Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
翻译 - 由Wes McKinney撰写的“ Python for Data Analysis”的材料和IPython笔记本，由O'Reilly Media发布
利用Python进行数据分析 第二版 (2017) 中文翻译笔记
A clean, three-column Sphinx theme with Bootstrap for the PyData community
A python package for data structures and algorithms
PyData Cookbook Project
Scikit-Learn Tutorial for PyData Seattle 2015
Notebooks from the Face Recognition Tutorial I gave at PyData Amsterdam
open source for wechat-official-account (ID: PyDataLab)
Materials for my pandas tutorial at PyData 2014, NYC
PyData, The Complete Works of
PyData San Francisco 2016 - ARIMA Tutorial
Added repo for PyData LA 2018 tutorial
Materials for the pandas tutorial at PyData Chicago 2016
PyData-based Sphinx theme from the PyAnsys community
Notebook and slides for my talk at Pydata NYC 2018
A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
code for my "stupid itertools tricks" talk from pydata seattle 2015
Extract data from a wide range of Internet sources into a pandas DataFrame.
翻译 - 从各种Internet来源中提取数据到pandas DataFrame中。
Data analysis and visualization with PyData ecosystem: Pandas, Matplotlib Numpy, and Seaborn
Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle
