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Chat with Netflix Data and Auto-Generate Charts Using AI (No Coding Needed)

Build a Smart Netflix Dashboard That Answers You with Charts What if you could ask a dataset a question—and get back a chart? In this beginner-friendly tutorial, you’ll create a Streamlit app that does exactly that: Loads Netflix data into your browser Lets you ask questions using plain English Uses AI to answer your question and dynamically generate a chart No coding experience? No problem. Follow these steps and you'll have it running locally in minutes. 🧰 What You’ll Need Python installed from python.org Netflix dataset from Kaggle - Netflix Shows A free OpenAI API key from platform.openai.com You may need to pre-purchase credits to use the API in this sample app. 📁 Setup Instructions Create a folder called netflix-ai-dashboard Place netflix_titles.csv inside that folder Install the required Python libraries: pip install streamlit pandas matplotlib openai 📄 Full App Code ( app.py ) Create a new f...

Simple RAG App Setup: Retrieve Text from PDFs with AI

Building an AI app sounds complicated—but it doesn’t have to be. In this tutorial, you’ll create a simple Retrieval-Augmented Generation (RAG) app that extracts text from PDFs and answers questions about them using an AI model like Claude. Even if you’re brand new to AI, this guide will walk you through every step. By the end, you’ll have a basic app that: Accepts a PDF file Extracts its content Lets you ask questions about it Returns AI-powered answers What You'll Need / Dependencies: To follow along, install the following: Python (3.8+) Download: https://www.python.org/downloads/ Virtual Environment (recommended) Create one in your project folder: python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate Install required packages: In your terminal, run: pip install streamlit pypdf sentence-transformers faiss-cpu anthropic ...

What is RAG? A Super Simple Guide to Retrieval-Augmented Generation

Ever wished your AI assistant could answer questions using your data or documents, not just what it was trained on? That’s exactly what Retrieval-Augmented Generation (RAG) does—and it’s easier to understand than it sounds! In this post, you’ll learn what RAG is, how it works (in plain English), and why it’s so useful—even if you’re just getting started with AI. Let’s go! What You'll Need / Dependencies: No advanced AI knowledge required! Just a basic understanding of how AI chatbots (like ChatGPT or Claude) give answers based on what they were trained on. Step-by-Step: How RAG Works Start with a user question: For example: “What’s our company’s policy on vacation time?” Search your documents: RAG uses a smart search system (like a vector database) to find the most relevant chunks from your own files, PDFs, web pages, or knowledge base. Feed those results into an AI model: The AI reads those chunks and uses them to generate a helpful, grounded answer. ...

Build a Simple AI Assistant with Streamlit & Claude API: A Step-by-Step Guide

Welcome to your first AI-powered assistant tutorial! In this guide, you'll build a simple, interactive AI assistant using Streamlit and the Claude API. By the end, you'll have a fully functioning web app capable of answering questions using artificial intelligence—no fancy coding skills required. Let's dive in! What You'll Need / Dependencies: Here's what you'll need to follow along: Python (version 3.8 or higher): Download Python . Claude API Key: Sign up for a free API key from Anthropic . Streamlit: An easy-to-use framework to create web apps quickly. Anthropic Python library: To communicate with the Claude API. Installing Dependencies: Create a new folder, open your terminal (or command prompt), and navigate into it. Run these commands: python -m venv venv source venv/bin/activate # (macOS/Linux) .\venv\Scripts\activate # (Windows) pip install streamlit anthropic Step-by-Step Instructions: Step 1: Setting Up Your Project S...

Create Your First Web App with Streamlit (No Experience Needed!)

Ever dreamed of creating your own interactive web apps but thought coding was too complicated? Streamlit changes all of that! In this beginner-friendly guide, you'll build your very first web application from scratch—no complicated setup required. By the end, you'll have a working, shareable app and the confidence to create even more exciting projects. Let’s jump in! What You'll Need / Dependencies: Python : Download and install Python from python.org (version 3.8 or higher recommended). pip (Python package installer) : Comes bundled with Python—no separate installation needed. Streamlit : Install with the following command in your terminal or command prompt: pip install streamlit That's it! You're ready to create your first Streamlit app. Step-by-Step Instructions: Step 1: Create Your Project Folder Create a new folder on your desktop called streamlit_app . Step 2: Create Your Python Script Inside the streamlit_app folder, create a file named app....

Write Your First Python Script to Call Claude API (Beginner-Friendly!)

Ready to Call Your First AI API? Ever heard about Claude—the friendly, helpful AI model created by Anthropic? Today, you'll learn how to write your very first Python script to interact with Claude's API. By the end, you'll have a simple script that sends your question to Claude and receives a clear, human-like response. No fancy skills required—let's dive right in! What You'll Need / Dependencies: You'll need a few things set up on your computer before we start: Python 3.x: Download from python.org. pip (Python package manager): Usually comes with Python by default. Anthropic Python library: Install easily using pip. Claude API Key: Sign up at Anthropic.com to get your key. Here's how to install the required library using pip: pip install anthropic After installing, save your Claude API key in a safe place—we'll use it shortly! Step-by-Step Instructions: Step 1: Import the Anthropic library Open your favorite code editor and start a new Python ...

Python Setup for AI Beginners: Your Complete Step-by-Step Guide

If you're excited about diving into the world of Artificial Intelligence but don't know where to start—don't worry! This guide will walk you step-by-step through setting up Python, the most popular programming language for AI development. By the end, you'll have everything ready to start coding your first AI application. No prior programming experience needed! What You'll Need / Dependencies: Python: The main programming language for AI projects. We'll install the latest version. pip: Python’s package manager that makes installing libraries super easy. Anaconda (Optional but Recommended): Provides Python and popular data science tools pre-installed. AI Libraries: NumPy, Pandas, Matplotlib, and Scikit-learn. Code Editor (Optional but Recommended): Visual Studio Code. Step-by-Step Instructions: 1. Installing Python Windows & Mac: Download the latest Python installer from python.org . Run the installer, making sure you check the box that sa...