12/1/2022 0 Comments Mini anvil![]() ![]() That gives me an excuse to explore two simpleīut powerful concepts from Computer Science - tokenization and indexing, which I implement in the final post. Pages about building dashboards will use those words a lot. This will help with the ‘building aĭashboard in Python’ query, because pages that just happen to mention ‘building’ will do so once or twice, whereas Second, I’ll take account of the number of times each word appears on the page. Wanted to learn how it works, so now is probably a good time! I explore it and implement it in the next post. A great way to show off your Buck Knives pride Read More. Its made from solid pewter with a rustic finish. Google has an algorithm called PageRank that assesses how important each page is, and I’ve always The Buck Mini Anvil bead adds a nice customization to any Buck knife. I’m going to make two improvements in an attempt to address these problems. Than ‘dashboard’ in this particular situation. ![]() It can’t distinguish very well between the words that matter, and those that don’t.Īnvil’s full_text_match does remove words like ‘a’ and ‘in’, but it obviously won’t guess that ‘build’ is less important Has to look past the first few results to find what they’re looking for, but the main pages of interest are there somewhere. The basic search engine I’ve put together does manage to get some relevant results for one-word queries. Overwhelmed by the noise introduced by the words ‘build’ and ‘Python’. Is to return the pages that are specifically about plotting, rather than those that just use the word in passing.Ī few of the pages are tangentially related to dashboard building, but generally the signal appears to have been ‘Plots’ is a fairly generic word that you would expect to show up all over the place in technical writing. To avoid getting my IP address quite legitimately blocked by anti-DoS software, and to keep my test dataset to a manageable size.) ‘Plots’ (If you’re wondering why all the results are from the same site, bear in mind that I’ve restricted my crawler to I’ll only look at the first page of ten results. Each query is chosen to reflect a different type of search problem. Test queriesįor each stage in its development, I’m going to run three queries to see how the results improve as I improve my ranking Mini anvil how to#Later on we’ll talk about indexing and tokenization, which gets to the nuts and bolts of how to optimise a search.īut for now, I have a working search engine. # On the client: def button_search_click ( self, ** event_args ): """This method is called when the button is clicked""" self. ![]()
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