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
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
blog.tensorflow.org
Building the Future of TensorFlow
The TensorFlow roadmap for 2023 and beyond
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
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
GitHub
GitHub - facebookresearch/encodec: State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo…
State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio. - facebookresearch/encodec
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
This article proposes an elegant way to build generator pipelinesGenerator pipelines: a straight ...
https://towardsdatascience.com/building-generator-pipelines-in-python-8931535792ff
Towards Data Science
Building Generator Pipelines in Python | Towards Data Science
This article proposes an elegant way to build generator pipelines
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/
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/
Product Blog • Sentry
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…
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
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
YouTube
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 (https://pypi.org/project/rich ), instead. In this video, I show you some of the reasons why Rich is a better option…
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/
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/
RkBlog
Generating memes and infographics with Pillow
How to generate custom images with Pillow in Python.
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/
Contents
Introduction
Model design guidelines
Avoid using choices
Always use ...
https://spapas.github.io/2022/09/28/django-guidelines/
spapas.github.io
My essential guidelines for better Django development — /var/
DeepXDE
DeepXDE is a library for scientific machine learning and physics-informed learning.
https://github.com/lululxvi/deepxde
DeepXDE is a library for scientific machine learning and physics-informed learning.
https://github.com/lululxvi/deepxde
GitHub
GitHub - lululxvi/deepxde: A library for scientific machine learning and physics-informed learning
A library for scientific machine learning and physics-informed learning - lululxvi/deepxde
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/
Python 3.11 is out now–but should you switch to it immediately?
And if you ...
https://pythonspeed.com/articles/upgrade-python-3.11/
Python⇒Speed
When should you upgrade to Python 3.11?
Python 3.11 has been released—when should you switch to using it?
DataProfiler
The DataProfiler is a Python library designed to make data analysis, monitoring and sensitive data detection easy.
https://github.com/capitalone/dataprofiler
The DataProfiler is a Python library designed to make data analysis, monitoring and sensitive data detection easy.
https://github.com/capitalone/dataprofiler
GitHub
GitHub - capitalone/DataProfiler: What's in your data? Extract schema, statistics and entities from datasets
What's in your data? Extract schema, statistics and entities from datasets - capitalone/DataProfiler
DictDataBase
A Python NoSQL database that uses dicts, and provided thread and process safety.
https://github.com/mkrd/DictDataBase
A Python NoSQL database that uses dicts, and provided thread and process safety.
https://github.com/mkrd/DictDataBase
GitHub
GitHub - mkrd/DictDataBase: A python NoSQL dictionary database, with concurrent access and ACID compliance
A python NoSQL dictionary database, with concurrent access and ACID compliance - mkrd/DictDataBase
Inside the Faster CPython Team at Microsoft
https://devblogs.microsoft.com/python/python-311-faster-cpython-team/
https://devblogs.microsoft.com/python/python-311-faster-cpython-team/
Microsoft News
A Team at Microsoft is Helping Make Python Faster
Python 3.11 brings the specialized adaptive interpreter, the starting point of a large plan to make Python much faster. At Microsoft, we have a full-time team dedicated to this project.
PyWeb3D
Use the three.js library without writing a single line of JavaScript.
https://github.com/Bruno-Odinukweze/PyWeb3D
Use the three.js library without writing a single line of JavaScript.
https://github.com/Bruno-Odinukweze/PyWeb3D
GitHub
GitHub - Bruno-Bells/PyWeb3D: Exploring three.js with python syntax
Exploring three.js with python syntax. Contribute to Bruno-Bells/PyWeb3D development by creating an account on GitHub.
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/
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/
adamj.eu
How to Safely Pass Data to JavaScript in a Django Template - Adam Johnson
You want to pass your data from your Django view to JavaScript, in your template. And, you want to do it securely, with no risk of accidentally allowing malicious code injection. Great, this is the post for you!
cuallee
A data quality acceleration library to get data sets verified in a friendly interface.
https://github.com/canimus/cuallee
A data quality acceleration library to get data sets verified in a friendly interface.
https://github.com/canimus/cuallee
GitHub
GitHub - canimus/cuallee: Possibly the fastest DataFrame-agnostic quality check library in town.
Possibly the fastest DataFrame-agnostic quality check library in town. - canimus/cuallee
TheLastBen / fast-stable-diffusion
fast-stable-diffusion, +25-50% speed increase + memory efficient + DreamBooth
https://github.com/TheLastBen/fast-stable-diffusion
fast-stable-diffusion, +25-50% speed increase + memory efficient + DreamBooth
https://github.com/TheLastBen/fast-stable-diffusion
GitHub
GitHub - TheLastBen/fast-stable-diffusion: fast-stable-diffusion + DreamBooth
fast-stable-diffusion + DreamBooth. Contribute to TheLastBen/fast-stable-diffusion development by creating an account on GitHub.
Show HN: Koda Validate – Typesafe, combinable validation for Python
https://github.com/keithasaurus/koda-validate
https://github.com/keithasaurus/koda-validate
GitHub
GitHub - keithasaurus/koda-validate: Typesafe, Composable Validation
Typesafe, Composable Validation. Contribute to keithasaurus/koda-validate development by creating an account on GitHub.
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/
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/
React and Django Tutorial
Dynamically update periodic tasks in Celery and Django
Celery is a popular distributed tasks queue. It is often used with Django framework to process heavy computational tasks in the background. You can add a single task to the queue or define periodic tasks. Periodic tasks are automatically scheduled for execution…
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
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
NY Times
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…