Practical Jupyter Notebook from Beginner to Expert

Python, Markdown, HTML, LaTex, Javascipts, R, Matplotlib, Plotly, Basic plots, Interative plots, Web App, and many more

Created by : Rated :4.8 9757 views

Last Updated: 2022-05-04 05:05:26 English Course Type: Self Learning

Install Python, setup windows new terminal, install Jupyter notebook and create Jupyter notebook, create working directory and access it from the terminal
Create, display and run .py file, run external IPython files, formating text with Markdown and HTML， run R and Javascript in Jupyter notebook
Create, insert equations, embed images, audios and videos into Jupyter notebook and align them in Jupyter notebook
Change themes, use widely used shortcuts, smart code completion plugin, multi-line cursors, popular magic commands , install packages directly in Jupyter notebook
Create basic plots, interactive plots and interactive plot widget in Jupyter notebook
Create a content table for a single or multiple notebooks, and convert notebook to a instant and live slideshow and a standalone web application
Solve unavailable problem of Built-in terminal of Jupyter notebook on Windows, Solve problem of R unable to install packages on onedrive on Widows

This course consists of 7 sections, including 30 lectures, which cover the core of the Jupyter Notebook from the basic concepts, operations to detailed applications. It includes

(1) install Python, setup windows new terminal, install Jupyter notebook and create Jupyter notebook, create working directory and access it from Windows terminal;

(2) create, display and run .py file, run external IPython files, formating text with Markdown and HTML in Jupyter notebook;

(3) create tables, insert equations, embed images, audios and videos into Jupyter notebook and align them using Markdown, HTML, Magics, IPython functions, etc.

(4) change themes, use widely used shortcuts, smart code completion plugin, multi-line cursors, popular magic commands , install packages directly in Jupyter notebook, as well as use the built-in terminal;

(5) create basic plotting, interactive plotting and Interactive plot widget in Jupyter notebook;

(6) make a content table for an inside Jupyter notebook and for multiple notebooks , convert notebook to a presentation slideshow, and transfer a notebook to a web application.

This course uses practical examples to help you understand and grasp the Jupyter Notebook from a beginner to an expert in an easy and quick way. This one course is enough for you to grasp almost all aspect of the Jupyter notebook

Basic knowledge of Python, or other programming knowledge would be advantage to grasp the skills more quickly.

Programmers, business analysts, data analysts, statisticians, and data scientists, who want to learn how to use Jupyter notebook for code writing, data analysis and machine learning
It is also helpful to students and academic faculties, who are learning and teaching Python, data analysis and modelling, and machine learning.
But it can be for anyone who loves Python and Jupyter notebook for his/her projects.

Section 1 : Introduction 2 Lectures 00:19:06
Lecture 1 :
Course Contents Preview
The lecture introduce the course curriculum, mainly including Why learn Python, Why learn Jupyter notebook, and the contents of the course
Lecture 2 :
How to Use and Download the Notebook Files
This lecture shows how to use and download the notebook files of the course: (1) Run the code on cloud plateform (Binder) directly without downloading them on local machine (2) Download the files on local machine using two ways
Section 2 : Setting Up Development Environment 6 Lectures 00:32:10
Lecture 1 :
Installing Python
This lecture diiscusses Anaconda Python and Traditional Python. After this lecture, you are able to install the latest version of traditional Python.
Lecture 2 :
Setting up Windows Terminal
This lecture talks about terminals. After the lecture, you are able to (1) install and set up windows new terminal, (2) use it to check Python and pip version
Lecture 3 :
installing Jupyter Notebook
This lecture glances over Jupyter notebook using an example, and talk about installation of Jupyter notebook. After this lecture, you are able to (1) install Jupyter Notebook from terminal, and (2) check its version from the terminal
Lecture 4 :
Starting Jupyter Notebook App
This lecture shows you how to start Jupyter notebook and its dashboard. After this lecture, you are able to (1) start Jupyter notebook app from terminal, and (2) use its dashboard
Lecture 5 :
Creating Working Directory
This lecture talks about working directory. After this lecture, you can use terminal to (1) check your current working directory (2) create a new working directory (3) use different methods to start jupyter notebook from the working directory, and (4) create subfolders from Dashboard
Lecture 6 :
Creating a Jupyter Notebook
This lecture displays how to create a Jupyter notebook.
Section 3 : Basic Application 8 Lectures 00:10:13
Lecture 1 :
Python Programming
This lecture will talk about Python programming in Jupyter notebook. After this lecture, you are able to (1) Create a .py File, (2) Read a .py File, (3) Append to a .py File, (4) Update a .py File, (5) Run a .py File (6) Run an external .ipynb file, and (7) Run codes from a Python or IPython shell
Lecture 2 :
Text Formation with Markdown
This lecture will talk about how to formate text with Markdown syntax in Jupyter Notebook.
Lecture 3 :
Creating Table
This lecture shows how to create tables and align them in Jupyter notebook.
Lecture 4 :
Inserting Math Equations and Symbols
This lecture diplays how to insert math equations and symbols using LaTax in Jupyter notebook.
Lecture 5 :
Embedding Images
This lecture talks about how to embed and align images in Jupyter notebook.
Lecture 6 :
Embedding Audios and Videos
This lecture shows how to embed local and online audios and video in Jupyter notebook.
Lecture 7 :
Text Formation with HTML
This lecture displays how to formate text with HTML in Jupyter notebook, which includes two parts: Basic Text Formation and Advanced Text Formation.
Lecture 8 :
Running Other Programming Languages
This lecture talks about how to run other programming languages focusing on Javascript and R.
Section 4 : Advanced Features 6 Lectures 00:47:36
Lecture 1 :
Change Themes
This lecture shoes how to change the theme of Jupyter notebook.
Lecture 2 :
Multi-line Cursor
This lecture shows how to use the multi-line cursor of Jupyter notebook for multilne operation using some examples.
Lecture 3 :
Frequently Used Shortcuts
This lecture talks about frequently used shortcuts of Jupyter Notebook.
Lecture 4 :
Smart Code Auto-Completion
This lecture discusses a smart code auto completion plugin named TabNine.
Lecture 5 :
Magic Commands and Alternatives
This lecture talks systematically about magic commands and their alternatives in the Jupyter Notebook.
Lecture 6 :
Buit-in Terminal
This lecture talks about how to use the built-in terminal of Jupyter notebook.
Section 5 : Data Visualization 3 Lectures 00:16:10
Lecture 1 :
Basic Plots
This lecture displays how to create basic plots with Matplotlib in Jupyter notebook.
Lecture 2 :
Interactive Plots
This lecture talks about how to create 2D and 3Dinteractive plots in Jupyter notebook.
Lecture 3 :
Interactive Plot Widgets
This lecture shows you how to create interactive widget plots in Jupyter notebook.
Section 6 : Notebooks Organizing and Displaying 3 Lectures 00:08:28
Lecture 1 :
Creating Table of Content
This lecture talks about how to create Table of Contents (TOC) in signal Jupyter notebook and for multiple notebooks.
Lecture 2 :
Coverting Notebook into Live Slideshow
A Jupyter notebook can be eigher transfered into Reveal.js slides or turned into an immediate slide presentation.
Lecture 3 :
Converting Notebook into Standalone Web Application
This lecture talks about how to Convert a Jupyter Notebook into a Standalone Web Application.
Section 7 : Appendix 2 Lectures 00:17:53
Lecture 1 :
How to Solve Unavailable Built-in Terminal Problem on Windows
Many people are facing "Unavailable Built-in Terminal Problem on Windows", and this appendix lecture provides a solution to solve this problem.
Lecture 2 :
How to Solve Problem of R Unabling to Install Packages in Onedrive on Windows
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.

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Shouke Wei, Ph.D.,

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Professor Dr. Shouke Wei. Nearly 20 years of teaching and research experience and 10 years of entrepreneur and management experience in computer modelling and simulation, big data analysis, machine learning algorithms; Ph.D. in Environment and Resource Management; Postdoctoral scientist, and Ph.D. supervisor in Environmental System Modelling; Research associate and Visiting scientist in Forest Hydrological Ecosystem Modelling; Industrial Professor, Adjunct Professor teaching AI and machine learning courses and Postgraduate supervisor in Deep reinforcement learning and Computer vision; Senior Research in R&D of real time monitoring and early warning system platform for water protection, human safety and health; Participated in or hodeling 12 international research projects; Participated as an invited key speaker in 12 scientific conferences and workshops; Having 27 software copyrights, 4 patents and over 40 pulications.