In this video we'll go Step-by-Step and show you how to Build Your Own Search Engine with Python and FastAPI!
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#Python #FastAPI #seo
Ultimate Guide to Building Your Own Search Engine with Python, FastAPI, and Raspberry Pi
This comprehensive tutorial showcases the construction of a custom search engine using Python, FastAPI, and Raspberry Pi. The presenter, Kevin, demonstrates how FastAPI can be leveraged for high speed and ease of use in web development, showcasing its integration into KevzRobots.com to add user interactivity. The tutorial covers the use of Raspberry Pi, PostgreSQL, SQLite, and jQuery for creating dynamic content and a robust backend. Kevin walks through the entire process, from building 'Robot Facts' API to deploying search functionalities in a Docker container, using tools like Cloudflare, DB Browser for SQLite, and Postman for enhanced routing, database management, and API testing, respectively. Additionally, the tutorial explores building a search engine for statically generated pages, implementing features like query handling, navigation, pagination, and search logs analytics. The session concludes with a call to community engagement, merchandise promotion, and further content exploration.
00:00 Welcome to the Robot Makers Show!
00:02 Building Your Own Search Engine with FastAPI
00:31 Why Choose FastAPI for Your Projects
02:06 Enhancing KevzRobots.com with FastAPI
03:34 Deep Dive into FastAPI: Building Robot Facts API
07:26 Creating and Managing a SQLite Database
08:21 Setting Up Your Development Environment
12:29 Exploring Docker Containers for Deployment
15:22 Loading Data into SQLite: A Practical Guide
30:06 Integrating APIs with Your Website Using jQuery
31:58 Showcasing the Random Facts Feature
38:33 Building a Search Facility: A More Complex API
39:22 Exploring Search Engine Mechanics
40:03 Scanning and Extracting Webpage Data
40:47 Database Integration and API Development
44:18 Implementing Full Text Search with SQLite
44:44 Demonstrating the Search Functionality
01:02:07 Deep Dive into Webpage Scraping
01:06:00 Testing and Analyzing Search Results
01:16:05 Final Thoughts and Community Engagement
