[Peer-to-peer technology] Python programmers, Tom, must read Data Summary (4) and python Data Summary
This article introduces basic learning materials and a little bit of advanced information from "Python programmer Summary (1) to (3, today, I have collected 5 articles with examples of dry goods. Let's take a look! In addition, bloggers who prefer to write blogs can apply to addCommunication Group of engineers: 391519124, Share your blog posts, and share technical skills with the scalpers ~
I. Interesting python materials on GitHub
Summarizes a variety of interesting Python information on github, which is worth collecting
Ii. unbalanced classification/SVM/instant forest/Decision Tree instance guide # python
The English version of Python explains unbalanced classification/SVM/instant forest/Decision Tree instance guide, which must be read by high-level programmers.
Iii. Python example tutorial for Data Science
Python is a powerful language for data collection. This English version is an original interpretation of Python's development direction for data science.
4. Interactive Data Visualization, implemented using Bokeh in Python
Interactive Data Visualization, implemented using Bokeh in Python
V. Python Cookbook (Chinese version 1.0.2, Third Edition) released
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