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| Name | Build A Custom Search Engine In Python With Filtering |
| Video Uploader | Video From Dataquest |
| Upload Date | This Video Uploaded At 15-08-2022 16:30:04 |
| Video Discription | In this project, we'll build a custom search engine that uses filtering to rank results. The engine will get results from the Google Custom Search API, store them, then rank them based on filters we define. We'll filter based on the number of trackers on the page, and the length of the content. The framework will be extensible, so you can add your own filters, including ones that use machine learning. We'll also use Flask to render a basic search page and results list so you can use the engine. You can see the full code and a README for this project here - https://github.com/dataquestio/project-walkthroughs/tree/master/search . This includes links to any files you'll need to download or things you need to setup. Chapters 00:00 Introduction 02:38 Getting a Custom Search Engine API key 05:46 Initializing our project with PyCharm 09:57 Storing our results with sqlite3 17:36 Querying the search API 30:16 Creating a flask web application 41:48 Filtering results by page content 48:20 Filtering by trackers and ads 55:30 Adding in relevance scores 1:03:21 Next steps with this project --------------------------------- Join 1M+ Dataquest learners today! Master data skills and change your life. Sign up for free: https://bit.ly/3O8MDef WYPFotzHZ4A |
| Category | Education |
| Tags | how to build a search engine | how to build a search engine like google | how to build a search engine from scratch | how to build a search engine for your website | how to build a search engine in python | how to build a search engine from scratch in python — part 1 | how to build a search engine from scratch in python — part 2 | search engine architecture | pycharm | Custom Search Engine API key |
