Why Pandas feels clunky when coming from R

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  • seaborn

    Statistical data visualization in Python

  • While it’s not perfect and it’s not ggplot2, Seaborn is definitely a big improvement over bare matplotlib. You can still use matplotlib to modify the plots it spits out if you want to but the defaults are pretty good most of the time.

    https://seaborn.pydata.org/

  • TidyverseSkeptic

    An opinionated view of the Tidyverse "dialect" of the R language.

  • I just don't get these to be honest -- besides the fact that author missed simple things like `df.groupby('var',as_index=False)`, isn't this obviously arbitrary "this is easier my way" complaints? (I did R before all the chaining stuff was popular, and I wouldn't stuff everything into a single command like that even now. It isn't like you get lazy evaluation or any special data processing magic.)

    So I get people love chaining and tidyverse, good for you, I don't. But at least I can acknowledge that my way (or this way) people have different preferences and one is not intrinsically easier.

    Norm Matloff has a blog where he essentially just argues the opposite of all the tidyverse stuff, https://github.com/matloff/TidyverseSkeptic, but it is the same idea in reverse to me (one is not obviously easier to learn than the other IMO).

  • 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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