#90 A Django Async Roadmap
Python Bytes - Podcast tekijän mukaan Michael Kennedy and Brian Okken - Maanantaisin
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Sponsored by Digital Ocean: pythonbytes.fm/digitalocean
Brian #1: Reproducible Data Analysis in Jupyter
- Amazing series of videos by Jake Vanderplas
- Exploring a data set through visualization in a Jupyter notebook
- There’s a lot of dense material there, from saving datasets to files, plotting in the notebook as opposed to outside in a separate window, using resampling, …
Michael #2: PySimpleGUI - For simple Python GUIs
- Via Mike Barnett
- Looking to take your Python code from the world of command lines and into the convenience of a GUI?
- Have a Raspberry Pi with a touchscreen that's going to waste because you don't have the time to learn a GUI SDK?
- Look no further, you've found your GUI package.
- Based on tkinter
- No dependencies (outside of Python itself):
pip install PySimpleGUI
- Python3 is required to run PySimpleGUI. It takes advantage of some Python3 features that do not translate well into Python2.
- Looking to help? → Port to other graphic engines. Hook up the front-end interface to a backend other than tkinter. Qt, WxPython, etc.
Brian #3: Useful tricks you might not know about Git stash
git stash save
- Stash the changes in a dirty working directory awaygit stash apply
- re-applies your changes after you do whatever you need to to your directory, like perhaps pull.- Lots of neat things to do with stash
- you can add a message so the stashed content has a nice label
-u
will include untracked files when saving.git stash branch [HTML_REMOVED] stash@{1}
will create a new branch with the latest stash, and then deletes the latest stash- Lots of other nice tricks in the article
- See also: git-stash in git-scm book
Michael #4: A Django Async Roadmap
- via Andrew Godwin, from Django Channels
- Thinks that the time has come to start talking seriously about bringing async functionality into Django itself
- Open for public feedback
- The goal is to make Django a world-class example of what async can enable for HTTP requests, such as:
- Doing ORM queries in parallel
- Allowing views to query external APIs without blocking threads
- Running slow-response/long-poll endpoints alongside each other efficiently
- Bringing easy performance improvements to any project that spends a majority of time blocking on databases or sockets (which is most projects!)
- Imperative that we keep Django backwards-compatible with existing code
- Why now? Django 2.1 will be the first release that only supports Python 3.5 and up, and so this provides us the perfect place to start working on async-native code
Brian #5: pydub
- “Manipulate audio with a simple and easy high level interface”
- Really clean use of operators.
from pydub import AudioSegment
# also handles lots of other formats
song = AudioSegment.from_mp3("never_gonna_give_you_up.mp3")
# pydub does things in milliseconds
ten_seconds = 10 * 1000
first_10_seconds = song[:ten_seconds]
last_5_seconds = song[-5000:]
# boost volume by 6dB
beginning = first_10_seconds + 6
# reduce volume by 3dB
end = last_5_seconds - 3
# Concatenate audio (add one file to the end of another)
without_the_middle = beginning + end
- also:
- crossfade
- repeat
- fade
- switch formats
- add metadata tags
- save with a specific bitrate
Michael #6: Molten: Modern API framework
- molten is a minimal, extensible, fast and productive framework for building HTTP APIs with Python.
- Heavy use of type annotations
- Officially supports Python 3.6 and later
- Request Validation: molten can automatically validate requests according to predefined schemas, ensuring that your handlers only ever run if given valid input
- Dependency Injection: Write clean, decoupled code by leveraging DI.
- Still experimental at this stage.