pandas-tutorial

Beginner guide to data wrangling with Pandas and advance concepts on scaling pandas for large datasets

Requirements

Anaconda (py 3.6)

Name		Name	Last commit message	Last commit date
Latest commit History 39 Commits
Solutions		Solutions
datasets		datasets
img		img
01 Basics - File Reads.ipynb		01 Basics - File Reads.ipynb
02 Subsetting and Slicing.ipynb		02 Subsetting and Slicing.ipynb
03 Group by - Aggregates.ipynb		03 Group by - Aggregates.ipynb
04 Merge.ipynb		04 Merge.ipynb
05 Visualization.ipynb		05 Visualization.ipynb
06 Operations and Custom Functions.ipynb		06 Operations and Custom Functions.ipynb
07 Scaling - Optimising memory usage.ipynb		07 Scaling - Optimising memory usage.ipynb
08 Scaling - Numba for Compilation Optimisation.ipynb		08 Scaling - Numba for Compilation Optimisation.ipynb
09 Scaling - Dask.ipynb		09 Scaling - Dask.ipynb
README.md		README.md
_config.yml		_config.yml
daskcheatsheet.pdf		daskcheatsheet.pdf
pandas_help.py		pandas_help.py