Oct. 30, 2022, 10:12 p.m. | /u/JZOSS

Data Science www.reddit.com

I've recently launched "PYTHON CHARTS", a website that provides lots of matplotlib, seaborn and plotly easy-to-follow tutorials with reproducible code, both in English and Spanish.


Link: [https://python-charts.com/](https://python-charts.com/)
Link (spanish): [https://python-charts.com/es/](https://python-charts.com/es/)

​

https://preview.redd.it/v4kwjk5hn0x91.png?width=939&format=png&auto=webp&s=e2b92d7db2d6c63ce4bff55dabe34e96236d646e

The posts are filterable based on the chart type and library:

https://preview.redd.it/4tfvn5prn0x91.png?width=898&format=png&auto=webp&s=e7cba3f1bda4ec05fcf7f1a21489d1811c3e4a30

Each tutorial will guide the reader step by step from a basic to more styled chart:

https://preview.redd.it/yrsnxpdwn0x91.png?width=694&format=png&auto=webp&s=ea772dda73588bbf87326e8ef384d002e0355f76

The site also provides some color tools to copy matplotlib colors both in HEX or by its name. You …

charts code datascience matplotlib plotly python seaborn visualization website

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Analyst

@ Aviva | UK - Norwich - Carrara - 1st Floor

Werkstudent im Bereich Performance Engineering mit Computer Vision (w/m/div.) - anteilig remote

@ Bosch Group | Stuttgart, Lollar, Germany

Applied Research Scientist - NLP (Senior)

@ Snorkel AI | Hybrid / San Francisco, CA

Associate Principal Engineer, Machine Learning

@ Nagarro | Remote, India