Solve KeyboardRandomPool not found in Crypto.Util.randpool

Errors like Crypto.Util.randpool.KeyboardRandomPool not found may occur if you update your pycrypto to a newer version(Like 2.3). Due to this article, randpool.KeyboardRandomPool has been marked deprecated in previous version. We should use Crypto.Random instead.

Just change things like:
Crypto.Util.randpool.KeyboardRandomPool().get_bytes(1)

to:
Crypto.Random.get_random_bytes(1)

Comments

A simple implementation of DTW(Dynamic Time Warping) in C#/python

DTW(Dynamic Time Warping) is a very useful tools for time series analysis. This is a very simple (but not very efficient) c# implementation of DTW, the source code is available at https://gist.github.com/1966342 . Use the program as below: double[] x = {9,3,1,5,1,2,0,1,0,2,2,8,1,7,0,6,4,4,5}; double[] y = {1,0,5,5,0,1,0,1,0,3,3,2,8,1,0,6,4,4,5}; SimpleDTW dtw = new SimpleDTW(x,y); dtw.calculateDTW(); The python implementation is available at https://gist.github.com/3265694 . from python-dtw import Dtw import math dtw = Dtw([1, 2, 3, 4, 6], [1, 2, 3, 5], distance_func=lambda x, y: math.fabs(x - y)) print dtw.calculate() #calculate the distance print dtw.get_path() #calculate the mapping path

Install mysql-python with mariadb

mysql-python requires libmysqlclient-dev in ubuntu, but the installation of mariadb will have the lib with unmet dependenccies, so the error of "mysql_config not found" may occurred if you install mysql-python via pip. The case is that mariadb has a compatible package, if you have the ppa setup as in http://downloads.mariadb.org/ . Just "sudo apt-get install libmariadbclient-dev".

PrefixSpan source code in python

The prefixspan is a key algorithm for mining sequential patterns. I have implemented the algorithm in Python. The algorithm is based on the following paper: Jian Pei, Jiawei Han, Senior Member, Behzad Mortazavi-asl, Jianyong Wang, Helen Pinto, Qiming Chen, Umeshwar Dayal. Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach. IEEE Transactions on Knowledge and Data Engineering, 2004. or their conference paper You may download the source code at the following addresses: Link1

Data Matters

Search This Blog