Lessons about Python (page 19)

github.com

A tool for moving Python code between files:

Flávio Juvenal·April 5, 2018

aeracode.org

Python & Async Simplified by Andrew Godwin

Lais Varejão·March 9, 2018

github.com

Pydash is the Lodash for Python

The kitchen sink of Python utility libraries for doing "stuff" in a functional way. Based on the Lo-Dash Javascript library. - dgilland/pydash

Filipe Ximenes·March 2, 2018

github.com

A command line utility to display dependency tree of the installed Python packages

A command line utility to display dependency tree of the installed Python packages - tox-dev/pipdeptree

Rebeca Sarai·January 31, 2018

github.com

Find packages that require updates on your python project:

Finds packages that require updates on a python environment - nezhar/updatable

Rebeca Sarai·January 31, 2018

jakevdp.github.io

XKCD-style plots in Matplotlib:

Flávio Juvenal·January 31, 2018

stackoverflow.com

Mocking image downloads for libs that actually check the file's contents, like Fleep

Luca Bezerra·January 29, 2018

stackoverflow.com

Downloading files via a requests library (i.e. python Requests) may throw HTTP 403 due to lack of user-agent param on headers

Luca Bezerra·January 24, 2018

Today I learned

Share a directory locally with python 3 python -m http.server

Victor Carriço·January 12, 2018

github.com

Trio – Pythonic async I/O for humans and snake people 🐍

Trio – a friendly Python library for async concurrency and I/O - python-trio/trio

Flávio Juvenal·January 12, 2018

thenewstack.io

Instagram Makes a Smooth Move to Python 3:

Flávio Juvenal·December 21, 2017

github.com

MonkeyType is a great lib that helps you type an untyped codebase

A Python library that generates static type annotations by collecting runtime types - Instagram/MonkeyType

Carlos Coelho·December 16, 2017

docs.celeryproject.org

To list the current Celery tasks names in Redis queue, use:

import json import base64 from redis import StrictRedis redis_client = StrictRedis.from_url(BROKER_URL) default_queue = redis_client.lrange('celery', 0, -1) print({json.loads(base64.b64decode(json.loads(message.decode('utf-8'))['body']).decode('utf-8'))['task'] for message in default_queue}) For reserved and active, use app.control.inspect(): #inspecting-workers

Lais Varejão·December 7, 2017

Today I learned

If you have pure functions called multiple times you should try it functools.lru_cache

Anderson Resende·November 25, 2017

github.com

An instant JSON API for your SQLite databases:

An open source multi-tool for exploring and publishing data - simonw/datasette

Flávio Juvenal·November 16, 2017