Python for data processing

Notebooks for "Python for data processing" lab at JU, 2016.

Content

L1, L2, L3 and L7 introduce basic python programming concepts and packages using Tic-Tac-Toe and spell checker as examples
L4, L5 and L6 introduce basic data (csv, txt) processing manually and using regexes
L8, L9 introduce basic concepts how to process and plot data using pandas/matplotlib/seaborn
L10 shows how to do basic data exploration
L11 introduces BeautifulSoup and basic ML concepts
L12 talks about pitfalls of hypothesis testing

Content is based or inspired on:

Name		Name	Last commit message	Last commit date
Latest commit History 51 Commits
data		data
img		img
L1.ipynb		L1.ipynb
L10.ipynb		L10.ipynb
L11.ipynb		L11.ipynb
L12.ipynb		L12.ipynb
L2.ipynb		L2.ipynb
L3.ipynb		L3.ipynb
L4.ipynb		L4.ipynb
L5.ipynb		L5.ipynb
L6.ipynb		L6.ipynb
L7.ipynb		L7.ipynb
L8.ipynb		L8.ipynb
L9.ipynb		L9.ipynb
README.md		README.md
project_ideas.ipynb		project_ideas.ipynb
requirements.txt		requirements.txt