# \[ANN\] DataFramesMeta 0.8.0 release

**URL:** https://discourse.julialang.org/t/ann-dataframesmeta-0-8-0-release/64416
**Category:** Data
**Created:** [July 10, 2021, 1:32pm UTC](https://discourse.julialang.org/t/ann-dataframesmeta-0-8-0-release/64416 "2021-07-10T13:32:09Z")
**Posts on this page:** 1
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### Author: ![George9000](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/george9000/32/23619_2.png) [@George9000](https://discourse.julialang.org/u/George9000)
#### Post date: [July 10, 2021, 8:16pm UTC](https://discourse.julialang.org/t/ann-dataframesmeta-0-8-0-release/64416/3 "2021-07-10T20:16:58Z")

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Thank you. DataFrames is such a key library for those of us coming over from using R for data analysis. However, there is a learning curve. I had gotten used to the concise syntax and speed of `data.table` in R. When I first began using DataFrames it seemed by comparison overly complicated and opaque. Many times, it seemed one was tripping over their own shoelaces to achieve tasks which were trivial in `data.table`. Nevertheless, there is an underlying elegance and cleanness to Julia which kept me going. DataFrames would benefit from something like [this](https://rdatatable.gitlab.io/data.table/articles/datatable-intro.html), and perhaps I will try to put together an equivalent in DataFrames. I have pored over B. Kamiński’s blog posts many times. Every package, blog post, and documentation aid that makes DataFrames easier to understand and use increases adoption.

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