I discovered that the fastest way to create a Pandas DataFrame from a CSV file is to actually use Polars

This page summarizes the projects mentioned and recommended in the original post on /r/Python
book-notes

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.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
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  • learning-notes

    Notes on books I read, talks I watch, articles I study, and papers I love

    • Wow defensive. Do what works for you, but there are general approaches that people use. This is a good reference text: https://github.com/keyvanakbary/learning-notes/blob/master/books/designing-data-intensive-applications.md

  • db-benchmark

    reproducible benchmark of database-like ops (by duckdblabs)

  • 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.

    InfluxDB logo
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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