5 Jupyter Notebook Tips & Tricks to Improve your Data Science Workflow!

Visit https://brilliant.org/KeithGalli/ to get started learning STEM for free, and the first 200 people will get 20% off their annual premium subscription In this video we walk through some of my favorite tips & tricks for doing data science with Jupyter Notebooks. Many of these tips have helped me become more efficient writing Python code for my data science projects. Topics covered: - Running bash commands from a jupyter notebook. You can use “!” in a code cell to run any terminal command that you want. You can also try using the “%” to execute magic lines. This includes some of the same bash commands that you might gravitate to as well as some Jupyter specific commands. - The most useful shortcuts that I think you should know. Ctrl+enter to run a cell, shift+enter to run a cell and skip to the next, B to create new cells below, M to turn a cell to markdown, and several more. We will also look at find & replace in this section. - Changing pandas default display settings (number of rows to display, columns, decimal points, etc.) - Turning on OS alerts for running Jupyter Notebook cells. This is particularly useful if you have a long machine learning model training job going on and you want to know exactly when it finishes so that you can play around with the results. - Creating slideshows within a Jupyter notebook! Bonus topic: - Changing your Jupyter Notebook theme! Monokai is a good one to use if you like dark-themes Source code: https://github.com/KeithGalli/Data-Science-Tips/tree/master/jupyter-notebook-tips If you have any questions about these tips & tricks, or if you have additional recommendations, please let me know in the comments! I hope you enjoyed this video! Please subscribe & give it a like if you did. Resources: - https://towardsdatascience.com/8-commonly-used-pandas-display-options-you-should-know-a832365efa95 Learn more about magic commands "%": https://ipython.readthedocs.io/en/stable/interactive/magics.html ------------------------- Follow me on social media! Instagram | https://www.instagram.com/keithgalli/ Twitter | https://twitter.com/keithgalli TikTok | https://tiktok.com/@keithgalli ------------------------- Song at the end good morning by Amine Maxwell https://soundcloud.com/aminemaxwell Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/2vpruoY Music promoted by Audio Library https://youtu.be/SQWFdnbzlgI ------------------------- If you are curious to learn how I make my tutorials, check out this video: https://youtu.be/LEO4igyXbLs Practice your Python Pandas data science skills with problems on StrataScratch! https://stratascratch.com/?via=keith Join the Python Army to get access to perks! YouTube - https://www.youtube.com/channel/UCq6XkhO5SZ66N04IcPbqNcw/join Patreon - https://www.patreon.com/keithgalli *I use affiliate links on the products that I recommend. I may earn a purchase commission or a referral bonus from the usage of these links. This video was sponsored by Brilliant.org ------------------------- Video timeline! 0:00 - Introduction & video overview 0:25 - Shoutout to this video’s sponsor, Brilliant.org! 2:11 - 1. Running terminal commands such as “pip” directly in a notebook 5:17 - Magic lines in Jupyter 6:11- 2. Shortcuts that you need to know for Jupyter! 9:25 - 3. Changing default Pandas options to improve results display 14:00 - 4. Setting up notifications for when a cell finishes execution 18:08 - 5. Creating slideshows from a IPython notebook! 23:00 - Conclusion (and link to bonus tip!)