Learn the basics of using the git source control software to manage your code. You can see how to commit code and work with remote repositories. You can also see how to ignore files so they won’t be committed accidentally.
- [Instructor] There is a poem going around…in the programming community that reads,…"99 little bugs in the code,…"take one down, patch it around,…"117 little bugs in the code".…We do make mistakes,…and sometimes we need to get back…to an earlier version of the code we wrote.…This is a job for source control.…The other major job of source control…is to allow several people…to work together on the same code base.…There are many systems for source control.…Subversion, Mercurial, Perforce, and many others.…Recently, Git gained a lot of momentum.…
I'll show you the basics of Git,…but the ideas are the same in most other systems.…Most IDEs have support for Git,…and you can run Git commands from inside your IDE.…I'll show the commands from the terminal,…but the principles are the same.…The most common workflow…is to clone an existing remote project.…It'll then work locally on your machine,…pushing changes to the remote repository from time to time.…So let's start.…I've created a data repository for this purpose.…So we'll clone it with Git clone,…
- 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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