티스토리 뷰

 

 


[재잘재잘 팀원 추천] 점프 투 파이썬

https://wikidocs.net/4307

 

01-1 파이썬이란?

`[추천 동영상 강의]` : [https://www.youtube.com/watch?v=6MjXHIYZWRE](https://www.youtube.com/watch?v=6MjXH…

wikidocs.net

 

 

 


[강사님 추천] Python 넷북

https://jakevdp.github.io/PythonDataScienceHandbook/

 

Python Data Science Handbook | Python Data Science Handbook

This website contains the full text of the Python Data Science Handbook by Jake VanderPlas; the content is available on GitHub in the form of Jupyter notebooks. The text is released under the CC-BY-NC-ND license, and code is released under the MIT license.

jakevdp.github.io

 

 

 

 


[강사님 추천] 시각화 관련 서적

https://clauswilke.com/dataviz/

 

Fundamentals of Data Visualization

A guide to making visualizations that accurately reflect the data, tell a story, and look professional.

clauswilke.com

 

 

 

 


[강사님]  pandas 관련

https://pandas.pydata.org/docs/user_guide/style.html

 

Table Visualization — pandas 1.5.3 documentation

Some styling functions are common enough that we’ve “built them in” to the Styler, so you don’t have to write them and apply them yourself. The current list of such functions is: The individual documentation on each function often gives more exampl

pandas.pydata.org

 

 

 

 


[강사님] matplotlib 관련 

https://matplotlib.org/stable/gallery/showcase/anatomy.html

 

Anatomy of a figure — Matplotlib 3.6.3 documentation

Note Click here to download the full example code Anatomy of a figure This figure shows the name of several matplotlib elements composing a figure import numpy as np import matplotlib.pyplot as plt from matplotlib.patches import Circle from matplotlib.path

matplotlib.org

 

 

 

 


[강사님] plotly 관련

https://plotly.com/python/time-series/

 

Time

Over 21 examples of Time Series and Date Axes including changing color, size, log axes, and more in Python.

plotly.com

 

 

 

 


[강사님] Seaborn

https://seaborn.pydata.org/tutorial/data_structure.html

 

Data structures accepted by seaborn — seaborn 0.12.2 documentation

Data structures accepted by seaborn As a data visualization library, seaborn requires that you provide it with data. This chapter explains the various ways to accomplish that task. Seaborn supports several different dataset formats, and most functions acce

seaborn.pydata.org

 

 

 

 

 

 

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