Intro

Download and Install Anaconda

Launch Jupyter Notebook

CLI inside Jupyter Notebook

Create a new folder in Jupyter Notebook

Create a new Jupyter Notebook

How to shutdown and restart Jupyter Notebook processes

Add content to your Jupyter Notebook

Add Python Examples for Beginners to your Jupyter Notebook

How to delete content from your Jupyter Notebook

Intro

3D Plot

Installation

Code cells

Moving between cells

Command mode

Markdown Headings

Turning cells to Markdown or Python

Infinite Loop

Conclusion

Intro

Starting Jupyter Notebook

Jupyter Notebook console

Programming in Jupyter

Execute a cell

Toggle line numbers

Edit mode

Restarting the kernel

Clearing output

Shutting down the webserver

Intro

Python shell and IPython

Pip install amd starting jupyter notebooks

Jupyter Notebooks

Juyter Lab

Google Colab

Kaggle Notebooks

Keyboard Shortcuts

Conclusion

HISTORY

INSTALLATION

GETTING STARTED

SECURITY

DEMO (PYTHON, PANDAS)

Introduction

Installation

Create a Notebook

Matplotlib Line Magic

Saving Jupyter Notebook

%System Command

Add Explanatory Text

Italic Text

Output Jupyter Notebook as Python File

Conclusion

Intro

Installing Jupyter with Anaconda

Download Anaconda

Creating a new Jupyter Notebook file

Assign a name to the notebook

Jupyter Notebook Cells

Running the code

Cell activation modes

Deleting cells

Conclusion

Introduction

Jupyter notebook example

Installing Python and Jupyter notebooks

Launching Jupyter notebooks

Basic notebook functionality

The kernel, and variables

Other notebook functionality

The menu

Jupyter notebook keyboard shortcuts

Load and display data using pandas

Using terminal commands inside a Jupyter notebook

Jupyter notebook magic commands

Other features outside of the notebooks

Shutting down Jupyter notebooks

Jupyter notebook extensions and other libraries

Conclusion, and thank you

Installation

Accessing Jupyter Notebook

Jupyter Environments

Jupyter Notebook Extension

Jupyter Notebook Headers

Jupyter Notebook Kernel

Inline Editing and Output

Plots in Jupyter Notebook

Downloading a Jupyter Notebook

Conclusion

Introduction & video overview

Shoutout to this video’s sponsor, Brilliant.org!

1. Running terminal commands such as “pip” directly in a notebook

Magic lines in Jupyter

2. Shortcuts that you need to know for Jupyter!

3. Changing default Pandas options to improve results display

4. Setting up notifications for when a cell finishes execution

5. Creating slideshows from a IPython notebook!

Conclusion (and link to bonus tip!)

Intro

Open a new Jupyter Notebook!

Running your Python code in a cell

Auto-completion in Jupyter

Adding new cells or removing existing ones (in Command Mode)

Editing shortcuts

Syntax help: reading documentation in Jupyter (docstring and signature)

Markdown cells + commenting

How to Shut down a Jupyter Notebook properly

Conclusion

Intro Paragraphs

Code review

Create modules

Importing a module

Be sequential when running cells

Restart the kernel

Watermark extension

Printing the environment

Conclusion

What Are Jupyter Notebooks?

How to Launch Jupyter Notebook

The Jupyter Notebook Architecture

How to Add, Remove, and Select Cells in Jupyter Notebook

Intro

What is Jupyter Notebook?

Story behind Name Jupyter

How to install Jupyter and open it

How to create New Jupyter Notebook

How to execute Python Code

Markdown syntax

Terminal commands

Magic commands and exporting of Notebook

Regular Expressions

Add a Cell

Resources To Learn More

Setting up PyStata

Load python data into Stata

Conclusion