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authorPratik Karki <predatoramigo@gmail.com>2018-02-28 13:44:18 +0545
committerGitHub <noreply@github.com>2018-02-28 13:44:18 +0545
commit3fed4b118a12cbafde0c3b289523501f781c9d3e (patch)
tree26c49b923e270000037a77b387321290cf1121b4
parent728a09da67e23c3eb910a78a9ad06240dd4aa7c6 (diff)
parent27bf16ac1289cde688066a624a264432ba4baffa (diff)
Merge pull request #3068 from BenQuigley/patch-1
[pythonstatcomp/en] IPython notebooks are Jupyter notebooks now
-rw-r--r--pythonstatcomp.html.markdown7
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 ====