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courses:b4b33rph:prednasky
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20171024-piskvorky.zip
2018/07/17 13:25
1.3 KB
builtins.pdf
2018/07/17 13:25
151.7 KB
clean-code-handouts.pdf
2018/07/17 13:25
159.5 KB
clean-code-slides.pdf
2018/07/17 13:25
1.7 MB
data-analysis-with-builtins.pdf
2018/07/17 13:25
169.8 KB
exceptions.pdf
2018/07/17 13:25
152.9 KB
files.pdf
2018/11/20 09:03
112.2 KB
intro.pdf
2018/07/17 13:25
263.9 KB
iterators_generators.pdf
2018/07/17 13:25
145.6 KB
k-n-p-prednaska-2018-10-09.zip
2018/10/09 11:09
1.2 KB
kamen-nuzky-papir.pdf
2018/10/09 08:58
1.7 MB
lecture03-intro.pdf
2018/10/15 21:24
93.7 KB
lecture03-python-stones.pdf
2018/10/16 08:37
1.7 MB
lecture04-python-stones.pdf
2018/10/23 08:41
835.6 KB
lecture05-python-stones.pdf
2018/10/30 07:47
545.7 KB
modules.pdf
2018/07/17 13:25
197 KB
pd.pdf
2018/07/17 13:25
198.7 KB
piskvorky-master-3816883855306cf6b0f042312d2290e6cd678f61.zip
2018/07/17 13:25
3.6 KB
python-intro.pdf
2018/07/17 13:25
253.1 KB
refactoring-livedemo.zip
2018/07/17 13:25
1.5 KB
refactoring.pdf
2018/07/17 13:25
410.6 KB
rph-final.pdf
2019/01/10 15:02
80.2 KB
spam-intro-handouts.pdf
2018/07/17 13:25
394.3 KB
spam-intro-slides.pdf
2018/07/17 13:25
3 MB
testing.pdf
2018/11/13 12:38
440.4 KB
unit-testing-handouts.pdf
2018/07/17 13:25
97.8 KB
unit-testing-slides.pdf
2018/07/17 13:25
1.3 MB
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courses:b4b33rph:prednasky:lecture05-python-stones.pdf
2018/07/17 13:25
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2018/10/30 07:47
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svobodat
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2018/10/30 07:47
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lecture05-python-stones.1531826708.pdf
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Date:
2018/10/30 07:47
Filename:
lecture05-python-stones.pdf
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546KB