List of 87 Programming Ideas for Beginners (with Python implementations)
https://www.reddit.com/r/Python/comments/1nitzoz/list_of_87_programming_ideas_for_beginners_with/
https://www.reddit.com/r/Python/comments/1nitzoz/list_of_87_programming_ideas_for_beginners_with/
Reddit
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Mini-o3
Scaling Up Reasoning Patterns and Interaction Turns for Visual Search.
https://mini-o3.github.io/
Scaling Up Reasoning Patterns and Interaction Turns for Visual Search.
https://mini-o3.github.io/
Sphinx Docs Instantly in Your Browser (MyST Markdown + reStructuredText)
Edit and preview reStructuredText or MyST Markdown instantly in a Sphinx running in a browser. Runs entirely in Python using WebAssembly, so it’s private, fast, and ideal for learning markup.
https://snippets.documatt.com
Edit and preview reStructuredText or MyST Markdown instantly in a Sphinx running in a browser. Runs entirely in Python using WebAssembly, so it’s private, fast, and ideal for learning markup.
https://snippets.documatt.com
Documatt
Sphinx reStucturedText and Markdown online preview and editor
Preview and edit reStructuredText or Markdown (MyST) documents online with Sphinx and Docutils without installing it.
Just for fun: animating a mosaic of 90s GIFs
The post describes an experiment in animating a mosaic of vintage 90s GIFs collected from the GeoCities archive, using HTML Canvas for random, lively playback. It celebrates the playful aesthetics of early web graphics and highlights the technical and nostalgic joy of reintroducing these classic GIFs into a modern browser setting.
https://alexplescan.com/posts/2025/09/15/gifs/
The post describes an experiment in animating a mosaic of vintage 90s GIFs collected from the GeoCities archive, using HTML Canvas for random, lively playback. It celebrates the playful aesthetics of early web graphics and highlights the technical and nostalgic joy of reintroducing these classic GIFs into a modern browser setting.
https://alexplescan.com/posts/2025/09/15/gifs/
Alex Plescan
Just for fun: animating a mosaic of 90s GIFs
How I built a scrolling GIF mosaic for Battle of the Tech Bands: p5.js/WebGL, CRT shader, perceptual hashing, and NSFW filtering on GeoCities classics
JiraTUI
A Textual User Interface for interacting with Atlassian Jira from your shell.
https://github.com/whyisdifficult/jiratui
A Textual User Interface for interacting with Atlassian Jira from your shell.
https://github.com/whyisdifficult/jiratui
GitHub
GitHub - whyisdifficult/jiratui: A Textual User Interface for interacting with Atlassian Jira from your shell
A Textual User Interface for interacting with Atlassian Jira from your shell - whyisdifficult/jiratui
Tiny LLM - LLM Serving in a Week
A course of learning LLM inference serving on Apple Silicon for systems engineers: build a tiny vLLM + Qwen.
https://skyzh.github.io/tiny-llm/
A course of learning LLM inference serving on Apple Silicon for systems engineers: build a tiny vLLM + Qwen.
https://skyzh.github.io/tiny-llm/
ApeRAG
Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment
https://github.com/apecloud/ApeRAG
Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment
https://github.com/apecloud/ApeRAG
GitHub
GitHub - apecloud/ApeRAG: ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s…
ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment - apecloud/ApeRAG
Nallely – A Python signals/MIDI processing system inspired by Smalltalk
https://dr-schlange.github.io/nallely-midi/
https://dr-schlange.github.io/nallely-midi/
Nallely MIDI
Nallely MIDI · Nallely MIDI
Nallely is an experimental organic system for advanced MIDI patching, live coding, generative music, and multimodal art, built for hacker/musicians, developed in Python, inspired by Smalltalk and Systems as Living Things
Context Engineering - Short-Term Memory Management with Sessions from OpenAI Agents SDK
The guide demonstrates how to use the OpenAI Agents SDK’s Session object to manage short-term memory in AI agents, enabling context trimming and compression for efficient, coherent, and cost-effective multi-turn conversations. Effective session memory ensures agents maintain relevant history across turns while reducing noise, latency, and error risk in longer interactions.
https://cookbook.openai.com/examples/agents_sdk/session_memory
The guide demonstrates how to use the OpenAI Agents SDK’s Session object to manage short-term memory in AI agents, enabling context trimming and compression for efficient, coherent, and cost-effective multi-turn conversations. Effective session memory ensures agents maintain relevant history across turns while reducing noise, latency, and error risk in longer interactions.
https://cookbook.openai.com/examples/agents_sdk/session_memory
Openai
Context Engineering - Short-Term Memory Management with Sessions from OpenAI Agents SDK | OpenAI Cookbook
AI agents often operate in long-running, multi-turn interactions, where keeping the right balance of context is critical. If too much is...
Semlib
Build data processing and data analysis pipelines that leverage the power of LLMs.
https://github.com/anishathalye/semlib
Build data processing and data analysis pipelines that leverage the power of LLMs.
https://github.com/anishathalye/semlib
GitHub
GitHub - anishathalye/semlib: Build data processing and data analysis pipelines that leverage the power of LLMs 🧠
Build data processing and data analysis pipelines that leverage the power of LLMs 🧠 - anishathalye/semlib
Python Tutorial: Build an AI-assisted Reddit Scraping Pipeline
The video provides an in-depth, hands-on tutorial for building a resilient, AI-assisted Reddit scraping pipeline in Python, covering everything from Jupyter prototyping and LangChain agents to a Django-based background worker architecture. It teaches viewers to automate web scraping, integrate Google’s Gemini LLM for query refinement, and store structured results in PostgreSQL, suitable ...
https://www.youtube.com/watch?v=XI-iP-qk_Vk
The video provides an in-depth, hands-on tutorial for building a resilient, AI-assisted Reddit scraping pipeline in Python, covering everything from Jupyter prototyping and LangChain agents to a Django-based background worker architecture. It teaches viewers to automate web scraping, integrate Google’s Gemini LLM for query refinement, and store structured results in PostgreSQL, suitable ...
https://www.youtube.com/watch?v=XI-iP-qk_Vk
YouTube
Python Tutorial: Build an AI-assisted Reddit Scraping Pipeline
🚀 Sign up for Bright Data right now: https://brdta.com/cfe
Automatically find and track topics you care about across Reddit posts. From camping to the latest in AI news, this course will show you how to build a powerful and resilient system in Python.
…
Automatically find and track topics you care about across Reddit posts. From camping to the latest in AI news, this course will show you how to build a powerful and resilient system in Python.
…
Defeating Nondeterminism in LLM Inference
LLM inference is often nondeterministic even with temperature set to zero, primarily due to batch-size-dependent kernel behaviors that change results based on server load rather than randomness or floating-point issues. The solution is to use batch-invariant kernels, ensuring reproducible outputs even in high-concurrency environments, which is now possible but may come with some efficien...
https://thinkingmachines.ai/blog/defeating-nondeterminism-in-llm-inference
LLM inference is often nondeterministic even with temperature set to zero, primarily due to batch-size-dependent kernel behaviors that change results based on server load rather than randomness or floating-point issues. The solution is to use batch-invariant kernels, ensuring reproducible outputs even in high-concurrency environments, which is now possible but may come with some efficien...
https://thinkingmachines.ai/blog/defeating-nondeterminism-in-llm-inference
Thinking Machines Lab
Defeating Nondeterminism in LLM Inference
Reproducibility is a bedrock of scientific progress. However, it’s remarkably difficult to get reproducible results out of large language models.
For example, you might observe that asking ChatGPT the same question multiple times provides different results.…
For example, you might observe that asking ChatGPT the same question multiple times provides different results.…
ROMA
A meta-agent framework to build high-performance multi-agent systems.
https://github.com/sentient-agi/ROMA
A meta-agent framework to build high-performance multi-agent systems.
https://github.com/sentient-agi/ROMA
GitHub
GitHub - sentient-agi/ROMA: Recursive-Open-Meta-Agent v0.1 (Beta). A meta-agent framework to build high-performance multi-agent…
Recursive-Open-Meta-Agent v0.1 (Beta). A meta-agent framework to build high-performance multi-agent systems. - sentient-agi/ROMA
Alibaba-NLP / DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
https://github.com/Alibaba-NLP/DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
https://github.com/Alibaba-NLP/DeepResearch
GitHub
GitHub - Alibaba-NLP/DeepResearch: Tongyi Deep Research, the Leading Open-source Deep Research Agent
Tongyi Deep Research, the Leading Open-source Deep Research Agent - Alibaba-NLP/DeepResearch
PyCon Australia 2025
PyCon Australia 2025 talks videos are available now.
https://www.youtube.com/playlist?list=PLs4CJRBY5F1LRkAAUwbqHNGPBlxDkrz-3
PyCon Australia 2025 talks videos are available now.
https://www.youtube.com/playlist?list=PLs4CJRBY5F1LRkAAUwbqHNGPBlxDkrz-3
YouTube
PyCon Australia 2025
Share your videos with friends, family, and the world
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riffq
A toolkit for building PostgreSQL wire-compatible databases in Python, powered by Rust for performance and concurrency.
https://github.com/ybrs/riffq
A toolkit for building PostgreSQL wire-compatible databases in Python, powered by Rust for performance and concurrency.
https://github.com/ybrs/riffq
GitHub
GitHub - ybrs/riffq
Contribute to ybrs/riffq development by creating an account on GitHub.
Tricks from OpenAI gpt-oss YOU ?? can use with transformers
The post details major upgrades that allow models like OpenAI’s GPT-OSS to run, fine-tune, and scale efficiently, including zero-build kernels, 4-bit MXFP4 quantization, tensor and expert parallelism, dynamic layerwise caching, and continuous batching. These improvements cut memory usage, boost speed, and enable larger models to run on affordable hardware, making cutting-edge techniques ...
https://huggingface.co/blog/faster-transformers
The post details major upgrades that allow models like OpenAI’s GPT-OSS to run, fine-tune, and scale efficiently, including zero-build kernels, 4-bit MXFP4 quantization, tensor and expert parallelism, dynamic layerwise caching, and continuous batching. These improvements cut memory usage, boost speed, and enable larger models to run on affordable hardware, making cutting-edge techniques ...
https://huggingface.co/blog/faster-transformers
huggingface.co
Tricks from OpenAI gpt-oss YOU 🫵 can use with transformers
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
VeritasGraph
Enterprise-Grade Graph RAG for Secure, On-Premise AI with Verifiable Attribution.
https://github.com/bibinprathap/VeritasGraph
Enterprise-Grade Graph RAG for Secure, On-Premise AI with Verifiable Attribution.
https://github.com/bibinprathap/VeritasGraph
GitHub
GitHub - bibinprathap/VeritasGraph: VeritasGraph: Enterprise-Grade Graph RAG for Secure, On-Premise AI with Verifiable Attribution
VeritasGraph: Enterprise-Grade Graph RAG for Secure, On-Premise AI with Verifiable Attribution - bibinprathap/VeritasGraph