From 75f1f7fb0b652862e7b8023ce67251f61fc8d07a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?T=C3=BCrei=20D=C3=A9nes?= Date: Mon, 15 Mar 2021 19:47:17 +0100 Subject: [PATCH] siuba book --- README.md | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index b557cfd..8cde80e 100644 --- a/README.md +++ b/README.md @@ -369,7 +369,14 @@ give an introduction or insight into specific topics. more convenient handling of data tables, i.e. here you can have row and column names, methods for convenient rearranging and filtering your data. You can imagine a programmable excel sheet, or something - like data frames in R. + like data frames in R. It's design is not so nice as its R counterpart + dplyr, also suffers from performance issues. +- https://siuba.readthedocs.io/en/latest/ - A dplyr inspired data analysis + package. The interface is much more intuitive and nicer than pandas. + Authored by Michael Chow. +- https://learn.siuba.org/intro-data-science/ - An introductory book for + data science in Python, using siuba (Python's dplyr equivalent) from + Michael Chow. - https://jupyter.org/ - Interactive Python environment in the browser: Python runs in the background on your machine, and you write the code and get the output in the browser, in so