Everything you need to know about pandas 2.0.0!

This page summarizes the projects mentioned and recommended in the original post on /r/Python
Machine Learning Data Science Distributed Systems Numpy Pandas

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  • xorbits

    Scalable Python DS & ML, in an API compatible & lightning fast way.

    • On the other hand, people are also working on distributed dataframe libs. Xorbits Pandas, for example, has rewritten most of the Pandas functions with parallel manner. This allows Pandas to utilize multiple cores, machines, and even GPUs to accelerate DataFrame operations. With this capability, even data on the scale of 1 terabyte can be easily handled. Below are the test results for TPC-H 1T data volume.

  • InfluxDB

    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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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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