Items

• Many more

This lecture discusses a smart code auto completion plugin named TabNine. After this lecture, you are able to

• Install the plugin

• Temporally stop the plugin

• Unistall the plugin

This lecture talks systematically about  magic commands and their alternatives in the Jupyter Notebook. After this lecture, you are able to use different

• Line magics

• Cell magics

This lecture talks about how to use the built-in terminal of Jupyter notebook. After this leture, you are able to

• access use the built-in terminal

• solve the problem of Unavailable Terminal on Windows on some computers

• run .py file in buit-in terminal

This lecture displays how to create basic plots with Matplotlib in Jupyter notebook. After this lecture, you are able to create basic plots uing

• MATLAB-style Interface

• Object-oriented Interface

This lecture talks about how to create 2D and 3Dinteractive plots in Jupyter notebook. After this lecture, you are able to create

• 2D Interative Plots with Matplotlib

• 3D Interative Plots with Matplotlib and ipympl

• 2D and 3D Interative Plots with Plotly

This lecture shows you how to create interactive widget plots. After the lecture, you are able to use the following 5 methods to create interactive widget plots

• Interact Function

• Interact Decorator

• Interactive Function

• Interact_manual

• Interact_manual Decorator

This lecture talks about how to create Table of Contents (TOC) in Jupyter notebook. After this lecture, you are able to create

• A TOC for a signal notebook

• A TOC for Multiple notebooks

A Jupyter notebook can be eigher transfered into Reveal.js slides or turned into an immediate slide presentation. After this lecture, you are able to three methods to create a presentation slideshows from a notebook, i.e.

• Saving Notebook as Reveal.js slideshow

• Converting Notebook into slideshow

• Turning Notebook into an Immediate and Live slideshow

This lecture talks about how to Convert a Jupyter Notebook into a Standalone Web Application. After the lecture, you are able to

• Create a Plot Web App

• Convert it to a standalone web App

Many students are facing "Unavailable Built-in Terminal Problem on Windows", and this appendix lecture provides a solution to solve this problem.

Many students are facing the problem of R unabling to install packages in onedrive on Windows. This lecture provides a solution to solve this problem.