8-Chems

Automate Blog Content Creation with n8n and Grok 3 API Introduction n8n is an open-source automation tool that connects apps to streamline tasks. This tutorial guides you through creating a workflow to automate blog post creation for Google Blogger using the Grok 3 API for content generation, Pexels for images, and Google Sheets for storage. The workflow ensures niche-relevant content and uses n8n’s free tier. Prerequisites n8n account (free at n8n.io ) Grok API key ( x.ai/api ) Pexels API key ( pexels.com/api ) Google account for Sheets and Blogger Google Sheet with columns: Title, Content, Meta Description, Image URL, Status Workflow Overview The workflow: Schedules automatic runs Sets niche keywords Generates a blog post topic Drafts a detailed post Fetches a relevant image Saves data to Google Sheets Handles e...

Building a Simple Counter App: From Classical HTML to React with Components This tutorial guides you through creating a basic counter app using the classical approach (HTML, CSS, JavaScript) and then rebuilding it with React , a powerful JavaScript library for user interfaces. We start with the classical method to understand traditional web development, then transition to React, introducing components and state management. A dedicated section teaches how to create and insert a separate CounterDisplay component, showcasing React’s modularity. The tutorial is designed for beginners and formatted for Google Blogger. What You’ll Learn How to build a counter app with HTML, CSS, and JavaScript. How elements are inserted into the DOM in the classical approach. Limitations of the classical approach. How to rebuild the app with React, using components and state. How React inserts elements and the role of public/index.html . How t...

Electric Vehicle Market Analysis Tutorial Introduction and Purpose This tutorial guides you through a Python-based analysis of electric vehicle (EV) market size using the Electric_Vehicle_Population_Data.csv dataset. The primary purpose is to: Analyze historical EV registration trends from 1997 to 2024. Forecast future EV registrations (2024–2028) using machine learning models. Evaluate model performance and identify key factors influencing EV adoption. Visualize market insights, such as top models, geographic distribution, and feature impacts. The script leverages data cleaning, feature engineering, and three machine learning models (Linear Regression, Random Forest, and Gradient Boosting) to achieve these goals. This tutorial explains each step, justifies the methodology, and provides detailed explanations of complex functi...

This tutorial guides you through creating a secure, modern authentication system using React for the frontend, FastAPI for the backend, and XAMPP (MySQL) for the database. We'll use Tailwind CSS for responsive styling and JWT for authentication. The content is formatted as an HTML file for your Google blog, with detailed explanations of every component, file, and code segment. All files ( package.json , requirements.txt , CSS, etc.) are included, and the code is modular, reusable, and beginner-friendly. Prerequisites Before starting, ensure you have: XAMPP installed with MySQL and Apache running. Node.js and npm (v16 or later) for React. Python 3.8+ with pip for FastAPI. Basic knowledge of React, Python, and MySQL. A code editor (e.g., VS Code). Postman or a browser for API testing. Project Structure Create a project folder named auth-app/ with the following structure: auth-app/ ├── backend/ │ ├── .env │ ...

Tutorial: Host a Python Backend and React Frontend for Free Tutorial: Host a Python Backend and React Frontend for Free Learn how to host a Python script (backend) and a React frontend for free using popular platforms with free tiers. This tutorial, updated as of April 2025, guides you through setting up a full-stack application with a REST API backend and a static React frontend, perfect for your Google Blog project. Overview In this tutorial, we'll: Host a Python backend using PythonAnywhere or Render . Host a React frontend using Vercel or Netlify . Integrate the two using API calls with CORS handling. Provide code snippets and step-by-step instructions. React Frontend : A static site (HTML, CSS, JS) after building. Python Backend : A server running a Python script (e.g., Flask or FastAPI). Prerequisites Basic knowledge of Python, JavaScript, and React. ...