2,900 page Manual about Pandas [pdf]

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • rover

    Simple, powerful data frames for Ruby (by ankane)

  • For dataframes libraries in Ruby, there are Rover[0] and Daru[1]:

    [0]:https://github.com/ankane/rover

    [1]:https://github.com/SciRuby/daru

  • daru

    Data Analysis in RUby

  • For dataframes libraries in Ruby, there are Rover[0] and Daru[1]:

    [0]:https://github.com/ankane/rover

    [1]:https://github.com/SciRuby/daru

  • 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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  • krangl

    Discontinued krangl is a {K}otlin DSL for data w{rangl}ing

  • > And what's the alternative, Excel?

    Take this with a grain of salt from someone who needs data manipulation occasionally every now and then (as opposed to being a full time number-cruncher, data-scientist, statistician etc.), using krangl[1] for Kotlin has been a great experience.

    I was drawn to this library because I use Kotlin in my dayjob for backend development, but I love how well Kotlin's succinct syntax & features like extension functions lends itself to data transformation & ETL kind of use cases.

    Also it doesn't hurt that JVM has a plethora of libraries available for things like DB access, plotting, etc.

    I am sure that Pandas has many features I am unaware of, and for a lot of people the high-ish startup time can be a deterrant, but for most of my day to day data munging the combination of jbang, krangl & kravis has been a pretty good fit.

    [1] https://github.com/holgerbrandl/krangl

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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