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| author | Boris Verkhovskiy <boris.verk@gmail.com> | 2024-04-06 08:33:50 -0700 |
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| committer | Boris Verkhovskiy <boris.verk@gmail.com> | 2024-04-06 08:33:50 -0700 |
| commit | 3e687f1a8ccb1cd0d52a966005551d528ca141df (patch) | |
| tree | 30d433ba19ec49808cc0f0de8a161835ad5f29c9 /pythonstatcomp.html.markdown | |
| parent | 9fa4b5af80f1cd7fe2469c198d02a21e4f8884a1 (diff) | |
Remove leading and trailing empty lines in code blocks
Diffstat (limited to 'pythonstatcomp.html.markdown')
| -rw-r--r-- | pythonstatcomp.html.markdown | 4 |
1 files changed, 0 insertions, 4 deletions
diff --git a/pythonstatcomp.html.markdown b/pythonstatcomp.html.markdown index 4cff3535..7cea96f6 100644 --- a/pythonstatcomp.html.markdown +++ b/pythonstatcomp.html.markdown @@ -8,9 +8,6 @@ contributors: This is a tutorial on how to do some typical statistical programming tasks using Python. It's intended for people basically familiar with Python and experienced at statistical programming in a language like R, Stata, SAS, SPSS, or MATLAB. ```python - - - # 0. Getting set up ==== """ To get started, pip install the following: jupyter, numpy, scipy, pandas, @@ -226,7 +223,6 @@ sns.lmplot("BirthY", "EstAge", data=hre) To see a version of the Holy Roman Emperors analysis using R, see - http://github.com/e99n09/R-notes/blob/master/holy_roman_emperors_dates.R """ - ``` If you want to learn more, get _Python for Data Analysis_ by Wes McKinney. It's a superb resource and I used it as a reference when writing this tutorial. |