Introduction The Hugging Face Inference API makes it easy to send prompts to large language models (LLMs) hosted on the Hugging Face Hub. By combining this with FastAPI—a modern Python web framework—you can build scalable, production-ready APIs that serve LLM-powered responses to your applications. In this tutorial, you’...
Introduction Want to start with dbt core but don’t know where to begin? Don’t worry! In this tutorial, we'll walk through setting up a new dbt project from scratch - we cover the entire process from creating a virtual environment to initializing your project and verifying...
Introduction The Hugging Face Inference API is a powerful service that lets you interact with large language models (LLMs) hosted on the Hugging Face Hub. Whether you’re building chatbots, summarization tools, or other AI-powered applications, the Inference API makes it simple to send prompts to an LLM and receive...
Introduction shadcn/ui is a modern component library built for Next.js and React applications. It offers beautifully designed, accessible UI components that you can customize and extend to fit your design system. Whether you're prototyping a startup app or building an enterprise-grade product, shadcn/ui helps you...
Introduction Modern data work doesn’t always require complex infrastructure. If you're looking for a fast, local-first analytics stack, dbt + DuckDB is a powerful combination. In this tutorial, we'll walk through connecting dbt to DuckDB — perfect for analysts, developers, and data enthusiasts who want simplicity without...
Introduction In dbt, the dbt_project.yml file is the backbone of your project configuration. It controls how dbt behaves, where it looks for different resource types, and how your models are materialized and organized. In this tutorial, we'll walk through a sample dbt_project.yml file and...
Introduction Next.js is a powerful React framework that enables developers to build fast, scalable web applications with server-side rendering, static site generation, and API routes—all out of the box. Whether you're building a personal blog or an enterprise-grade application, Next.js offers the flexibility and performance...
Introduction When working with PySpark DataFrames, understanding the statistical properties of your data is crucial for data exploration and preprocessing. PySpark provides the describe() and summary() functions to generate useful summary statistics. In this tutorial, we’ll explore how to use both functions to get insights into our dataset. 📥 Import...
Introduction Microsoft Fabric enables seamless data integration by allowing users to create connections to various data sources. For the DP-600 certification exam, understanding how to set up a data connection in Fabric is essential for managing data efficiently. In this tutorial, you'll learn how to create a new...
