PythonHub

How We Recreated the Dixie Wildfire’s Plume from Radar and Satellite Data New York Times Graphics and R&D engineers worked with wildfire experts to visualize how fires create their own weather patterns. An engineer describes the process behind this data driven graphic. https://open.nytimes.com/how-we-recreated-the-dixie-wildfires-plume-from-radar-and-satellite-data-d6e829a727cd

Dynamically update periodic tasks in Celery and Django Celery is a popular distributed tasks queue. The most common approach is to define the periodic tasks before the Celery worker is started. What if we would like to define periodic tasks dynamically? https://saasitive.com/tutorial/dynamically-update-periodic-tasks-celery/

Show HN: Koda Validate – Typesafe, combinable validation for Python https://github.com/keithasaurus/koda-validate

TheLastBen / fast-stable-diffusion fast-stable-diffusion, +25-50% speed increase + memory efficient + DreamBooth https://github.com/TheLastBen/fast-stable-diffusion

cuallee A data quality acceleration library to get data sets verified in a friendly interface. https://github.com/canimus/cuallee

How to Safely Pass Data to JavaScript in a Django Template You want to pass your data from your Django view to JavaScript, in your template. And, you want to ... https://adamj.eu/tech/2022/10/06/how-to-safely-pass-data-to-javascript-in-a-django-template/

PyWeb3D Use the three.js library without writing a single line of JavaScript. https://github.com/Bruno-Odinukweze/PyWeb3D

Inside the Faster CPython Team at Microsoft https://devblogs.microsoft.com/python/python-311-faster-cpython-team/

DictDataBase A Python NoSQL database that uses dicts, and provided thread and process safety. https://github.com/mkrd/DictDataBase

DataProfiler The DataProfiler is a Python library designed to make data analysis, monitoring and sensitive data detection easy. https://github.com/capitalone/dataprofiler

When should you upgrade to Python 3.11? Python 3.11 is out now–but should you switch to it immediately? And if you ... https://pythonspeed.com/articles/upgrade-python-3.11/

DeepXDE DeepXDE is a library for scientific machine learning and physics-informed learning. https://github.com/lululxvi/deepxde

My essential guidelines for better Django development Contents Introduction Model design guidelines Avoid using choices Always use ... https://spapas.github.io/2022/09/28/django-guidelines/

Generating memes and infographics with Pillow Pillow is used for simple operations on images, like resizing, converting to other file formats, and so on. It also can be used to generate custom graphics like infographics or composites of multiple images - memes, infographics, and more. Let's take a look at how it can be done. https://rk.edu.pl/en/generating-memes-and-infographics-with-pillow/

nv-tlabs / GET3D https://github.com/nv-tlabs/GET3D

Better Python input with Rich Do you use the "input" builtin to get input from the user? You might want to consider using the input facilities provided by the Rich package instead. This video shows you some of the reasons why Rich is a better option, and some of the features it offers. https://www.youtube.com/watch?v=dxm_HEqzggs

Django Performance Improvements - Part 4: Caching in Django Applications In the first three parts of this series around improving performance in your Django applications, we focused on database, code optimization, and frontend optimization. In part 4, we will focus on ways to improve the speed of the Django applications. https://blog.sentry.io/2022/10/24/django-performance-improvements-part-4-caching-in-django-applications/

Building Generator Pipelines in Python This article proposes an elegant way to build generator pipelinesGenerator pipelines: a straight ... https://towardsdatascience.com/building-generator-pipelines-in-python-8931535792ff

EnCodec State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio. https://github.com/facebookresearch/encodec

Building the Future of TensorFlow We’ve started planning the future of TensorFlow! In this article, we’d like to share our vision. https://blog.tensorflow.org/2022/10/building-the-future-of-tensorflow.html