Building Search Functionality With Python, Flask, and Elasticsearch

Опубликовано: 01 Январь 1970
на канале: PyCharm, a JetBrains IDE
18,183
282

Building a web application to solve a business problem is relatively easy, but how do you create a compelling experience that draws your users in and entices them to spend more time in your app? Making your search features great can do wonders for attaining that goal, regardless of whether your app is about eCommerce, food delivery, or social media.

This talk will be presented in four parts:
Introduction to web applications and how to build a search feature.
Adding search functionality and implementing synonyms, curations, and relevance.
Dockerizing and deploying in a cloud.
Collecting logs and traces to better understand the application's performance.

The end result will be a live website with "https" that participants can play with. All of the instructions and slides will be provided with links, along with a GitHub repository with the code.

Categories: #Python #Flask #Elasticsearch

Speaker: Aravind Putrevu
Speaker Bio: Aravind is passionate about evangelizing technology, meeting developers, and helping in solving their problems. He is a backend developer and has nine years of development experience. Currently, he works at Elastic as Developer Advocate and looks after the Developer Relation function of India, South East Asia.


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