#Python

'Step-by-step guide to create a dynamic Bokeh dashboard with linked plots, interactive filters, color mapping and client-side CustomJS interactivity.'

'A practical tutorial showing how to build a local AI agent that thinks, plans, and controls a simulated desktop with step-by-step Python code and examples.'

'Step-by-step example showing how Directory, Seller, and Buyer agents use uAgents to discover services, negotiate offers, and complete orders.'

'Learn how to build a Streamlit human handoff interface for a Parlant-powered insurance agent so human operators can join live sessions and respond in real time.'

'Step-by-step guide to build an autonomous agent that analyzes time series, selects a Darts model with LLM-aided reasoning, forecasts, explains, and visualizes results.'

'Run MATLAB-style Octave code directly from Python using oct2py: exchange arrays, call .m functions, plot Octave figures in Colab, and use Octave toolboxes seamlessly.'

'Hands-on Zarr guide showing chunk strategies, codec benchmarks, hierarchical organization, advanced indexing and visualizations — complete with full Python examples.'

A hands-on guide to building a compact pipeline with SpeechBrain that generates speech, adds noise, enhances audio with MetricGAN+, and measures ASR word error rates before and after denoising

'Hands-on tutorial for a full Gensim-based NLP pipeline: preprocessing, LDA topics, Word2Vec embeddings, TF-IDF similarity and semantic search, ready for Colab.'

A practical tutorial showing how to run a brain-inspired hierarchical reasoning agent locally with a free Hugging Face model, using planning, code-based solvers, critique, and synthesis.

'Step-by-step overview of a Colab-ready multi-round research system using Gemini for extraction and DuckDuckGo for quick web snippets, culminating in automated reports.'

'Practical QuTiP guide showing how to prepare states, simulate dynamics and visualize decoherence and entanglement with ready-to-run code.'

'A hands-on walkthrough showing how to orchestrate multiple Python tools with Parsl in parallel, aggregate their outputs, and produce a concise human-readable summary using a small Hugging Face model.'

A practical tutorial that builds a modular conversational AI agent using Pipecat and HuggingFace, with full code examples for inference, display, and an async pipeline demo.

Explore a detailed tutorial on building an end-to-end object tracking and analytics system using Roboflow Supervision, combining detection, tracking, and zone-based analytics with real-time annotations.

Trackio is a free, open-source Python library that simplifies experiment tracking in machine learning by providing local-first data storage, seamless Hugging Face integration, and easy sharing via online dashboards.

Discover how to use Mirascope to implement the Self-Refine technique with Large Language Models, enabling iterative improvement of AI-generated responses for enhanced accuracy.

This tutorial demonstrates building a medical knowledge graph from unstructured patient logs using GPT-4o-mini and Python, enabling efficient extraction and visualization of medical insights.

Explore the development of a multi-node graph AI agent framework that automates complex tasks using Google Gemini API and Python, demonstrated through research and problem-solving agents.

Discover how to leverage Mirascope and OpenAI's GPT-4o model to identify and remove semantically duplicate customer reviews, enhancing feedback clarity.

Discover how MLflow integrates with OpenAI Agents SDK to automatically log and trace multi-agent interactions and implement guardrails for safer AI responses.

Discover how to create a weather agent in Python using the Agent Communication Protocol (ACP), enabling smooth AI agent communication and weather data fetching.

Explore a comprehensive tutorial on creating a functional data analysis pipeline with Lilac and Python, focusing on modular, reusable code for data transformation and filtering.

Learn how to build a custom AI data analysis tool combining machine learning and statistics with LangChain to empower AI agents with actionable insights.

This tutorial guides you through building and analyzing a complex Alzheimer's disease knowledge graph using PyBEL within Google Colab, including advanced network metrics and visualization.

Explore Microsoft Presidio’s capabilities for detecting and anonymizing PII in text with practical Python examples, including custom recognizers and hash-based anonymization.

DeepSeek researchers released nano-vLLM, a compact and efficient Python implementation of the vLLM engine that balances simplicity with performance for LLM inference.

This tutorial guides you through building a random number agent following Google's A2A protocol with Python, covering setup, implementation, and client interaction.

Discover how to combine Google Gemini with Pandas and LangChain to perform natural language data analysis on the Titanic dataset, enabling interactive and code-free data insights.

Discover how to build a powerful web intelligence agent combining Tavily and Google Gemini AI to extract and analyze web content interactively.

This guide demonstrates how to create a math-solving agent using Mistral Agents API, featuring code interpretation and conversation memory for enhanced AI interactions.

Explore building a scalable multi-agent communication system using ACP and Google's Gemini API with detailed Python code examples and practical scenarios.

This guide explains how to use the Synthetic Data Vault (SDV) library to create realistic synthetic tabular data, covering installation, metadata preparation, data generation, and quality evaluation.

AWS AI Labs has launched SWE-PolyBench, an open-source, multilingual benchmark designed to evaluate AI coding agents with real-world coding tasks across multiple languages, improving upon previous limited benchmarks.