News and Developments.
PyCon Ireland 2013 Announcement (python.ie) PyCon Ireland 2013 will be held the 12th-13th of October, 2013. Click through for more details. From our sponsors:
Discussions.
11 Things I wish I knew about Django Dev before I started my company (reddit.com)
Projects.
snake-ai (github.com)  gtulip (github.com) Gtulip is a experimental async worker for gunicorn based on the tulip library. djangocore-box (github.com) Djangocore-box is a Vagrant VM containing all the programs and libraries required to run all off the django core test suite. vincent (github.com) For those of you who love your data and python, well particularly love vincent. Python to vega translator, built for making visualizations with D3.js pysiriproxy (github.com) Want to control parts of your machines using Siri? Pysiriproxy provides that and way more. Also boasts an awesome plugin interface, paired with a Raspberry pi, you could get to up to some serious automation. Pony ORM (ponyorm.com) Pony ORM is interesting. Pony translates Python Generators into SQL. It has a graphical editor for models and plenty of other features. Free for Non-commercial use with paid commercial licenses. pyres (github.com) Pure python job queue inspired by resque, pretty good alternative to celery. snakebasket (github.com) Python Jobs.
Senior/Principal Software Engineer (Venice Beach, CA) at ZEFR Python/Django Web Developer (Boston, MA) at 829 Studios
>>> More Python Jobs
Articles.
Unit Testing without patching (futurefoundries.com) Insightful article, which show that patching can be powerful, but reworking code to be more testable can often be the remedy to your testing problems. Pyramid view configuration (delaguardia.com.mx) Another cool compare and contrast between Pyramid and Django, well thought out article. introduction to Pip and Virtualenv for Python Beginners (dbapps.com) Excellent article for beginners getting started with python, who need to setup their environment properly. Worth a read. Pandas and Google Analytics (yhathq.com) This is a fantastic place to get started if you wanted to do further analysis on your Google Analytics data with pandas. The author guides you through all the required steps to get up and running from getting a client id from Google to authenticating and then finally plotting your data with pandas and matplotlib. Python's Magical Self p.2: Rebuild Everything (concentricsky.com) Last week we had part one of this series. Read on for part 2 about Python’s `self` argument. Django 1.5 Cheatsheet (revsys.com) The crowd at RevSys has a fantastic cheat sheet[PDF] for all your Django 1.5 needs.
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