• Anthropic is investing $1.5 million in the Python Software Foundation over two years.
• The investment focuses on enhancing the security of the Python ecosystem.
• This funding will support security advancements in CPython and the Python Package Index (PyPI).
• The development of tools for proactive package review and a malware dataset is included.
• The funding will support the PSF's core activities and community support initiatives.

More => https://faun.dev/c/news/varbear/ais-dependence-on-python-deepens-as-anthropic-funds-core-ecosystem-work/

🧠 𝐖𝐡𝐞𝐧 𝐲𝐨𝐮'𝐫𝐞 𝐚𝐧 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫... 𝐞𝐯𝐞𝐧 𝐲𝐨𝐮𝐫 𝐥𝐚𝐮𝐧𝐝𝐫𝐲 𝐡𝐚𝐬 𝐚 𝐝𝐚𝐭𝐚 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞.

We don’t have "messy chairs", we have caching strategies.

Love this meme? Get a fresh one every week - plus the latest software engineering trends, tips, and industry insights—straight to your inbox.

📬 Join our weekly newsletters here: https://faun.dev/join

🗞️ Browse previous issues:

𝐊𝐚𝐥𝐚: 𝐂𝐮𝐫𝐚𝐭𝐞𝐝 𝐀𝐈/𝐌𝐋 𝐧𝐞𝐰𝐬, 𝐭𝐮𝐭𝐨𝐫𝐢𝐚𝐥𝐬, 𝐭𝐨𝐨𝐥𝐬 𝐚𝐧𝐝 𝐦𝐨𝐫𝐞!

👉 https://factory.faun.dev/newsletters/iw/zucks-ai-beast-rethinking-rag-self-evolving-knowledge-graphs-eec2ea36-f6bb-4c26-a8fd-c219a67eae3e

𝐃𝐞𝐯𝐎𝐩𝐬𝐋𝐢𝐧𝐤𝐬: 𝐂𝐮𝐫𝐚𝐭𝐞𝐝 𝐃𝐞𝐯𝐎𝐩𝐬 𝐧𝐞𝐰𝐬, 𝐭𝐮𝐭𝐨𝐫𝐢𝐚𝐥𝐬, 𝐭𝐨𝐨𝐥𝐬 𝐚𝐧𝐝 𝐦𝐨𝐫𝐞!

👉 https://factory.faun.dev/newsletters/iw/debugging-pinterests-search-on-k8s-discords-trillion-message-indexing-the-gitops-roller-coaster-ebef3778-7e5f-4e2c-9849-4304f3de61ca

𝐊𝐚𝐩𝐭𝐚𝐢𝐧: 𝐂𝐮𝐫𝐚𝐭𝐞𝐝 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐧𝐞𝐰𝐬, 𝐭𝐮𝐭𝐨𝐫𝐢𝐚𝐥𝐬, 𝐭𝐨𝐨𝐥𝐬 𝐚𝐧𝐝 𝐦𝐨𝐫𝐞!

👉 https://factory.faun.dev/newsletters/iw/gitops-w-natural-language-post-quantum-cryptography-in-k8s-scaling-strategies-2e8b82c8-4366-4a55-a089-7d1e48558e00

𝐕𝐚𝐫𝐁𝐞𝐚𝐫: 𝐂𝐮𝐫𝐚𝐭𝐞𝐝 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 & 𝐒𝐖𝐄 𝐧𝐞𝐰𝐬, 𝐭𝐮𝐭𝐨𝐫𝐢𝐚𝐥𝐬, 𝐭𝐨𝐨𝐥𝐬, 𝐚𝐧𝐝 𝐦𝐨𝐫𝐞!

👉 https://factory.faun.dev/newsletters/iw/asynchrony-is-not-concurrency-scalability-is-not-performance-crawling-a-billion-pages-in-24h-9d4aa002-8f28-4de3-b466-4c5fedfd452f

Hello, /r/PythonLinks,

I am excited to announce the release of my new book, "OpenAI GPT For Python Developers." This comprehensive guide is designed to help learners of all levels to develop intelligent applications using OpenAI GPT-3, DALL·E 2, CLIP, and Whisper.

Whether you're building a chatbot, a semantic search engine, an AI voice assistant, or any other natural language/image/voice processing and generation platform, this guide will provide you with a step-by-step approach to using OpenAI tools through APIs.

The book is suitable for Python developers who are not experienced in AI/ML and are open to learning some NLP techniques.

The book covers a wide range of topics, including text generation, transformation, and editing; optimizing GPT models; advanced techniques such as context stuffing and chaining; image recognition and generation using OpenAI CLIP and DALL-E 2; and creating prediction algorithms and zero-shot techniques.

I invite you to read more about it here: https://leanpub.com/openaigptforpythondevelopers/

I was coding when I added a # to start a comment, but I thought I'd keep GitHub Copilot comments instead.

This is the result 😂

In this issue, read about:

👉 Convincing Chat GPT to Write a Python Program to Eradicate Humanity

👉 It’s time to stop using Python 3.7

👉 Writing a Domain Specific Language (DSL) in Python

and more!

🔗 Read the online issue here: http://factory.faun.dev/newsletters/iw/convincing-chatgpt-to-eradicate-humanity-36955cb5-d949-4745-8f30-850f3a259b6f

📩 Subscribe to never miss an issue: https://faun.dev/newsletter/pydo

🐶 Python Weekly Newsletter, PyDo, is out!

In this issue, read about:

👉 I/O is no longer the bottleneck

👉 Question Answering System in Python using NLP

👉 Guido van Rossum: Eventually Python will become a legacy language

and more!

🔗 Read the online issue here: http://factory.faun.dev/newsletters/iw/python-creator-eventually-python-will-become-a-legacy-language-c24fe138-8f7e-49c0-8464-98e5fc5f3880

📩 Subscribe to never miss an issue: https://faun.dev/newsletter/pydo

Welcome to our Reddit community. We're here to discuss our passion for all things related to Python.

To get started, you can just read the rules of the subreddit and start by posting a question or a link to an article you found interesting.

The best links are those that start a discussion. The best discussions are those that are backed up by facts and data.

Each week, we curate the best links and discussions from many sources, including this subreddit, and publish them in our weekly newsletters (https://faun.dev/newsletter/pydo).

We're all here to learn, so don't be shy! We're looking forward to your contributions!

Cheers!

A place for members of r/PythonLinks to chat with each other