In this video, you can learn about kernels and the need to re-run notebooks when returning to previous work.
- [Instructor] Notebooks are generally great…for doing research and working with data.…However, after completing your initial research,…it's a good practice to tidy up your notebook…before presenting it to others.…Let's take a look at the toolbar…and see what options are available.…The first icon is for saving the current state…of the notebook.…Jupyter does this automatically from time to time,…but you can still save manually.…When you save, a checkpoint is created.…You can revert to an earlier checkpoint…from the file, revert checkpoint menu.…
Next, we have some notebook editing buttons.…The first button with the plus sign…is insert cell below.…If we click on it, we'll see a new cell…below the current cell.…The current cell is the one that has border around it…and a blue line to the left of it.…This option is often used to add the commentation…in markdown to the current code.…By default, the new cells are code cells.…We'll need to use the dropdown…to change them to a markdown cell.…I'll go to the menu, click on markdown,…
- Working with Jupyter notebooks
- Using code cells
- Extensions to the Python language
- Markdown cells
- Editing notebooks
- NumPy basics
- Broadcasting, array operations, and ufuncs
- Folium and Geo
- Machine learning with scikit-learn
- Plotting with matplotlib and bokeh
- Branching into Numba, Cython, deep learning, and NLP
Skill Level Intermediate
NumPy Data Science Essential Trainingwith Charles Kelly3h 54m Intermediate
1. Scientific Python Overview
2. The Jupyter Notebook
3. NumPy Basics
Manage environments5m 11s
6. Folium and Geo
7. NY Taxi Data
10. Other Packages
11. Development Process
Next steps1m 33s
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