A pythonic full-text search

Oct 19 2:50 PM PDT :calendar: to 3:15 pm

About This Talk

A full-text search on a website is the best way to make its contents easily accessible to users because it returns better results and is in fact used in online search engines or social networks.

The implementation of full-text search can be complex and many adopt the strategy of using dedicated search engines in addition to the database, but in most cases this strategy turns out to be a big problem of architecture and performance.

In this talk we’ll see a pythonic way to implement full-text search on a website using only Django and PostgreSQL, taking advantage of all the innovations introduced in latest years, and we’ll analyze the problems of using additional search engines with examples deriving from my experience (e.g. djangopoject.com or readthedocs.org).

Through this talk you can learn how to add a full-text search on your website, if it’s based on Django and PostgreSQL, or you can learn how to update the search function of your website if you use other search engines.


    Photo of Paolo Melchiorre

    Paolo Melchiorre (he/him)

    I’m Paolo Melchiorre, a longtime Python backend developer who contributes to the Django project and gives talks at tech conferences.

    I’ve been a GNU/Linux user for over 20 years and I use and promote Free Software.

    I graduated in Software Engineering and I’m an alumnus of the University of Bologna, Italy.

    I’ve been working in the web for 15 years and now I’m the CTO of 20tab, a pythonic software company, for which I work remotely.