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DS363 Exploratory Data Analysis with Python
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DS363 Exploratory Data Analysis with Python
1.
Why use Python
•
PYPL PopularitY of Programming Language
•
The TIOBE Programming Community index
2.
Where to code with Python
2.1
Online Editors in web-browser
1.
We will use the online notebook service
deepnote
, please sign up at
https://deepnote.com/
2.
Open the example project on wine
quality
:
https://deepnote.com/workspace/fang-wan-9f34fd68-36fc-4869-b2cb-bda9010c988b/project/Exploratory-Data-Anlysis-4216a0b0-3afc-4a2a-854d-2535d81a10a1/notebook/winequality_white-d2f72377073b40b58e2dc09b70a4469c
3.
AI-aided coding
2.2
(Optional) Local Python Notebook
1.
Install Anaconda on your
Mac
:
Installing on macOS — Anaconda documentation
2.
Download two files and put them in the folder /Users/xxx/Documents/