Python for Data Analysis, 3rd Edition

Materials and IPython notebooks for Python for Data Analysis study session at Arewa Data Science Group

chapter	recording
Chapter 1: Preliminaries	Recording
Chapter 2: Python Basics, Ipthon and JupyterNotebooks :	Recording

Name		Name	Last commit message	Last commit date
Latest commit History 17 Commits
.vscode		.vscode
__pycache__		__pycache__
examples		examples
images		images
.DS_Store		.DS_Store
.gitignore		.gitignore
001_chap1.ipynb		001_chap1.ipynb
002_ch02.ipynb		002_ch02.ipynb
2022-09-30-20-13-31.png		2022-09-30-20-13-31.png
DataPrep_Demo.ipynb		DataPrep_Demo.ipynb
NMA_application.ipynb		NMA_application.ipynb
README.md		README.md
add.py		add.py
appa.ipynb		appa.ipynb
ch03.ipynb		ch03.ipynb
ch04.ipynb		ch04.ipynb
ch05.ipynb		ch05.ipynb
ch06.ipynb		ch06.ipynb
ch07.ipynb		ch07.ipynb
ch08.ipynb		ch08.ipynb
ch09.ipynb		ch09.ipynb
ch10.ipynb		ch10.ipynb
ch11.ipynb		ch11.ipynb
ch12.ipynb		ch12.ipynb
ch13.ipynb		ch13.ipynb
ch14.ipynb		ch14.ipynb
dataframe_dictionary.png		dataframe_dictionary.png
datall.csv		datall.csv
df_answer.csv		df_answer.csv
figpath.pdf		figpath.pdf
figpath.png		figpath.png
figpath.svg		figpath.svg
hello_world.py		hello_world.py
mydata.csv		mydata.csv
pythonml.code-workspace		pythonml.code-workspace
requirements.txt		requirements.txt
some_module.py		some_module.py

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