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| author | Ben Quigley <benquigleyconsulting@gmail.com> | 2018-02-27 09:38:40 -0500 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2018-02-27 09:38:40 -0500 |
| commit | 27bf16ac1289cde688066a624a264432ba4baffa (patch) | |
| tree | 9d4a74e05a59bd34139f0cca0af02d9a8e2bffce | |
| parent | 999e0ce3d7bdcfdb87a9c0ca7515efce2eff50a2 (diff) | |
IPython notebooks are Jupyter notebooks now
IPython still exists, but the notebooks have been spun off into their own project called Jupyter. This file change:
* updates the pip install queue so that Jupyter gets installed
* removes the vague "get set up with IPython" (pip will install IPython with Jupyter), and
* replaced the suggestion to work in "the IPython notebook" with "a Jupyter notebook".
| -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 ==== |