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EuroPython 2023 Videos
Here are all the videos for the conference, brought to you by the EuroPython 2023 Team and the EuroPython Society.
https://www.youtube.com/playlist?list=PL8uoeex94UhFcwvAfWHybD7SfNgIUBRo-
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Python 3.12.0 release candidate 3 now available
https://pythoninsider.blogspot.com/2023/09/python-3120-release-candidate-3-now.html
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neulab / prompt2model
prompt2model - Generate Deployable Models from Natural Language Instructions
https://github.com/neulab/prompt2model
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HomeHarvest
Python package for real estate scraping, supporting Zillow, Realtor.com & Redfin.
https://github.com/ZacharyHampton/HomeHarvest
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Galactic
Galactic provides cleaning and curation tools for massive unstructured text datasets. It's designed to help you curate fine-tuning datasets, create document collections for retrieval-augmented generation (RAG), and even perform deduplication of web-scale datasets for LLM pre-training. This
https://github.com/taylorai/galactic
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ludwig-ai / ludwig
Low-code framework for building custom LLMs, neural networks, and other AI models
https://github.com/ludwig-ai/ludwig
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How to add serverless functions to Django in 6 minutes (with HTMX and AWS Lambda)
This article discusses the integration of serverless functions with Django, highlighting how developers can leverage the benefits of serverless computing for specific tasks in a Django application. It explores the advantages of serverless architecture and provides practical insights for implementation.
https://www.photondesigner.com/articles/serverless-functions-django
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Why does Python Code Run Faster in a Function?
https://www.reddit.com/r/Python/comments/16mskc9/why_does_python_code_run_faster_in_a_function/
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Litestar
Litestar is a powerful, flexible yet opinionated ASGI framework, focused on building APIs, and offers high-performance data validation and parsing, dependency injection, first-class ORM integration, authorization primitives, and much more that's needed to get applications up and running.
https://github.com/litestar-org/litestar
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Medusa
Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads.
https://github.com/FasterDecoding/Medusa
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blip-caption
Generate captions for images with Salesforce BLIP.
https://github.com/simonw/blip-caption
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Processing a 250 TB dataset with Coiled, Dask, and Xarray
The authors successfully processed 250TB of geospatial cloud data in 20 minutes using Xarray, Dask, and Coiled, highlighting the challenges and optimizations involved, all while keeping the cost at approximately $25. This achievement demonstrates the feasibility of large-scale data processing, exposes scalability issues, and explores cost-efficient strategies for such tasks.
https://blog.coiled.io/blog/coiled-xarray.html
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Deploying Django with Kamal (mrsk)
If you just want to deploy containers on a remote machine, Kamal might be a nice addition to your toolbelt. It automates many common steps when deploying containers to one or more remote machines, without introducing the complexity of something like Kubernetes or having to use a managed service.
https://anthonynsimon.com/blog/kamal-deploy/
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Add database search with Django and HTMX
We'll create a fast and simple database search using Django and HTMX. It's easy and fast to do with HTMX. There'll be 6 steps.
https://www.photondesigner.com/articles/database-search-django-htmx
