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Anthony Scopatz
moderator

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Congrats to @enthought's Kurt Smith on his new @OReillyMedia book #Cython: A Guide for #Python Programmers #C #C++ http://ow.ly/JGiW7
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Jason Moore's profile photoVonVictor Valentino Rosenchild's profile photoAntonio Carvajal-Rodríguez's profile photo
 
I bought this and have learned a lot. It really cleared up several things that were hard to glean from the freely available documentation.
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Elías Andrawos

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Gabriele Lanaro's profile photo
 
Wow this is very useful
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python packages which makes data mining / machine learning programmers life easier.
http://goo.gl/VFQWUw
Just because you have a “hammer”, doesn’t mean that every problem you come across will be a “nail”. The intelligent key thing is when you use  the same hammer to solve what ever problem you came ac...
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Peter Fabo

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Hi all, here are images from pse 0.08D (python simulator & editor - pure python + scipy + matplotlib + PyQt), some new features - works with (Python2 + PyQT 4.x) or with (Python3 + PyQt 5.x), tested on Ubuntu 14.04, Win8 and Mac. Diagrams can be used  like macros, see images. More on http://www.kiwiki.info/index.php/PySimEd
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Dealing with Unbalanced Classes ,Svm, Random Forests And Decision Trees In Python http://bit.ly/1vOl6yV. #Machinelearning, #Datascience 
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Shame I can't be a part of the +ScipyConference leadership this year, but I am sure it will be a great conference!  Call for talks and tutorials is now open...
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Anthony Scopatz's profile photoOndřej Čertík's profile photo
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+Nelson Brown policies can be changed, you need to convince your management. ;)
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John Cook
owner

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A short Python script to illustrate the arcsine law for random walks
The arcsine law states how much time a random walk is likely to spend on either side of where it started. Illustrated by a short Python script.
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Richard Durham's profile photoJason Barker's profile photo
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John Cook
owner

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Exploring the rate of convergence to Khinchin's constant with Sage
The geometric mean of the continued fraction coefficients of almost all real numbers converges to Khinchin's constant. Er explore convergence with Python.
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Peter Luschny's profile photo
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Linear Regression In Python Using Stats Models. http://bit.ly/16JF07M
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Shreekanth Pavar's profile photomicroelly's profile photoClifford Long's profile photoAndrew Rogerson's profile photo
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+Steve Maughan glad you liked it 
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This is interesting!
Mining Youtube using Python ( ALS Ice Bucket Challenge)
Step by step guide to extract data from YouTube and analyze it to measure the effect of a social media campaign
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Jens Grivolla's profile photoHaris Papageorgiou's profile photo
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John Philip

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Another interesting article for people in data science. Data Munging in Python.
Pandas provide the necessary tools to perform data cleaning and munging for structured data. This tutorial illustrates use of Pandas for data munging.
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Anthony Scopatz
moderator

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Network Graphs with the networkx and Plotly Python Modules

https://plot.ly/ipython-notebooks/network-graphs/
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microelly's profile photoWilliam Scullin's profile photo
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This article explains the step by step approach for performing data analysis using Python.
A comprehensive learning path to become a data scientist using Python. Topics include machine learning, deep learning & pandas on Python
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Lizardo Reyna's profile photomia zuffler's profile photoGermán Andrés Ramírez G.'s profile photoJoachim Barbay's profile photo
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Inconvenience is deeply regretted!
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Planning to learn python? Join this expert discussion on how to start data analysis in Python! 
Hi, I am new to data analysis in python. Can you please help me with some basic data analytic package & feature in python which helps me to perform this? Regards, Steve
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Francois Laurand's profile photoAnthony Assal's profile photo
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The third video in my data analysis series (in Spanish) is available now!
This time I talk a little bit about how to read and write CSV files using #numpy. Come and check out the content :)
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Lizardo Reyna's profile photoErnesto Crespo's profile photoSr Kraken's profile photo
 
Buen aporte
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Almar Klein

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Pleased to announce release v3.6 of the IEP IDE,  as well as release 2015a of the Pyzo scientific Python distribution!

IEP: http://iep-project.org
Pyzo: http://www.pyzo.org/
Powerful introspection; Various ways to run code interactively or to run a file as a script. Shells run in a subprocess and can therefore be interrupted or killed. Multiple shells can be used at the same time, and can be of different Python versions (from v2.4 to 3.x, including pypy) ...
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Bart Smets's profile photoJuan Gonzalez Gomez's profile photoVonVictor Valentino Rosenchild's profile photoKlaus Drechsler's profile photo
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Not sure in what form the package ends up in your system, but its likely you can also "run" the package via `python3 -m iep`.
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Thomas Caswell

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We are pleased to announce the release of matplotlib v1.4.3!

Wheels, windows binaries and the source tarball are available through both source-forge [1]  and pypi (via pip).  Additionally the source is available tarball is available from github [2] and mac-wheels from http://wheels.scikit-image.org/.

This is the last planned bug-fix release in the 1.4 series.
Many bugs are fixed including:

fixing drawing of edge-only markers in AGG
fix run-away memory usage when using %inline or saving with a tight bounding box with QuadMesh artists
improvements to wx and tk gui backends
Additionally the webagg and nbagg backends were brought closer to
feature parity with the desktop backends with the addition of keyboard
and scroll events thanks to Steven Silvester.

The next planned release will be based on the 1.4.x series but will change the default colors and be tagged as version v2.0. The target release date is in the next month or two.

The next feature release will be v2.1 targeted for around SciPy in July.

Tom



[1] https://sourceforge.net/projects/matplotlib/files/matplotlib/matplotlib-1.4.3/

[2] https://github.com/matplotlib/matplotlib/releases/tag/v1.4.3

http://matplotlib.org/index.html
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Brian Holland's profile photomicroelly's profile photoJuan Gonzalez Gomez's profile photoLucas Bueno's profile photo
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They are still being determined.  Check out the discussions on the mailing list and keep and eye on github.
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Python 3.5 to have "@" operator for matrix multiplication.

I hate it. Why not "x"?? 
The official home of the Python Programming Language
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Anders Steen Christensen's profile photoPhillip Adkins's profile photoKarol Langner's profile photoMart van de Ven's profile photo
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+Anders Steen Christensen

I literally hate the use of the shorthand character "@" to represent matrix multiplication in Python. Yes.
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Lester Anderson

Discussion  - 
 
Hello all,

I do a lot of work using the GMT software whereby grids are saved/read from the netCDF format.

What I would like to see is an example code that reads a netCDF grid, does some processing on a variable and writes out a new netCDF grid. Are there any examples of this that anyone can point me to?

Thanks
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Leonardo Uieda's profile photoHelge Rebhan's profile photo
3 comments
 
I was trying cartopy to display RS image data with an associated geolocation grid (thus each image pixel has an associated lat/lon value).

worked only with small (i.e. 100x100) images, for larger data to slow and crashing... any other package suggestion appreciated.
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Anthony Scopatz
moderator

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We are sprinting tomorrow to create a new website for the PyDy project.  We'd love help if you are looking for something to do!
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