Report for Pycon tw 2013. I am Japanese.

1. Report for Pycon tw
06/08/2013 Wako.R
showyou

2. Datamining Engineer
Work
● Maintain Hadoop
● Maintain BI tool
● Hive, Pig, ...
PRML reading circle
Like Python
Who am I?

3. ● Talk about foreign Conference
● Not talk about R, but talk about Data science
● Let Japanese makes slide in English
The aim of report

4. Pycon tw 2013
500people
Mainly
academic?
Academia
Cinica@Taip
ei

5. Talk about:
1. Python 3(difference from Python2)
2. Algorithm
3. Collect data
Keynote

6. cross validation
sklearn.cross_validation
Python for Data scientist
Training
CV
f=kx

7. Boosting
ensemble.GradientBoostingRegressor?
example:
Mean for a data set which contains outlier
data set -> sampling some data points, calculate
mean(=a learner) ... do N times
Pycon for Data scientist

8. http://www.slideshare.net/jimmy_lai/big-data-analysis-
in-python
Bigdata with python

9. Python has many libraries for scientist.
Scipy, Numpy, Scikit, Pandas,
Disco - Lightweight Map Reduce
NLTK - Natural Language ToolKit
Pandas - Dataframe
StatsModel - data structure
Matplotlib - Plot method of R
NetworkX http://networkx.github.
io/documentation/latest/gallery.html
Bigdata with python(2)

10. ● Stuff of Disqus
● Sentry https://getsentry.com/welcome/
● Redis
Scale

11. ● R is good language, but Python become
statistical/machine-learning programing language
● Especially, a half of session talked about numpy,
data manipulation, etc...
● a half of session shows the slide written in
English
○ In Japan, how many people?
My impression

12. Talked about pycon tw 2013 from datamining
engineer view.
"Numpy"
Conclusion