PA196: Pattern Recognition Exercises: Sept. 17, 2014 Dr. Vlad Popovici popovici@iba.muni.cz Institute of Biostatistics and Analyses Masaryk University, Brno Vlad PA196: Pattern Recognition Python environment the easiest is to use a "distribution" of Python suggestion/recommendation: Anaconda http://www.continuum.io/ Python 2 vs Python 3: for the exercises in the course, there should be (almost) no difference starting with a minimal distribution: use Miniconda: http://conda.pydata.org/miniconda.html: pick the right installer (e.g. 64 bit) Vlad PA196: Pattern Recognition Example: download the "Python 3.4/64 bit" version of Miniconda it may require chmod +x Miniconda3-3.6.0-Linux-x86_64.sh run the installer even though the base distribution is Python 3.4 you can still have Python 2.7 installed as well browse through the documentation with conda install anaconda you will get all the packages as in the basic "Anaconda"; alternatively you can install them on a as-needed basis install the machine learning kit: conda install scikit-learn Vlad PA196: Pattern Recognition About Python language tons of source of information quick introduction: https://docs.python.org/2/tutorial/ more detailed - but free book: http://www.diveintopython.net/ Vlad PA196: Pattern Recognition IPython great tool for interactive sessions with Python www.ipython.org you can have mixed code, text and results in the same notebook, like in Mathematica try: ipython qtconsole matplotlib inline and in the console: from matplotlib import pylab as plt plt.plot([1,2,3],[4,5,6]) try (from the command line): ipython notebook and then open the web page at http://127.0.0.1:8888 Vlad PA196: Pattern Recognition Several key packages: numpy: fast array operations and matrix manipulation scipy: loads of numerical methods, including some functions for signal and image processing matplotlib: Matlab-style plotting functions - and not only! pandas: versatile package for data analysis scikit-image: image processing (beyond scipy) scikit-learn: our main interest Vlad PA196: Pattern Recognition Scikit-Learn http://scikit-learn.org/ nice Python package for machine learning/pattern recognition good documentation still under development start Python: ipython matplotlib qt let’s go through the tutorial at http://scikit-learn.org/ stable/tutorial/basic/tutorial.html Vlad PA196: Pattern Recognition