In this video, you can write markdown cells that include images, lists, and math equations.
- [Instructor] Okay, so we're going to discard…the last part that we wrote.…It was just for demonstration purposes.…Let's execute some code.…Np.sin of 90, and Shift + Enter.…The results doesn't look right.…Let's check the help, and see what's going on.…So type np.sin, and then add a question mark after it,…and execute this cell.…Again we Shift + Enter or clicking on the Run button.…You'll see a small window opening up…with the help for np.sin.…
If you look at the parameter,…it says that it should be in radians, not in degrees.…To discard this window, we can either hit Escape…or click on the small X on the top right.…Sometimes, the built-in help is not enough,…and we'd like to view the source code as well.…For this, we'll use two question marks instead of one.…Type np.any, and then two question marks,…and run the cell.…Again, we get the help window,…and this time, we see that we have the help itself…but also below we can see the code of the function.…
Again, we can discard this window by clicking on the X sign…or hitting Escape.…
- 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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