djangoproject

http://www.enlistq.com/10-python-idioms-to-help-you-improve-your-code/ If you have ever tried to learn a new language (not a programming language), you know that we always think in our native language before we translate it to the new language. This can lead to you forming some sentences that don’t make sense in the new language but are perfectly normal in your native language. For example, in a lot of languages, you ‘open’ an electronic gadget such as fan, AC or cell phone. When you say that in English, it means to literally open the gadget instead of turning it on. The same is true for programming languages. As we pick up new languages, such as #python, we are using our prior knowledge of programming in another language (q, java, c++ etc) and translating that to python. Many times, your code will work but it won’t be ‘#pretty’ or #fast. In python terms, your code won’t be ‘#pythonic’.

https://www.coursereport.com/blog/ruby-on-rails-vs-python-and-django-which-should-a-beginner-learn Over a year ago I found myself in a position where my career options looked bleak. I had intended on going to graduate school for economic development. But, instead of dishing out the time and money for another two years of school, I decided to teach myself how to code. (I had always loved to problem solve, anyways.) But, like most beginners, I struggled with knowing where to start. I want to create web apps: but where should I begin? My ultimate goal was to eventually build web apps. After a little “web application development” research on Google, it became clear that Ruby on Rails (#RoR) and #Python and #Django are two very popular methods to create web apps. But which is best for a beginner to learn? #RoR requires less work to get up and running and #Django allows for more customization.

http://deeplearning.net/software/theano/tutorial/index.html#basics In terms of #algorithm availability, you can get plenty of algorithms out of the box with scikit-learn. And if you want to customize every detail of your #models, #Python has #Theano. In addition, Theano is easily configured to run on the #GPU, which gives you a cheap and easy way to get much higher speeds without having to change a single line of code or delve into performance details.

http://www.gladwinanalytics.com/online_courses/courseware/14769822875808f60fc07c8 #pycon#python#learn

http://www.python-course.eu/finite_state_machine.php #learn#python

https://www.buzzfeed.com/andrewkelleher/deep-exploration-into-python-lets-review-the-dict-module?utm_term=.rhDeZBxA8#.bgB5DM0Z9 In this series, we’ll take a look at various modules and pieces of functionality of the #Python language. We’ll look at design choices, their impact, and their evolution. We’ll also look at the design of the language itself and learn about the operations of the interpreter as it parses the language all the way to the main eval loop. Finally, we’ll attempt to give practical takeaways that fall out of a deeper understanding of the language. The #cpython implementation of Python (which is the standard on most machines) has been ported over to GitHub from its home in Mercurial. I think it also had a time under #SVN, but the engineers managed to preserve (for the most part) the commit logs.

https://wiki.python.org/moin/PythonDecorators This page largely documents the history of the process of adding #decorators to #Python. If you're just interested in what decorators or the '@' #symbol mean in Python, see the Wikipedia page .http://en.wikipedia.org/wiki/Python_syntax_and_semantics#Decorators or PEP 318.

http://www.meetup.com/flask-nyc/ This is a group for anyone interested in #Flask, #Python, #web_development, and any related technologies. To stay up to date with group events, follow us on Twitter @FlaskNYC. Want to read up on Flask?

http://www.meetup.com/nycpython/ The #NewYork#Python Meetup #Group

http://www.lfd.uci.edu/~gohlke/pythonlibs/ This page provides 32- and 64-bit Windows binaries of many scientific open-source extension #packages for the official #CPython distribution of the #Python programming language. The files are unofficial (meaning: informal, unrecognized, personal, unsupported, no warranty, no liability, provided "as is") and made available for testing and evaluation purposes.

http://matplotlib.org/ #matplotlib is a python #2D#plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in #python scripts, the python and #ipython shell (ala MATLAB®* or Mathematica®†), web application servers, and six #graphical user interface toolkits. screenshots

https://github.com/szastupov/aiotg aiotg https://travis-ci.org/szastupov/aiotg.svg?branch=master #Asynchronous#Python#API for building Telegram #bots, featuring: Easy and declarative API Hassle-free setup - no need for SSL certificates or static IP Built-in support for analytics via botan.io Automatic handling of Telegram API throttling or timeouts