【IPython notebook教程】《Efficient Data Analysis with the IPython Notebook》 GitHub:O网页链接
【开源:(Python)NLP快速流程(原型)库broca】"a Python library for rapidly experimenting with new natural language processing (NLP) approaches"O网页链接GitHub:O网页链接
【高效的Python数据分析框架Ibis】O网页链接GitHub:O网页链接通过IPN了解Ibis:O网页链接Slide:《Ibis: Scaling the Python Data Experience》O网页链接云:O网页链接
【基于Pandas/Matplotlib的高收入数据分析】《Exploring the Top Incomes Database with Pandas and Matplotlib》by Ramiro GómezO网页链接
【幻灯:(PyData 2015)机器学习系统观】《PyData 2015 Keynote: "A Systems View of Machine Learning"》by Joshua BloomO网页链接云:O网页链接
【Kaggle代码(Python):分类问题重要变量的筛选和可视化】《Visualizing important variables》by saihttam in Caterpillar Tube PricingO网页链接
【面向数据科学的NumPy/SciPy/Pandas使用速查表】《NumPy/SciPy/Pandas Cheat Sheet》O网页链接云:O网页链接
【Python/Pandas/Bokeh数据分析/可视化实例】《Data Analysis with Python, Pandas, and Bokeh》by Chris MetcalfO网页链接GitHub:O网页链接
【八个工具看Python数据生态圈的最新趋势】《Eight Tools That Show What’s on the Horizon for the Python Data Ecosystem》by Bo Moore Including:SFrame&SGraph/Bokeh/Dask/Ibis/Splash/Petuum/Flink/PyxleyO网页链接
