Stephen Simmons - Pandas from the inside - YouTube
https://www.youtube.com/watch?v=Dr3Hv7aUkmU
2016年5月11日发布
PyData London 2016
[THIS SESSION WILL BEGIN AT 11:00] Pandas is great way to quickly get started with data analysis in Python: intuitive DataFrames from R; fast numpy arrays under the hood; groupby like SQL. But this familiarity is deceptive and new Pandas users often get stuck on things they feel should be simple. This tutorial/talk takes a look inside Pandas to see how DataFrames actually work when indexing, grouping and joining tables.
We briefly set the scene with a map of the evolving Pandas landscape for large scale analytics. This is all very exciting and brings many new options. However for many users, Pandas' sweet spot remains much smaller scale. For this talk, we focus in on the DataFrame and how it actually works.
We will dig deeper and deeper into the components of a DataFrame, including Series and Categorical, DataFrame, Index, MultiIndex and GroupBy objects. For common operations like selecting rows, grouping, subtotals and joins, we will see what internal structures are created and how they fit together. From this, get a better understanding of the various API layers, and how to use them effectively.
We conclude the talk with a jump back to large scale data analysis and a quick look at how a distributed storage solution like Dask solves one of these problems.
Slides available here: https://github.com/SteveSimmons/PyDat... https://github.com/SteveSimmons/PyData-PandasFromTheInside/blob/master/pfi.pdf
GitHub Repo: https://github.com/SteveSimmons/PyDat... https://github.com/SteveSimmons/PyData-PandasFromTheInside
Brandon Rhodes - Pandas From The Ground Up - PyCon 2015 - YouTube
https://www.youtube.com/watch?v=5JnMutdy6Fw
2015年4月11日发布
"Speaker: Brandon Rhodes
The typical Pandas user learns one dataframe method at a time, slowly scraping features together through trial and error until they can solve the task in front of them. In this tutorial you will re-learn how to think about dataframes from the ground up, and discover how to select intelligently from their abilities to solve your data processing problems through direct and deliberately-chosen steps.
Slides can be found at: https://speakerdeck.com/pycon2015 and https://github.com/PyCon/2015-slides"
Time Series Data Analysis with pandas - YouTube
https://www.youtube.com/watch?v=0unf-C-pBYE
2012年8月19日发布
Wes McKinney
In this tutorial, I'll give a brief overview of pandas basics for new users, then dive into the nuts of bolts of manipulating time series data in memory. This includes such common topics date arithmetic, alignment and join / merge method
CS50 2016 - Week 8 - Python - YouTube
https://www.youtube.com/watch?v=5aP9Bl9hcqI
CS50系列是哈弗大学的系列讲座
CS50 2016 - Week 9 - SQL - YouTube
https://www.youtube.com/watch?v=hporRfjFISo