📘 Introduction Data is only as useful as your ability to explore and understand it. But building an interface to analyze and visualize your DataFrame often feels like a full-blown front-end project. That’s where Streamlit saves the day. In this tutorial, you’ll learn how to build a data app...
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 Gradio, you can quickly build interactive chatbots and demos with a simple, web-based user interface—without worrying about backend frameworks. In this tutorial,...
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 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 The Data Science experience in Microsoft Fabric simplifies the end-to-end machine learning process by enabling users to effortlessly create, train, and deploy Machine Learning Models. In this tutorial, we will explain step-by-step how to create a Machine Learning Model in Fabric. Step 1: Sign in to Fabric First, sign...
Introduction Data comes in different forms, each with its own characteristics and challenges. Basically, there are three main categories of data: Structured, Semi-structured and Unstructured Data. In this tutorial, we explore the characteristics and some examples for each kind of data. Structured Data First, let's have a look...
Introduction In this tutorial, we show you step-by-step how to set up a Python virtual environment on your Mac. Why Use a Virtual Environment? A virtual environment allows you to create isolated environments for different Python projects. This helps to avoid conflicts between project dependencies and ensures that each project...
Introduction In this tutorial, we want to show different ways how to create an array. In order to create an array, we use the functions array(), zeros(), arange() and linespace() of NumPy. Import Libraries First, we import the following python module: import numpy as np Array function NumPy offers different...
Introduction In this tutorial, we want to join NumPy arrays along different axes. In order to do this, we use the functions hstack(), vstack() and dstack() of NumPy. Import Libraries First, we import the following python module: import numpy as np Define Data Let's consider two arrays a...