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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:
github.com/KeithGalli/Data-Sc...
If you have any questions about these tips & tricks, or if you have additional recommendations, please let me know in the comments!
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Resources:
- towardsdatascience.com/8-comm...
Learn more about magic commands "%": ipython.readthedocs.io/en/sta...
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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!)