In this tutorial, we build a Prefab application that demonstrates how to create interactive dashboards entirely in Python. We use […]
Category: Tutorials
Crawlee for Python: Build a Web Crawling Pipeline with Robots Handling, Link Graphs, and RAG Chunk Export
In this tutorial, we build a full Crawlee-for-Python workflow that covers environment setup, local website generation, static crawling, dynamic crawling, […]
How to Build a Forecasting Pipeline with TimeCopilot Using Foundation Models and Automated Anomaly Detection
In this tutorial, we build an end-to-end forecasting workflow with TimeCopilot. We prepare a panel dataset containing real airline passenger […]
Salesforce CodeGen Tutorial: Generate, Validate, and Rerank Python Functions With Unit Tests and Safety Checks
In this tutorial, we implement an end-to-end workflow for Salesforce CodeGen. We load a CodeGen model from Hugging Face, prepare […]
NVIDIA SkillSpector Guide: Scanning AI Skills for Security Risks with Static Analysis and SARIF Reports
In this tutorial, we explore how NVIDIA SkillSpector helps us evaluate AI skills for security risks before they are used […]
How to Build Memory-Efficient Transformers with xFormers Using Packed Sequences, GQA, ALiBi, SwiGLU, and Causal Attention
In this tutorial, we implement xFormers: a practical toolkit for building fast, memory-efficient Transformer models on GPUs. We begin by […]
How to Build a Parsing Pipeline with Docling Parse for Layout-Aware Document Intelligence
In this tutorial, we build a workflow for using Docling Parse to analyze PDF documents at a detailed structural level. […]
A Coding Hands-On on FineWeb for Streaming, Filtering, Deduplication, Tokenization, and Large-Scale Web Corpus Analytics
In this tutorial, we explore the FineWeb dataset through an advanced hands-on workflow. We stream a manageable sample of the […]
How to Build a QwenPaw Agent Workspace with Custom Skills, Model Providers, Console Access, and Streaming API Testing
In this tutorial, we implement a QwenPaw workflow that provides a practical environment for building and testing an agent-powered assistant. […]
A Coding Implementation on Spatial Graph Neural Networks for Urban Function Inference Using city2graph, OSMnx, and PyTorch Geometric
In this tutorial, we build an end-to-end spatial graph learning pipeline using city2graph. We start by collecting real urban POI […]