programming
2018-06-21
Make Your Own Neural Network
2017-08-10
Learning Cypher : Summary
2016-05-02
Learn Git in a Month of Lunches : Review
2016-01-13
The Master Algorithm : Book Summary
2015-09-13
Compiling RR book
2015-09-11
Event History Analysis With R
2015-09-09
A Multi-Language Computing Environment for Literate programming and Reproducible research
2015-09-09
Active Documents with Org-mode
2015-06-14
MCMC for Item Response Models
2015-06-10
AR(2) estimation in WinBUGS and JAGS
2015-05-17
R Packages : Book Review
2015-04-19
Simulating NHPP in R
2015-04-12
Quantitative Trading with R : Book Review
2015-03-28
Digital Dice : Book Review
2015-01-06
Advanced R : Book Review
2014-12-05
Hands-On Programming with R
2014-12-02
User vs. Programmer
2014-10-18
Using Emacs for 3 decades
2014-08-13
“caret” author
2014-05-11
Reproducible Research @ Coursera
2014-05-06
Knitr
2014-04-29
Data Smart : Summary
2014-03-11
John Chambers on S
2014-01-04
Detexify
2013-12-05
Dynamic Documents with R and knitr – Summary
2013-08-10
Interactive books!
2013-08-09
Algorithmic Adventures : Review
2013-07-26
Algorithms–Review Part I
2013-07-07
R for Dummies : Review
2013-06-07
Data Structures and Algorithms using Python
2013-01-20
Automate this : Review
2012-08-17
Document before Coding
2012-07-22
Linear Models with R : Summary
2012-04-07
IPython Notebook
2012-04-02
Pandas
2012-03-31
Matplotlib for Python Developers : Summary
2012-03-28
What killed Smalltalk could kill Ruby, too
2012-03-25
NumPy 1.5 – Summary
2012-03-16
Dive Into Python : Summary
2012-03-16
TeXworks
2012-03-14
A Byte of Python
2012-02-29
Python :-)
2012-02-26
Dexy–make|docs|sexy
2012-02-24
Python : Summary