Learn how to version packages for greater stability while working and deploying. You can use the conda package manager to create an environment and install packages with specific versions in it.
- [Instructor] So what are those environments?…We can only have one version of a package…for a given Python installation, but what's wrong…with having the latest version?…Well in most cases it will work,…but in some cases bugs are introduced…and APIs can change.…As a joke says, "We don't care if it works on…"your computer, we're not selling your computer…"to customers."…Meaning you need to be able to reproduce…the running environment in production.…Environment is an installation of Python,…and we want to create an environment…with known versions of each package.…
This way our deployments are much more stable…and predictable.…In the Pip world, we use a tool called virtualenv…to create virtual environments and in Anaconda we use…well, Conda.…It's highly recommended to work in an environment…per project and not in the root environment.…It gives the flexibility of working…with different versions of packages per project…and we'll be able to provide the operations team…an environment to replicate.…So let's create an environment.…
- 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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