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Jupyter Notebook for Beginners
Rating: 4.1 out of 5(105 ratings)
1,294 students
Created byAnup Shukla
Last updated 2/2023
English

What you'll learn

  • Run the code snippets of more than 40 programming languages and view the results then and there - within Jupyter Notebook
  • Create and visualize graphs,plots, and charts within the notebook
  • Write sharable notes, Create your own notebooks on Python, Julia, R and other supported languages
  • Learn to operate the notebook fast using keyboard shortcuts

Course content

2 sections12 lectures34m total length
  • Overview and Installation4:59

    Learn what a Jupyter Notebook is, and how you can install it.

  • Launching/Opening Jupyter Notebook1:58

    Learn how to open/launch the Jupyter Notebook after installing it.

Requirements

  • Access to a working computer
  • Knowledge of Python is an added advantage

Description

This is an introductory course for absolute beginners who want to start with Jupyter notebook as a tool.

Who need Jupyter Notebook ?

1. If you want a highly lucrative career in machine learning, data science, deep learning, or in any other data driven technologies, you should know how to work with Jupyter Notebook: one of the most important tools a machine learning engineer or a data scientist needs in her (his) day-to-day job!

2. Jupyter Notebook is also used among scientific communities and mathematicians.

3. If you are a Python or R developer, looking for a tool to quickly run the ad-hoc scripts, see the result then and there, and fix your code as you go, Jupyter Notebook is a tool you need.

Advantages of Jupyter Notebook

It is similar to a physical notebook you carry to take notes, in the sense that - you can write textual content, embed images, videos, and run all the code and programs, see the results of your programs - all within the notebook itself. Jupyter notebook supports more than 40 programming languages.  If you are learning Python, Julia or R, its highly recommended you start using Jupyter Notebook - you'll love it!

You can share and distribute the notebooks you create using Jupyter notebook as a tool.


Who this course is for:

  • All who want to use Jupyter Notebooks
  • Python programmers
  • Data Scientists and Data Analysts
  • Machine Learning Engineers