|News and Developments. |
SciPy 2013 Tutorial Schedule (scipy.org)
Gunicorn 0.17.4 Released! (gunicorn.org)
This week has been so fast paced for the gunicorn crew two releases happened this week. Be sure to install the later version.
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What concepts would a python developer benefit by learning Java? (reddit.com)
Worth a read! Tons of insight for those of us who didn’t go through Java purgatory.
Turn Python expressions into MongoDB queries with pql. It supports the gamut of expressions and types you would like to use.
Falcon Framework (falconframework.org)
Falcon dubs itself as the high-performance cloud API framework. Falcon claims to easily serve up to 30 times as many requests on the same hardware as competing web frameworks. Sound interesting to you? Check it out.
Macropy is an implementation of macros in Python. Check out the readme for a list of features and how to use them.
This project doesn’t dwell too far from its name, this super charges the speed of your pip installs with the clever use of caches and even manages your virtualenvs. The numbers are impressive let us know what you think.
This is very useful. Template Timings simply adds another panel to Django Debug Toolbar that lists the amount of time it takes each of your django templates to render.
Very interestings. Socode is a social code experiment with four steps, fork -> edit -> open a pull -> merge. Click through to check out the rules of the experiment.
pqAuth is an implementation of the Needham-Schroeder-Lowe Public-Key Protocol over HTTP. pqAuth allows web API’s and their clients to authenticate each other using SSH Keys.
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Crossing the language barrier with RabbitMQ (winki.org)
Emacs for Python (caisah.info)
There are plenty of articles out there about doing Python development with Vim or Sublime Text, here is a great, in-depth article about getting up and running developing Python on Emacs.
IPython in the age of data-driven journalism (fperez.org)
Excellent article by Fernando Perez on how IPython, is opening up the world to a more open and data based debates, plus some amazing visualizations.
Plotting Time Series with Pandas, Vega and Vincent (github.io)
These is a very brief article showing you how to easily use Panda’s Time Series tools, vega’s visualizations and use Vincent to link them all together. Put this all together and you get some pretty amazing stuff!
Python Number Conversion Chart (github.com)
This is a great reminder and reference if you are doing things like hex strings into binary data or converting hex strings to integers, etc. Check it out.
Multithreaded Python Tutorial with the “Threadworms” Demo (inventwithpython.com)
Fantastic tutorial on threading in Python for beginning programmers. The author uses a multithreaded version of the “Nibble” or “Snake” game as an example to demonstrate the concepts behind threading.
Bootstrapping Virtualenv (thegreenplace.net)