PythonHub
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Human-curated Python news, projects, articles & tools. https://pythonhub.dev/
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Postlar arxiv
2 657
Working with Large Data Sets Made Easy: Understanding Pandas Data Types
In this video, we'll show you how to use the Pandas library to make working with large datasets easy. You'll learn about the different data types that Pandas supports and see some examples of how to use them to optimize your memory usage.
https://www.youtube.com/watch?v=uVy23GEehpc
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evals
Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks.
https://github.com/openai/evals
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Distributed Machine Learning at Instacart
How Instacart uses distributed Machine Learning to efficiently train thousands of models in production.
https://tech.instacart.com/distributed-machine-learning-at-instacart-4b11d7569423
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The quantum state of a TCP port
If I navigate to https://blog.cloudflare.com/, my browser will connect to a remote TCP address from the local IP address assigned to my machine, and a randomly chosen local TCP port. What happens if I then decide to head to another site? Is it possible to establish a new TCP connection from the same local IP address and port?
https://blog.cloudflare.com/the-quantum-state-of-a-tcp-port/
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nanoT5
Fast & Simple repository for pre-training and fine-tuning T5-style models.
https://github.com/PiotrNawrot/nanoT5
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Could you train a ChatGPT-beating model for $85,000 and run it in a browser?
https://simonwillison.net/2023/Mar/17/beat-chatgpt-in-a-browser
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Caching and Django Rest Framework
https://www.screamingatmyscreen.com/caching-and-django-rest-framework/
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Tracking the Fake GitHub Star Black Market with Dagster, dbt and BigQuery
It's easy for an open-source project to buy fake GitHub stars. We share two approaches for detecting them.
https://dagster.io/blog/fake-stars
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Python and SLSA
Supply chain Layers for Software Artifacts (SLSA) is a framework of tools to generate and verify provenance for software artifacts. In the Python ecosystem there are two main types of software artifacts: wheels and source distributions. How can we use the SLSA framework to generate and verify the provenance of Python artifacts?
https://sethmlarson.dev/python-and-slsa
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No-async async with Python
https://textual.textualize.io/blog/2023/03/15/no-async-async-with-python/
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stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
https://github.com/tatsu-lab/stanford_alpaca
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creosote
Identify unused dependencies and avoid a bloated virtual environment.
https://github.com/fredrikaverpil/creosote
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How to Generate Images Using the OpenAI API and DALL·E 2 in Python
In this tutorial, you'll learn how to use OpenAI's API with Python to generate, edit, and vary images using natural language prompts.
https://www.makeuseof.com/generate-images-using-openai-api-dalle-python/
