From 41a2c59e2a0acb7c6d81d066e044a80dc1d718ee Mon Sep 17 00:00:00 2001 From: franc Date: Fri, 1 Sep 2023 07:53:55 -0400 Subject: [PATCH 1/3] delete README.txt add new README version add alternative Pandas Cheat Sheets learning --- doc/cheatsheet/README.md | 25 +++++++++++++++++++++++++ doc/cheatsheet/README.txt | 8 -------- 2 files changed, 25 insertions(+), 8 deletions(-) create mode 100644 doc/cheatsheet/README.md delete mode 100644 doc/cheatsheet/README.txt diff --git a/doc/cheatsheet/README.md b/doc/cheatsheet/README.md new file mode 100644 index 0000000000000..9e0adbd39b132 --- /dev/null +++ b/doc/cheatsheet/README.md @@ -0,0 +1,25 @@ +# Pandas Cheat Sheet + +The Pandas Cheat Sheet was created using Microsoft Powerpoint 2013. +To create the PDF version, within Powerpoint, simply do a "Save As" +and pick "PDF" as the format. + +This cheat sheet was inspired by the [RStudio Data Wrangling Cheatsheet](https://www.rstudio.com/wp-content/uploads/2015/02/data-wrangling-cheatsheet.pdf), +written by Irv Lustig, [Princeton Consultants](https://www.princetonoptimization.com/). + +| Topic | PDF | PPT | +|------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| +| Pandas_Cheat_Sheet | | | +| Pandas_Cheat_Sheet_JA | | | + + +**Alternative** + +Alternatively, if you want to complement your learning, you can use the Pandas Cheat sheets +developed by [DataCamp](https://www.datacamp.com/) in "PDF", "Google Colab" and "Streamlit" formats. + +| Topic | PDF | Streamlit | Google Colab | +|-------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| +| Pandas | | | Open In Colab | + + diff --git a/doc/cheatsheet/README.txt b/doc/cheatsheet/README.txt deleted file mode 100644 index c57da38b31777..0000000000000 --- a/doc/cheatsheet/README.txt +++ /dev/null @@ -1,8 +0,0 @@ -The Pandas Cheat Sheet was created using Microsoft Powerpoint 2013. -To create the PDF version, within Powerpoint, simply do a "Save As" -and pick "PDF" as the format. - -This cheat sheet was inspired by the RStudio Data Wrangling Cheatsheet[1], written by Irv Lustig, Princeton Consultants[2]. - -[1]: https://www.rstudio.com/wp-content/uploads/2015/02/data-wrangling-cheatsheet.pdf -[2]: https://www.princetonoptimization.com/ From fbfdb72454811abbf43e1f5ed5b143b7256ba1b0 Mon Sep 17 00:00:00 2001 From: franc Date: Fri, 1 Sep 2023 08:51:27 -0400 Subject: [PATCH 2/3] modify README.txt --- doc/cheatsheet/README.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/doc/cheatsheet/README.md b/doc/cheatsheet/README.md index 9e0adbd39b132..0815ca4dd6c46 100644 --- a/doc/cheatsheet/README.md +++ b/doc/cheatsheet/README.md @@ -4,8 +4,7 @@ The Pandas Cheat Sheet was created using Microsoft Powerpoint 2013. To create the PDF version, within Powerpoint, simply do a "Save As" and pick "PDF" as the format. -This cheat sheet was inspired by the [RStudio Data Wrangling Cheatsheet](https://www.rstudio.com/wp-content/uploads/2015/02/data-wrangling-cheatsheet.pdf), -written by Irv Lustig, [Princeton Consultants](https://www.princetonoptimization.com/). +This cheat sheet, originally written by Irv Lustig, [Princeton Consultants](https://www.princetonoptimization.com/), was inspired by the [RStudio Data Wrangling Cheatsheet](https://www.rstudio.com/wp-content/uploads/2015/02/data-wrangling-cheatsheet.pdf). | Topic | PDF | PPT | |------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| From 72ec5f5ec08c7c25dea436eaaac7ccc56e77f6b5 Mon Sep 17 00:00:00 2001 From: franc Date: Fri, 1 Sep 2023 09:23:57 -0400 Subject: [PATCH 3/3] modify README.md 1.1 --- doc/cheatsheet/README.md | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/doc/cheatsheet/README.md b/doc/cheatsheet/README.md index 0815ca4dd6c46..6c33de104ed90 100644 --- a/doc/cheatsheet/README.md +++ b/doc/cheatsheet/README.md @@ -14,11 +14,9 @@ This cheat sheet, originally written by Irv Lustig, [Princeton Consultants](http **Alternative** -Alternatively, if you want to complement your learning, you can use the Pandas Cheat sheets +Alternatively, if you want to complement your learning, you can use the Pandas Cheat sheets developed by [DataCamp](https://www.datacamp.com/) in "PDF", "Google Colab" and "Streamlit" formats. | Topic | PDF | Streamlit | Google Colab | |-------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | Pandas | | | Open In Colab | - -