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awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

calibre

The official source code repository for the calibre ebook manager

calibre-web

:books: Web app for browsing, reading and downloading eBooks stored in a Calibre database

causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

cpp_primer_answers

《C++ Primer》第五版中文版习题答案

cpp_primer_practice

搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。

cs-books

📚 Computer Science Books 计算机技术类书籍 PDF

data_anlysis_course

this repository is used for some good course

deeplearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

endnote_tutorial_hand_by_hand

手把手教你使用 EndNote X9/NoteExpress

gitskills

gitskills20200211

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

handson-ml2-mine

joyful-pandas

Pandas中文教程

learn_tool

this tool is for novice , vim ,linux, and some useful tool.

learngit

learngit2

learngit20200211

第二次学习git了

machine-learning

Self-implemented machine learning algorithm

machinelearning_zhouzhihua_problemsets

Exercises answers to the book "machine-learning" written by Zhou Zhihua。周志华《机器学习》课后习题，个人解答。各算法都拿numpy和pandas实现了一遍

mathstatscode

Codes for my mathematical statistics course

ml_a_z

neticapy3

NeticaPy3 is a Python 3 wrapper for Netica.

nltk

NLTK Source

pgmpy

Python Library for Inference (Causal and Probabilistic) and learning in Bayesian Networks

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

proxypool

An Efficient ProxyPool with Getter, Tester and Server

py-googletrans

(unofficial) Googletrans: Free and Unlimited Google translate API for Python. Translates totally free of charge.

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media