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Issue - 95

Worthy Read

Excellent post from Armin Ronacher on tackling a CPython performance bottleneck with a custom Rust extension module.

There are different way to prevent setting attributes and make attributes read only on object in python. We can use any one of the following way to make attributes readonly. 1) Property Descriptor 2) Using descriptor methods __get__ and __set__ 3) Using slots (only restricts setting arbitary attributes).
core python

The API for file uploads. Integrate Filestack in 2 lines of code. Python library for Filestack

In this tutorial we will be deploying ,a empty Django project I created to illustrate the deployment process.

Scraping is often an example of code that is embarrassingly parallel. With some slight changes, our tasks can be done asynchronously, allowing us to process more than one URL at a time. In version 3.2, Python introduced the concurrent.futures module, which is a joy to use for parallelizing tasks like scraping. The rest of this post will show how we can use the module to make our previously synchronous code asynchronous.

Most Django programmers use function-based views, but some use class-based views. Why? Special guest Buddy Lindsey will be joining us this week to talk about how class-based views are different.

I'm excited to introduce you to Markus Siemens and TinyDb. This is a 100% pure python, embeddable, pip-installable document DB for Python.

Whether you're building up a CMS or a bespoke application, chances are that you will have to handle some states / statuses. Let's discuss your options in Django.
finite state machine

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General Guidelines when upgrading Django.

Benoit writes about debugging his software using gdb, python-debuginfo.

Check the tweet :)

lptrace is strace for Python programs. It lets you see in real-time what functions a Python program is running. It's particularly useful to debug weird issues on production.
opensource project

In this post, I’ll explain how mypy works, the benefits and pain points we’ve seen in using mypy, and share a detailed guide for adopting mypy in a large production codebase (including how to find and fix dozens of issues in a large project in the first few days of using mypy!).

Python 3.5+ web server that's written to go fast
web server

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Projects - 101 Stars, 24 Fork
Feed-forward neural network for real-time artistic style transfer. Curator's Note - This is a pretty cool project.

TextSum - 8 Stars, 1 Fork
Preparing a dataset for TensorFlow text summarization (TextSum) model.

countrynames - 5 Stars, 0 Fork
Utility library to turn country names into ISO two-letter codes.

celery-redundant-scheduler - 4 Stars, 0 Fork
Celery beat sheduler provides ability to run multiple celerybeat instances.

SlackUptimeMonitor - 3 Stars, 3 Fork
Receive notifications in Slack when your websites/api/services are down

confluence-dumper - 3 Stars, 0 Fork
Tool to export Confluence spaces and pages recursively via its API

asyncio-nats-streaming - 3 Stars, 0 Fork
A asyncio library for NATS Streaming.