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tl;dr: We use dask to accelerate parameter searches over machine learning pipelines by naming consistently. Read dask sklearn dasklearn Wed 16 September 2015
Analyzing 1.7 Billion Reddit Comments with Blaze and Impala by Daniel Rodriguez and Kristopher Overholt Blaze is a Python library and interface to query data on different storage systems. Blaze works by translating a subset of modified NumPy and Pandas-like syntax to databases and other computing systems. Blaze gives Python users a familiar interface to query data living in other data storage systems such as SQL databases, NoSQL data stores, Spark, Hive, Impala, and raw data files such as CSV, JSON, and HDF5. Hive Read blaze impala hive reddit Tue 08 September 2015
Analyzing Reddit Comments with Dask and Castra by Jim Crist The scientific Python ecosystem is great for doing data analysis. Packages like NumPy and Pandas provide an excellent interface to doing complicated computations on datasets. With only a few lines of code one can load some data into a Pandas DataFrame, run some analysis, and generate a plot of the results. However, this workflow starts to falter when working with data that's larger than the RAM on your computer. At this point people often move their workflow from a Python based one into some other larger system like Spark or Hadoop. These are great at what they do, but for small problems are a bit overkill Read dask castra reddit
Talks and Tutorials
- Scale your data, not your process. Welcome to the Blaze ecosystem.
EuroPython 2015, Christine Doig
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