A `for`-loop to stop writing.

• memo

  1 101 2.8 Python

  Decorators that logs stats. (by koaning)

We've added a memlist decorator to our original function from the memo package. This will allow us to configure a place to relay out stats into. Note that the decorator receives an empty list as input. It's this data list that will receive new data.

• Ray

  42 31,101 10.0 Python

  Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  

I've found it useful in many projects. The main example for me is running benchmarks with scikit-learn. I do a lot of NLP and a lot of my components are not serializable with a python pickle which means that I cannot use the standard GridSearch from scikit-learn. You can even combine it with ray to gather statistics from compute happening in parallel. It also plays very nicely with hiplot if you're interested in visualising your statistics.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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