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| author | Pratik Karki <predatoramigo@gmail.com> | 2018-02-28 13:44:18 +0545 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2018-02-28 13:44:18 +0545 |
| commit | 3fed4b118a12cbafde0c3b289523501f781c9d3e (patch) | |
| tree | 26c49b923e270000037a77b387321290cf1121b4 /pythonstatcomp.html.markdown | |
| parent | 728a09da67e23c3eb910a78a9ad06240dd4aa7c6 (diff) | |
| parent | 27bf16ac1289cde688066a624a264432ba4baffa (diff) | |
Merge pull request #3068 from BenQuigley/patch-1
[pythonstatcomp/en] IPython notebooks are Jupyter notebooks now
Diffstat (limited to 'pythonstatcomp.html.markdown')
| -rw-r--r-- | pythonstatcomp.html.markdown | 7 |
1 files changed, 4 insertions, 3 deletions
diff --git a/pythonstatcomp.html.markdown b/pythonstatcomp.html.markdown index 79bbcd8d..6dde1cf0 100644 --- a/pythonstatcomp.html.markdown +++ b/pythonstatcomp.html.markdown @@ -13,10 +13,11 @@ This is a tutorial on how to do some typical statistical programming tasks using # 0. Getting set up ==== -""" Get set up with IPython and pip install the following: numpy, scipy, pandas, +""" To get started, pip install the following: jupyter, numpy, scipy, pandas, matplotlib, seaborn, requests. - Make sure to do this tutorial in the IPython notebook so that you get - the inline plots and easy documentation lookup. + Make sure to do this tutorial in a Jupyter notebook so that you get + the inline plots and easy documentation lookup. The shell command to open + one is simply `jupyter notebook`, then click New -> Python. """ # 1. Data acquisition ==== |