An introduction to "Data Science"

A Python Survival Pack

The full set of tools we'll be using is available in Anaconda.

Please select the Python 3 download.

This is a big download, so if you're on conference wifi, rather install MiniConda, and install additional packages as you need them with

conda install package_name

The full list of packages you'll need:

All of these, except for seaborn, are installed by default.

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
data		data
figures		figures
.gitignore		.gitignore
.notes.txt		.notes.txt
00_introduction.ipynb		00_introduction.ipynb
01_exercise_pandas.ipynb		01_exercise_pandas.ipynb
01_intro_numpy_pandas.ipynb		01_intro_numpy_pandas.ipynb
01_solutions_pandas.ipynb		01_solutions_pandas.ipynb
02_intro_seaborn.ipynb		02_intro_seaborn.ipynb
03_exercise_scikit_learn.ipynb		03_exercise_scikit_learn.ipynb
03_intro_scikit_learn.ipynb		03_intro_scikit_learn.ipynb
03_solutions_scikit_learn.ipynb		03_solutions_scikit_learn.ipynb
README.md		README.md
colormaps.py		colormaps.py
index.ipynb		index.ipynb
requirements.txt		requirements.txt