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authorhyphz <drmoose94@gmail.com>2017-07-18 17:56:42 +0100
committerhyphz <drmoose94@gmail.com>2017-07-18 17:56:42 +0100
commit5ab5cb9800822d607be2c6ac943377811db98158 (patch)
tree3c804707822744c20da1de54ff60fc8c3197781b /pythonstatcomp.html.markdown
parent62102d02992f83b3a1fb745a39f36332dd4435b7 (diff)
parent6e7c5c793327f4a63b13e555894597915ca91fda (diff)
Merge remote-tracking branch 'adambard/master'
Diffstat (limited to 'pythonstatcomp.html.markdown')
-rw-r--r--pythonstatcomp.html.markdown9
1 files changed, 4 insertions, 5 deletions
diff --git a/pythonstatcomp.html.markdown b/pythonstatcomp.html.markdown
index f8d83b98..8ee3aa64 100644
--- a/pythonstatcomp.html.markdown
+++ b/pythonstatcomp.html.markdown
@@ -1,8 +1,8 @@
---
-language: Statistical computing with Python
+category: tool
+tool: Statistical Computing with Python
contributors:
- ["e99n09", "https://github.com/e99n09"]
-filename: pythonstatcomp.py
---
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.
@@ -150,9 +150,8 @@ ggplot(aes(x="age",y="weight"), data=pets) + geom_point() + labs(title="pets")
url = "https://raw.githubusercontent.com/e99n09/R-notes/master/data/hre.csv"
r = requests.get(url)
fp = "hre.csv"
-f = open(fp, "wb")
-f.write(r.text.encode("UTF-8"))
-f.close()
+with open(fp, "wb") as f:
+ f.write(r.text.encode("UTF-8"))
hre = pd.read_csv(fp)