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A1
A2
A3
Mon 18
09:00
[_] Intro to NumPy
[_] HDF5 is for Lovers
10:45
[_] Pandas
[_] IPython-parallel
01:15
[_] Beautiful Plots With Matplotlib
[_] Bayesian Machine Learning & Python – Naïve Bayes
03:00
[_] Social Network Analysis
04:50
[_] scikit - image
[_] Creating Interactive Applications in Matplotlib
A1
A2
A3
Tue 19
09:15
[_] Learning Python
10:15
[_] Python in an Evolving Enterprise System
[_] Intro to Network Science
11:05
[_] Blaze
[_] UV-CDAT Resharable Analyses and Diagnostics
01:15
[_] PyCascading for Intuitive Flow Processing With Hadoop
[_] Disco: Not Just MapReduce Any More
02:05
[_] Practical Time Series Modeling and Analysis
[_] Wise.io a Machine-Learning Platform
03:20
[_] Scaling Machine Learning in Python
[_] Introduction to Marinexplore
04:10
[_] Data Visualization With Nodebox
[_] Thin Client Data Science
A1
A2
A3
Wed 20
09:00
[_] IPython: a modern vision of interactive computing
10:00
[_] Luigi - Batch Data Processing in Python
[_] Data Wrangling Kung Fu With pandas
10:50
[_] Big Data in Fashion
[_] Dataflow Programming Using Generators and Coroutines
01:05
[_] Zipline in the Cloud: Optimizing Financial Trading Algorithms
[_] Bitdeli - A Platform for Creating Custom Analytics in Your Browser
01:55
[_] Building Analytic Database Engines With Python
[_] How Web APIs and Data-centric Tools Power the Materials Project
03:10
[_] MARS Modeling on the Python Data Stack
[_] Measuring the New Wikipedia Community
04:00
[_] Lighting Fast Cluster Computing with PySpark
[_] Escape from the Curse of the Cluster and the Headache of Hadoop
Veyepar
Video Eyeball Processor and Review