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The Glowing PythonA collection of sloppy snippets for scientific computing and data visualization in Python.
http://glowingpython.blogspot.com/
A collection of sloppy snippets for scientific computing and data visualization in Python.
http://glowingpython.blogspot.com/
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The Glowing Python | glowingpython.blogspot.com Reviews
https://glowingpython.blogspot.com
A collection of sloppy snippets for scientific computing and data visualization in Python.
glowingpython.blogspot.com
The Glowing Python: June 2013
https://glowingpython.blogspot.com/2013_06_01_archive.html
A collection of sloppy snippets for scientific computing and data visualization in Python. Friday, June 28, 2013. We can represent a shape with a matrix like the following:. Where each pair (x. Is a "landmark" point of the shape and we can transform every generic point (x,y). In this transformation we have that θ is a rotation angle, t. Where T' is a function that applies T to all the point of the input shape. This task turns out to be pretty easy using the fmin function provided by Scipy:. Def error fun...
The Glowing Python: January 2014
https://glowingpython.blogspot.com/2014_01_01_archive.html
A collection of sloppy snippets for scientific computing and data visualization in Python. Tuesday, January 14, 2014. Review: Fundamentals of Data Analytics in Python. I massively use Python for data analysis and when I was offered to review the video tutorial with the title “ Fundamentals of Data Analytics in Python LiveLessons. 8221;, I couldn't refuse. In conclusion, this video tutorial provides a solid introduction to the main tools for data analysis in Python and a clear view of the open source Pyth...
The Glowing Python: Stacked area plots with matplotlib
https://glowingpython.blogspot.com/2015/04/stacked-area-plots-with-matplotlib.html
A collection of sloppy snippets for scientific computing and data visualization in Python. Thursday, April 9, 2015. Stacked area plots with matplotlib. We can compare the number of cases of each disease month by month. First, we need to load and organize the data properly:. In the snippet above we read the data from a Matlab file and summed the number of cases for each month. We are now ready to visualize our values using the function stackplot. Import matplotlib.patches as mpatches import matplotlib...
The Glowing Python: February 2014
https://glowingpython.blogspot.com/2014_02_01_archive.html
A collection of sloppy snippets for scientific computing and data visualization in Python. Wednesday, February 26, 2014. Terms selection with chi-square. In Natural Language Processing, the identification the most relevant terms in a collection of documents is a common task. It can produce meaningful insights about the data and it can also be useful to improve classification performances and computational efficiency. A popular measure of relevance for terms is the χ. Can be computed as follow:. From the ...
The Glowing Python: April 2014
https://glowingpython.blogspot.com/2014_04_01_archive.html
A collection of sloppy snippets for scientific computing and data visualization in Python. Tuesday, April 22, 2014. Parameters selection with Cross-Validation. Let's see a simple example where a smoothing parameter for a Bayesian classifier is select using the capabilities of the Sklearn library. To begin we load one of the test datasets provided by sklearn (the same used here. And we hold 33% of the samples for the final evaluation:. Res = zip(*[(f1m, f1s.std(), p['alpha']) for p, f1m, f1s in clf...
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Donating to Open Source Projects | @ infinity
https://atinfinity.wordpress.com/2013/06/04/donating-to-open-source-projects
There are no accidents! Donating to Open Source Projects. June 4, 2013. SciKit Random Forest – Brian Eoff. Kernels Part 1: What is an RBF Kernel? June 6, 2013 at 23:14. Reblogged this on SourceContribute. June 6, 2013 at 23:25. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. R is my friend.
SciKit Random Forest – Brian Eoff | @ infinity
https://atinfinity.wordpress.com/2013/02/09/scikit-random-forest-brian-eoff
There are no accidents! SciKit Random Forest – Brian Eoff. Posted in Machine Learning. Format and tagged Machine Learning. February 9, 2013. Donating to Open Source Projects →. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. You are commenting using your Facebook account. ( Log Out. R is my friend.
Matrix Factorization Resources | @ infinity
https://atinfinity.wordpress.com/2012/08/01/matrix-factorization-resources
There are no accidents! Matrix Factorization Techniques for Recommender Systems. An article by Koren, Bell and Volinsky in IEEE computer magazine. Netflix Update: Try this at Home. This is such a nice online resource that it has been cited by many research papers. Matrix Factorization: A Simple Tutorial and Implementation in Python. This page explains all the math around a stochastic descent for matrix factorization. Some Analysis of the Netflix data with C code. Paper by R Gemulla. Paper by C Liu. 039;R...
Rényi Entropy and Free Energy | @ infinity
https://atinfinity.wordpress.com/2014/06/26/rnyi-entropy-and-free-energy
There are no accidents! Rényi Entropy and Free Energy. I want to keep telling you about information geometry but I got sidetracked into thinking about something slightly different, thanks to some fascinating discussions here at the CQT. There are a lot of people interested in entropy here, so some of us? John Baez, Rnyi entropy and free energy. Of order $latex beta$ is defined to be. June 26, 2014. Kernels Part 1: What is an RBF Kernel? Leave a Reply Cancel reply. Enter your comment here. R is my friend.
s1n4 | Page 2
https://s1n4.wordpress.com/page/2
Skip to primary content. Skip to secondary content. Newer posts →. Xor encoder in C. June 27, 2011. A simple xor encoder in C for windows. If you want to use in other OS you should remove the following code:. June 26, 2011. Only create a new folder and then rename the folder to the following:. Xor encoder v2.0. June 24, 2011. Another version of xor encoder. Xorpy s1n4 test.zip. For access to the original file you must xor again with latest key. Xor encoder v1.0. June 23, 2011. Xorpy 0x4a test.txt. Print ...
Shishir | @ infinity
https://atinfinity.wordpress.com/author/shishirpy
There are no accidents! Rényi Entropy and Free Energy. I want to keep telling you about information geometry but I got sidetracked into thinking about something slightly different, thanks to some fascinating discussions here at the CQT. There are a lot of people interested in entropy here, so some of us? John Baez, Rnyi entropy and free energy. Of order $latex beta$ is defined to be. June 26, 2014. Kernels Part 1: What is an RBF Kernel? I wrote this as a follow up to a Quora Answer on the subject:. Http:...
PyPedia:Examples - PyPedia
http://www.pypedia.com/index.php/PyPedia:Examples
These are some snippets of code that have been published in python code blogs. The following links load the published code and allow the user to execute it in pypedia's front page. You can contribute by editing the Discussion. Snippets from the glowing python. A colorful Trifoil Knot. First steps with networkx. Kernel Density Estimation with scipy. Distribution fitting with scipy. Manifold learning on handwritten digits with Isomap. K- means clustering with scipy. Linear regression with Numpy.
James Michael Bell
http://www.jmbell.net/python.html
Gravitational Wave Data Analysis. Python is easily my favorite programming language. Though I've been writing it the longest, each time I pick it back up I seem to discover a new module/functionality that increases its data manipulating power. Below are some example Python scripts I've written (and their results) that demonstrate some of the power, elegance, and breadth of the language. For other examples, I suggest taking a look at the glowing python/. Blog and any module's documentation.
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The Glowing Python
A collection of sloppy snippets for scientific computing and data visualization in Python. Monday, October 9, 2017. Spotting outliers with Isolation Forest using sklearn. To start, let's generate the data and plot the histogram:. Import numpy as np import matplotlib.pyplot as plt x = np.concatenate( np.random.normal(loc=-2, scale=.5,size=500), np.random.normal(loc=2, scale=.5, size=500) ) plt.hist(x, normed=True) plt.xlim([-5, 5]) plt.show(). Thursday, July 13, 2017. Dates in Pandas Cheatsheet. In dateti...
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