A crash course in Python “comprehensions” and “generators”
https://medium.com/@petefison/a-crash-course-in-python-comprehensions-and-generators-f069c8f8ca38
https://medium.com/@petefison/a-crash-course-in-python-comprehensions-and-generators-f069c8f8ca38
Medium
A crash course in Python “comprehensions” and “generators”
Master them in 20 minutes. Use them every day.
Natural Language Processing Demystified
A free, comprehensive course to turn you into an NLP expert.
https://www.nlpdemystified.org/
A free, comprehensive course to turn you into an NLP expert.
https://www.nlpdemystified.org/
www.nlpdemystified.org
Natural Language Processing Demystified
A free, accessible course on Natural Language Processing with 15 modules and 9 notebooks of theory and practice, clearly explained.
Learn Python GUI Development for Desktop
Learn how to use Qt for Python using PySide6 to build cross platform desktop apps for Windows, Mac and Linux.
https://www.youtube.com/watch?v=Z1N9JzNax2k
Learn how to use Qt for Python using PySide6 to build cross platform desktop apps for Windows, Mac and Linux.
https://www.youtube.com/watch?v=Z1N9JzNax2k
YouTube
Learn Python GUI Development for Desktop – PySide6 and Qt Tutorial
Learn how to use Qt for Python using PySide6 to build cross platform desktop apps for Windows, Mac and Linux.
💻 Source code: https://github.com/rutura/Qt-For-Python-PySide6-GUI-For-Beginners-The-Fundamentals-
✏️ Course developed by Daniel Gakwaya. Check…
💻 Source code: https://github.com/rutura/Qt-For-Python-PySide6-GUI-For-Beginners-The-Fundamentals-
✏️ Course developed by Daniel Gakwaya. Check…
Introducing PyTorch 2.0
In this post, you will find all the information you need to better understand what PyTorch 2.0 is, where it’s going and more importantly how to get started today (e.g., tutorial, requirements, models, common FAQs).
https://pytorch.org/get-started/pytorch-2.0/
In this post, you will find all the information you need to better understand what PyTorch 2.0 is, where it’s going and more importantly how to get started today (e.g., tutorial, requirements, models, common FAQs).
https://pytorch.org/get-started/pytorch-2.0/
What is your favorite ,most underrated 3rd party python module that made your programming 10 times more easier and less code ? so we can also try that out :-) .as a beginner , mine is pyinputplus
https://www.reddit.com/r/Python/comments/zc3mvf/what_is_your_favorite_most_underrated_3rd_party/
https://www.reddit.com/r/Python/comments/zc3mvf/what_is_your_favorite_most_underrated_3rd_party/
reddit
What is your favorite ,most underrated 3rd party python module...
Posted in r/Python by u/Sandeev_Perera • 672 points and 207 comments
Roboflow 100: A New Object Detection Benchmark
Advancing the state-of-the-art in object recognition with a new way to benchmark computer vision models across domains and task targets.
https://www.rf100.org/
Advancing the state-of-the-art in object recognition with a new way to benchmark computer vision models across domains and task targets.
https://www.rf100.org/
www.rf100.org
Roboflow 100: A New Object Detection Benchmark
Advancing the state-of-the-art in object recognition with a new way to benchmark computer vision models across domains and task targets.
DreamShard
This is the implementation for the paper DreamShard: Generalizable Embedding Table Placement for Recommender Systems. We propose DreamShard, a reinforcement learning approach for embedding table placement.
https://github.com/daochenzha/dreamshard
This is the implementation for the paper DreamShard: Generalizable Embedding Table Placement for Recommender Systems. We propose DreamShard, a reinforcement learning approach for embedding table placement.
https://github.com/daochenzha/dreamshard
GitHub
GitHub - daochenzha/dreamshard: [NeurIPS 2022] DreamShard: Generalizable Embedding Table Placement for Recommender Systems
[NeurIPS 2022] DreamShard: Generalizable Embedding Table Placement for Recommender Systems - GitHub - daochenzha/dreamshard: [NeurIPS 2022] DreamShard: Generalizable Embedding Table Placement for R...
terminal-copilot
A smart terminal assistant that helps you find the right command.
https://github.com/Methexis-Inc/terminal-copilot
A smart terminal assistant that helps you find the right command.
https://github.com/Methexis-Inc/terminal-copilot
GitHub
GitHub - kafischer/terminal-copilot: A smart terminal assistant that helps you find the right command.
A smart terminal assistant that helps you find the right command. - kafischer/terminal-copilot
openai / baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
https://github.com/openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
https://github.com/openai/baselines
GitHub
GitHub - openai/baselines: OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms - openai/baselines
It’s time to stop using Python 3.7
Python 3.7 will stop getting security updates in June 2023. Given the existence of 3.8, 3.9, 3.10, and 3.11, you really should upgrade.
https://pythonspeed.com/articles/stop-using-python-3.7/
Python 3.7 will stop getting security updates in June 2023. Given the existence of 3.8, 3.9, 3.10, and 3.11, you really should upgrade.
https://pythonspeed.com/articles/stop-using-python-3.7/
Python⇒Speed
It’s time to stop using Python 3.7
Python 3.7 will stop getting security updates in July 2023. Given the existence of 3.8, 3.9, 3.10, and 3.11, you really should upgrade.
An Introduction to Monitoring Microservices with Prometheus and Grafana
This article will introduce how you can set up monitoring on your microservice application using two of the popular tools in this space, Prometheus , and Grafana .
https://navendu.me/posts/introduction-to-monitoring-microservices/
This article will introduce how you can set up monitoring on your microservice application using two of the popular tools in this space, Prometheus , and Grafana .
https://navendu.me/posts/introduction-to-monitoring-microservices/
Navendu Pottekkat
An Introduction to Monitoring Microservices with Prometheus and Grafana
This tutorial walks you through setting up monitoring on a microservice application using Prometheus and Grafana.
Text-to-Image: Diffusion, Text Conditioning, Guidance, Latent Space
The fundamentals of text-to-image generation, relevant papers, and experimenting with DDPM.
https://eugeneyan.com/writing/text-to-image/
The fundamentals of text-to-image generation, relevant papers, and experimenting with DDPM.
https://eugeneyan.com/writing/text-to-image/
eugeneyan.com
Text-to-Image: Diffusion, Text Conditioning, Guidance, Latent Space
The fundamentals of text-to-image generation, relevant papers, and experimenting with DDPM.
Python Functions Master Class 2023
Master Functions in Python and Deploy to AWS, GCP, and Azure while learning click, pythonfire and FastAPI.
https://www.youtube.com/watch?v=d-stFeiJl6c
Master Functions in Python and Deploy to AWS, GCP, and Azure while learning click, pythonfire and FastAPI.
https://www.youtube.com/watch?v=d-stFeiJl6c
YouTube
Python Functions Master Class 2023
#Python Functions Master Class 2023: Master Functions in Python and Deploy to #AWS, #GCP, and #Azure. Master Functions in Python and Deploy to AWS, GCP, and Azure while learning #click, #pythonfire and #FastAPI
If you enjoyed this video, here are additional…
If you enjoyed this video, here are additional…
bricks
Open-source natural language enrichments at your fingertips.
https://github.com/code-kern-ai/bricks
Open-source natural language enrichments at your fingertips.
https://github.com/code-kern-ai/bricks
GitHub
GitHub - code-kern-ai/bricks: Open-source natural language enrichments at your fingertips.
Open-source natural language enrichments at your fingertips. - GitHub - code-kern-ai/bricks: Open-source natural language enrichments at your fingertips.
Finding JIT Optimizer Bugs using SMT Solvers and Fuzzing
This post describes a recent bug finding technique that I've added to the PyPy JIT testing infrastructure. This technique uses the Z3 theorem prover to find bugs in the optimizer of PyPy's JIT, in particular its integer operation optimizations.
https://www.pypy.org/posts/2022/12/jit-bug-finding-smt-fuzzing.html
This post describes a recent bug finding technique that I've added to the PyPy JIT testing infrastructure. This technique uses the Z3 theorem prover to find bugs in the optimizer of PyPy's JIT, in particular its integer operation optimizations.
https://www.pypy.org/posts/2022/12/jit-bug-finding-smt-fuzzing.html
PyPy
Finding JIT Optimizer Bugs using SMT Solvers and Fuzzing
In this blog post I want to describe a recent bug finding technique that I've
added to the PyPy JIT testing infrastructure. This technique uses the Z3
theorem prover to find bugs in the optimizer of P
added to the PyPy JIT testing infrastructure. This technique uses the Z3
theorem prover to find bugs in the optimizer of P