Never miss a tutorial! Subscribe to the Project Data Science channel: https://bit.ly/3yTMdQV Go from zero to hero with our Data Science Specialization: https://courses.projectdatascience.com/courses/becoming-a-data-science-practitioner. Or learn about all of data science in one blog post! https://www.projectdatascience.com/what-is-data-science/ ... Jupyter notebooks have become more and more popular within data science. They're very powerful, and will help you build your data science toolkit. This tutorial shows you how to use them! Here are some of the things we'll cover: - Basic Jupyter notebook functionality - Jupyter keyboard shortcuts (I'm all about the keyboard shortcuts!) - Some intermediate topics, like the Python kernel and the notebook terminal - And, some of the powerful extensions and additional libraries that you can use to super-charge your Jupyter notebook setup. If you learn something, throw us a subscribe, like, comment or share! Happy learning! --- 00:00 Introduction 01:35 Jupyter notebook example 04:11 Installing Python and Jupyter notebooks 09:23 Launching Jupyter notebooks 11:08 Basic notebook functionality 20:58 The kernel, and variables 28:38 Other notebook functionality 34:45 The menu 35:52 Jupyter notebook keyboard shortcuts 36:57 Load and display data using pandas 40:33 Using terminal commands inside a Jupyter notebook 42:30 Jupyter notebook magic commands 45:07 Other features outside of the notebooks 46:41 Shutting down Jupyter notebooks 48:02 Jupyter notebook extensions and other libraries 52:47 Conclusion, and thank you --- Additional Project Data Science Resources: - https://projectdatascience.com/ (The official Project Data Science site!) - https://www.youtube.com/watch?v=-Db9ecTQXUE (Pandas Mega-Tutorial - everything you need to know when you're first learning pandas, one of the main Python libraries for data science) - https://www.youtube.com/watch?v=axSTGczvYIE (Matplotlib Mega-Tutorial - data visualization in Python!) - https://www.youtube.com/watch?v=rdaG53khzv0 (Beginner's introduction to machine learning with Python.) - https://www.youtube.com/watch?v=GNKt8TAIAVc (Beginner's introduction to neural networks in Python.) --- Additional Resources: - https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks (A gallery of interesting Jupyter Notebooks.) - https://docs.conda.io/en/latest/miniconda.html (Miniconda -- this is how I recommend installing Python and conda. We use conda for virtual environments.) - https://jupyter.org/ (The main Project Jupyter homepage.) - https://nbconvert.readthedocs.io/en/latest/ (nbconvert, for converting your notebooks to different formats.) - https://nbformat.readthedocs.io/en/latest/api.html (nbformat, for programmatically creating, reading, and modifying Jupyter notebooks) - https://papermill.readthedocs.io/en/latest/ (Papermill, for parameterizing and executing notebooks.) - https://nbviewer.jupyter.org/ (nbviewer, a way to share Jupyter notebooks via the browser) - https://github.com/ipython-contrib/jupyter_contrib_nbextensions (Jupyter notebook extensions)