Some press in Python Weekly!

Jason
moorepants.info
+01 530-601-9791


---------- Forwarded message ----------
From: Python Weekly <[email protected]>
Date: Thu, Mar 20, 2014 at 11:04 AM
Subject: Python Weekly - Issue 131
To: [email protected]


      Email not displaying correctly? View it in your
browser.<http://us2.campaign-archive1.com/?u=e2e180baf855ac797ef407fc7&id=8d9f1256ee&e=c9acab854b>
      Welcome to issue 131 of Python Weekly. Let's get straight to the
links this week.


*Articles, Tutorials and Talks*

What's New In Python
3.4<http://pythonweekly.us2.list-manage.com/track/click?u=e2e180baf855ac797ef407fc7&id=bd43ba942f&e=c9acab854b>
This article explains the new features in Python 3.4, compared to 3.3.
Python 3.4 was released on March 16, 2014.

Differential Drive Dynamics - Part
1<http://pythonweekly.us2.list-manage.com/track/click?u=e2e180baf855ac797ef407fc7&id=dd9304de08&e=c9acab854b>
SymPy is a computer algebra system, capable of performing symbolic
calculations that would be too complicated to do by hand. Which makes it
perfect for solving the equations needed to generate the equations of
motion (EOM) of multibody systems! In this post, the author demonstrates a
simple workflow for generating the EOM for a differential drive robot.

The Best Of Both Worlds: Hierarchical Linear Regression in
PyMC3<http://pythonweekly.us2.list-manage2.com/track/click?u=e2e180baf855ac797ef407fc7&id=9b31365475&e=c9acab854b>
This post shows how a multi-level hierarchical Bayesian model gives the
best of both worlds when we have multiple sets of measurements we expect to
have similarity. The naive approach either pools all data together and
ignores the individual differences, or treats each set as completely
separate leading to noisy estimates as shown. By assuming that each
individual data set (each county in our case) is distributed according to a
group distribution -- which we simultaneously estimate -- we benefit from
increased statistical power and smart regularization via the shrinkage
effect. Probabilistic Programming in PyMC then makes Bayesian estimation of
this model trivial.

Python AsyncIO - Streams - Client and
Server<http://pythonweekly.us2.list-manage.com/track/click?u=e2e180baf855ac797ef407fc7&id=6885a75776&e=c9acab854b>
AsyncIO is the new hot topic for Python 3.4 which was just recently
released. AsyncIO is a big game changer for Python. Where it makes sense,
many libraries are sure to port some or all of their code to take advantage
of it. This post shows you a version of a client and server that the author
wrote after digesting section 18.5 of the Python documentation and looking
at a few examples on the web.

Distributing a Python command line
application<http://pythonweekly.us2.list-manage.com/track/click?u=e2e180baf855ac797ef407fc7&id=bbaa604b3c&e=c9acab854b>
This article shows how to create a minimal Python command line application,
called 'bootstrap'. It describes how to set it up for publication on PyPI,
after which the user can conveniently install it via pip install bootstrap.
The installation immediately makes the 'bootstrap' command available to the
user -- for convenient invocation on Unix as well as on Windows. The author
also shows how to make the example application live within a proper package
structure and how to make it callable and testable in different convenient
ways.

Analyzing Citibike
Usage<http://pythonweekly.us2.list-manage1.com/track/click?u=e2e180baf855ac797ef407fc7&id=8c9d50f698&e=c9acab854b>

A nice post where the author does the analysis on Citibike usage.

Replacing `import` with `accio`: A Dive into Bootstrapping and Python's
Grammar<http://pythonweekly.us2.list-manage.com/track/click?u=e2e180baf855ac797ef407fc7&id=bd5563c8c8&e=c9acab854b>

Visualization of complex functions using
matplotlib<http://pythonweekly.us2.list-manage2.com/track/click?u=e2e180baf855ac797ef407fc7&id=a97df8432d&e=c9acab854b>

A Faster Real Time Fourier
Transform<http://pythonweekly.us2.list-manage.com/track/click?u=e2e180baf855ac797ef407fc7&id=b83d442c61&e=c9acab854b>


*Interesting Projects, Tools and Libraries*

xo<http://pythonweekly.us2.list-manage2.com/track/click?u=e2e180baf855ac797ef407fc7&id=9d2a4b2ef2&e=c9acab854b>
The exofrills (xo, pronounced 'ex-oh') text editor is designed to just
provide the features that you need to program effectively and nothing else.
It is ridiculously lightweight and only relies on Python 3, urwid, and
pygments.

2048 Game with 
Kivy<http://pythonweekly.us2.list-manage1.com/track/click?u=e2e180baf855ac797ef407fc7&id=336280fab8&e=c9acab854b>
This game has been created from the game 2048 by Gabriele Cirulli, itself
based on 1024 by Veewo Studio conceptually similar to Threes by Asher
Vollmer. This implementation use only Kivy framework, and can be played on
mobile with swipes or desktop with keyboard.

Flask-User<http://pythonweekly.us2.list-manage1.com/track/click?u=e2e180baf855ac797ef407fc7&id=1a9fc1eb5a&e=c9acab854b>
Many web applications require User Account Management features such as
Register, Confirm email, Login, Change username, Change password and Forgot
password. Some also require Role-based Authorization and
Internationalization. Wouldn't it be nice to have a package that would
offer these features out-of-the-box while retaining full control over the
workflow and presentation of this process? Flask-User aims to provide such
a ready-to-use AND fully customizable solution.

Gauged<http://pythonweekly.us2.list-manage.com/track/click?u=e2e180baf855ac797ef407fc7&id=358b3776de&e=c9acab854b>
A fast, append-only storage layer for gauges, counters, timers and other
numeric data types that change over time.

google_news_crawler<http://pythonweekly.us2.list-manage.com/track/click?u=e2e180baf855ac797ef407fc7&id=546d18de84&e=c9acab854b>
A utility to fetch news articles from Google News. GNC retrieves the latest
items from the Google News feeds and stores them in ElasticSearch or on
disk.

Flappy<http://pythonweekly.us2.list-manage.com/track/click?u=e2e180baf855ac797ef407fc7&id=0874e6822e&e=c9acab854b>
Flappy (the name stands for FLash-like APi for PYthon) is a cross platform
multimedia library with the API very similar to the ActionScript 3 Flash
API. Flappy is built on top of the SDL2 library and a slightly modified
subset of c/c++ code from the OpenFL-Lime project.

PyFilesystem<http://pythonweekly.us2.list-manage.com/track/click?u=e2e180baf855ac797ef407fc7&id=3e6eb1ada7&e=c9acab854b>
PyFilesystem is an abstraction layer for filesystems. In the same way that
Python's file-like objects provide a common way of accessing files,
PyFilesystem provides a common way of accessing entire filesystems. You can
write platform-independent code to work with local files, that also works
with any of the supported filesystems (zip, ftp, S3 etc.). Pyfilesystem
works with Linux, Windows and Mac.

quickD3map<http://pythonweekly.us2.list-manage.com/track/click?u=e2e180baf855ac797ef407fc7&id=808c77698d&e=c9acab854b>
quickD3map allows you to rapidly generate D3.js maps from data from within
the pandas/ipython ecosystem by converting Latitude/Longitude Data in to
points


*New Releases *

Python 
3.4.0<http://pythonweekly.us2.list-manage2.com/track/click?u=e2e180baf855ac797ef407fc7&id=b1bc8cf52b&e=c9acab854b>
Python 3.4 includes a range of improvements of the 3.x series, including
hundreds of small improvements and bug fixes.

django CMS 3.0 
RC1<http://pythonweekly.us2.list-manage.com/track/click?u=e2e180baf855ac797ef407fc7&id=2a4d561f99&e=c9acab854b>
After a year of development and 2905 commits since version 2.4.3, django
CMS 3.0 release candidate 1 has been released.


*Upcoming Events and Webinars *

Python on 
Rails<http://pythonweekly.us2.list-manage.com/track/click?u=e2e180baf855ac797ef407fc7&id=03f3da9772&e=c9acab854b>
If you are going to PyCon this year, here is a great way to network with
other Pythonistas. Get on a train, filled with everyone from Pythonistas to
PyCon first timers, that will go from Toronto to Montreal where this year's
PyCon is taking place.

Kivy App Contest
2014<http://pythonweekly.us2.list-manage1.com/track/click?u=e2e180baf855ac797ef407fc7&id=0ba7a70ac6&e=c9acab854b>
Kivy is organizing its second application development contest! This is a
great chance for new and experienced users to show off their skills and
compete for prizes. Entries will be judged on a range of criteria
accessible to both new and experienced programmers, so don't be afraid to
dive in!

Django Boston Meetup March 2014 - Cambridge,
MA<http://pythonweekly.us2.list-manage.com/track/click?u=e2e180baf855ac797ef407fc7&id=7d75ee5fec&e=c9acab854b>
Whether you're looking to make your web app run faster or scale better, one
great way to achieve both is to simply do less work. How?  By using caches,
the data hidey-holes which generations of engineers have thoughtfully left
at key junctures in computing infrastructure from your CPU to the backbone
of the internet. Requests into web applications, which span great distances
and often involve expensive frontend and backend lifting are great
candidates for caching of all types. We'll discuss the benefits and
tradeoffs of caching at different layers of the stack and how to find
low-hanging cachable fruit, with a particular focus on server-side
improvements.

San Diego Python Meetup March 2014 - San Diego,
CA<http://pythonweekly.us2.list-manage2.com/track/click?u=e2e180baf855ac797ef407fc7&id=92337b64b9&e=c9acab854b>
Chris Hiestand will give a talk on virtualenvwrapper.

PyWeek -- May 
2014<http://pythonweekly.us2.list-manage.com/track/click?u=e2e180baf855ac797ef407fc7&id=819bdbe518&e=c9acab854b>

*Share Python Weekly*  [image:
Facebook]<http://www.facebook.com/share.php?u=http%3A%2F%2Fus2.campaign-archive1.com%2F%3Fu%3De2e180baf855ac797ef407fc7%26id%3D8d9f1256ee&t=Python%20Weekly%20-%20Issue%20%20131>
[image:
Twitter]<http://twitter.com/intent/tweet?text=Python%20Weekly%20-%20Issue%20%20131%20-%20http%3A%2F%2Feepurl.com%2FQLXXz>
[image:
Reddit]<http://reddit.com/submit?url=http%3A%2F%2Fus2.campaign-archive1.com%2F%3Fu%3De2e180baf855ac797ef407fc7%26id%3D8d9f1256ee&title=Python%20Weekly%20-%20Issue%20%20131>
[image:
StumbleUpon]<http://www.stumbleupon.com/submit?url=http%3A%2F%2Fus2.campaign-archive1.com%2F%3Fu%3De2e180baf855ac797ef407fc7%26id%3D8d9f1256ee&title=Python%20Weekly%20-%20Issue%20%20131>
[image:
DZone]<http://www.dzone.com/links/add.html?url=http%3A%2F%2Fus2.campaign-archive1.com%2F%3Fu%3De2e180baf855ac797ef407fc7%26id%3D8d9f1256ee&title=Python%20Weekly%20-%20Issue%20%20131>
[image:
LinkedIn]<http://www.linkedin.com/shareArticle?mini=true&url=http%3A%2F%2Fus2.campaign-archive1.com%2F%3Fu%3De2e180baf855ac797ef407fc7%26id%3D8d9f1256ee&title=Python%20Weekly%20-%20Issue%20%20131>
[image:
Digg]<http://digg.com/submit?phase=2&url=http%3A%2F%2Fus2.campaign-archive2.com%2F%3Fu%3De2e180baf855ac797ef407fc7%26id%3D8d9f1256ee&title=Python%20Weekly%20-%20Issue%20%20131>
[image:
Delicious]<http://del.icio.us/post?url=http%3A%2F%2Fus2.campaign-archive2.com%2F%3Fu%3De2e180baf855ac797ef407fc7%26id%3D8d9f1256ee&title=Python%20Weekly%20-%20Issue%20%20131>
[image:
Slashdot]<http://slashdot.org/bookmark.pl?title=Python%20Weekly%20-%20Issue%20%20131&url=http%3A%2F%2Fus2.campaign-archive2.com%2F%3Fu%3De2e180baf855ac797ef407fc7%26id%3D8d9f1256ee>

You are receiving our weekly newsletter because you signed up at
http://www.PythonWeekly.com.

Unsubscribe<http://pythonweekly.us2.list-manage.com/unsubscribe?u=e2e180baf855ac797ef407fc7&id=9e26887fc5&e=c9acab854b&c=8d9f1256ee>
[email protected] from this list | Forward to a
friend<http://us2.forward-to-friend.com/forward?u=e2e180baf855ac797ef407fc7&id=8d9f1256ee&e=c9acab854b>|
Update
your 
profile<http://pythonweekly.us2.list-manage.com/profile?u=e2e180baf855ac797ef407fc7&id=9e26887fc5&e=c9acab854b>
*Our mailing address is:*
Python Weekly
Brooklyn
Brooklyn, NY 11209

Add us to your address
book<http://pythonweekly.us2.list-manage.com/vcard?u=e2e180baf855ac797ef407fc7&id=9e26887fc5>

*Copyright (C) 2014 Python Weekly All rights reserved.*

-- 
You received this message because you are subscribed to the Google Groups 
"sympy" group.
To unsubscribe from this group and stop receiving emails from it, send an email 
to [email protected].
To post to this group, send email to [email protected].
Visit this group at http://groups.google.com/group/sympy.
To view this discussion on the web visit 
https://groups.google.com/d/msgid/sympy/CAP7f1AhQy0Du4taj47k4uQFHZz_a6-%2BBj9Qpx7tTOMtLKeYLtA%40mail.gmail.com.
For more options, visit https://groups.google.com/d/optout.

Reply via email to