📘 Introduction In this hands-on dbt tutorial, we’ll walk you step-by-step through how to create, use, and understand macros — one of dbt’s most powerful features for reusing logic and keeping your SQL clean, modular, and DRY (Don’t Repeat Yourself). By the end, you’ll be able to write...
📘 Introduction Streamlit makes it super easy to build interactive data apps in Python — without needing HTML, CSS, or JavaScript. But sometimes, you want your app to look more polished and visually appealing. One simple way to achieve that is by adding a background image. Whether you want to match your...
📘 Introduction Chatbots are becoming smarter and more useful thanks to agent frameworks. Instead of just responding to messages, agents can plan, call tools, and take actions. With the OpenAI Agents SDK, you can build intelligent assistants that do more than just chat—they can search, calculate, and even connect to...
📘 Introduction Chatbots are becoming smarter and more useful thanks to agent frameworks. Instead of just responding to messages, agents can plan, call tools, and take actions. With the OpenAI Agents SDK, you can build intelligent assistants that do more than just chat—they can search, calculate, and even connect to...
📘 Introduction Streamlit makes it super easy to build interactive apps in Python. But as your app grows — loading datasets, running expensive computations, or calling APIs — you might notice it slows down. The good news: Streamlit has a built-in caching system that stores results of expensive operations and reuses them instead...
📘 Introduction Artificial intelligence (AI) has rapidly evolved, and one of its most impactful applications lies in natural language processing (NLP). From search engines to conversational assistants, AI models power many of the tools we use daily. However, not all AI models are created for the same purpose. Two important categories—...
📘 Introduction Welcome to this hands-on LangChain + LangGraph tutorial! In this guide, we’ll build an AI agent with tool-calling capabilities using LangChain, LangGraph, and OpenAI models. Instead of just answering questions, our agent will be able to invoke a Python function when needed. We’ll demonstrate this with a simple...
