Jupyter Notebook [Tutorial] with Python: 🌟 Introduction, Setup, and Walkthrough (2020) - PART #1

In this #Jupyter #Notebook #Python #Tutorial, we will be learning how to install, setup, and use Jupyter Notebooks.
Jupyter Notebooks have become very popular in the last few years, and for good reason. They allow you to create and share documents that contain live code, equations, visualizations and markdown text. This can all be run from directly in the browser. It is an essential tool to learn if you are getting started in Data Science, but will also have tons of benefits outside of that field. Let's get started.

Python is a very popular and powerful programming language. Python is versatile and can be fun to use in creating powerful and useful applications. Python can be used to create a variety of applications types

From games, web applications,desktop applications. Python is also very prominently used in data science and data analysis.

Jupyter Notebook is an environment that we can use to experiment with Python interactively . It allows you to share live Python code with others .

In this introductory beginners course we will learn about the basics of Python and Jupyter notebook.

What you'll learn
How to install Jupyter Notebook
How to run the Jupyter Notebook Server
Common Jupyter Commands
Jupyter Components
Notebook Dashboard
Explore Notebook Interface
Create Notebooks
Python Expressions
Python Statements
Python Variables
Python Data Types
Casting Data Types
Python Operators
Conditional Statements
Python Loops
Python Functions

In this tutorial you will be guided through the process of installing Jupyter Notebook. Furthermore we'll explore the basic functionality of Jupyter Notebook and you'll be able to try out first examples.

Jupyter Notebook is a web application that allows you to create and share documents that contain:

- live code (e.g. Python code)
- visualizations
- explanatory text (written in markdown syntax)

Jupyter Notebook is great for the following use cases:

- learn and try out Python
- data processing / transformation
- numeric simulation
- statistical modeling
- machine learning

[coddevx]

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