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Home > Python Bytes > #11 Django 2.0 is dropping Python 2 entirely, pipenv for profile functionality, and Pythonic home automation
Podcast: Python Bytes
Episode:

#11 Django 2.0 is dropping Python 2 entirely, pipenv for profile functionality, and Pythonic home automation
Category: Technology
Duration: 00:20:55
Publish Date: 2017-01-31 02:00:00
Description:

This is Python Bytes, Python headlines and news deliver directly to your earbuds: episode 11, recorded on January 30th, 2017.

#1 (Brian) pipenv - Pipfile, pip, and virtualenv

  • announcement from Kenneth Reitz
  • reddit thread
  • Features
    • Automatically finds your project home, recursively, by looking for a Pipfile.
    • Automatically generates a Pipfile, if one doesn't exist.
    • Automatically generates a Pipfile.lock, if one doesn't exist.
    • Automatically creates a virtualenv in a standard location (project/.venv).
    • Automatically adds packages to a Pipfile when they are installed.
    • Automatically removes packages from a Pipfile when they are un-installed.
    • Also automatically updates pip.

#2 (Michael): Django 2.0 is dropping support for legacy Python

  • Django changing docs to default to Python 3
  • The next release, Django 1.11, will be a long-term support release, and the one after that, Django 2.0, will no longer support Python 2.

#3 (Brian) attrs

  • Hynek Schlawack
  • pypi: https://pypi.python.org/pypi/attrs
  • readthedocs: https://attrs.readthedocs.io/en/stable/overview.html
  • I know this has been around for a while. But I’ve just stumbled across it while reading a blog post about requests, which was good, but we’ve covered requests a lot lately, so I’m gonna skip that article today.
  • pip install attrs, with an s, even though you import without the s
  • Does all of the grunt work of writing dunder functions for you so you can write classes with a small amount of code that behave like classes and objects should. Especially if you come from a C++ background, this makes writing classes more intuitive.

#4 (Michael): Go faster Python

  • This blog post gives an introduction to some techniques for benchmarking, profiling and optimising Python code.
  • If you have a Python program that’s running slowly, what are your options?
    • Benchmarking and profiling
    • Our intuition is often wrong
    • Benchmarking: %time, %timeit, timeit
    • Function profiling: %prun, cProfile
    • Line profiling: %lprun, line_profiler (requires line_profiler)
    • Cython

#5 (Brian): Getting Python 3 into distributions

  • Not an article but a couple of pleas.
  • Many OS distributions, including Red Hat, ship with Python 2.7.
  • Many developers don’t have the authority to install Python 3.x for projects.
  • Two pleas:
    • distributions: ship with both if you have to, but let 3.6 be an option for people.
    • companies: install Python 3.6 and let some projects use that
  • We can’t just encourage users to switch to Python 3 if it’s not their choice.

#6 (Michael) Home Assistant

  • Home Assistant is an open-source home automation platform running on Python 3.
    • Track and control all devices at home and automate control
    • Installation in less than a minute.
    • Observe: Track the state of all the devices in your home, so you don't have to.
    • Control: All your devices from a single, mobile-friendly, interface.
    • Automate: Setup advanced rules to control devices and bring your home alive.
    • have the lights turn on when the sun sets and you are home?
    • have the lights turn on when anyone comes home and it is dark?
    • dim the lights when you start watching a movie on your Chromecast?
    • receive a message when the lights turn on while you are not at home?
  • Demo: https://home-assistant.io/demo/
  • aiohttp: Asynchronous HTTP Client/Server
Total Play: 0

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