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Use our Gallery Tracking Optimizer Challenge to validate your skills in Python and receive feedback on your test from one of our Tech Mentors. After that, you will be able to use your test result to apply for job offers without having to be retested. Sounds good, yeah?

GALLERY TRACKING OPTIMIZER: DJANGO CHALLENGE

Challenge sponsored by

intelygenz-logo
Create a product gallery API & follow best practices on Python.
Create an API that allows companies with an ecommerce to generate a customizable and optimizable product gallery.
About this challenge

Most of the e-commerces have a product gallery on their website, where they show their products to the customers trying to sell them but showing how other buyers are using/consuming it. These galleries, most of the time, are a good complement for their websites, as the conversion rate is better than fake plain product images.

Despite that, most of the companies that offer these services (creating a gallery from the e-commerce catalogue) has a very weak and poor technology behind. So, we want to create an amazing API where the companies can create a gallery for their website and optimize it based on user interest.

Expertise

Mid/Senior


Framework

Django


Profile

Backend


Language

Python


Difficulty

Intermediate


Average candidates score

75/100


Completion rate

94%


Users rating 

4/5

Mauro

ABOUT THE CREATOR

Mauro Gómez

Mauro Gómez is the CTO and Co-Founder of Rviewer. Software Engineer with more than 7 years of experience both as a developer and as a researcher in the field.

He has done research in prominent places such as the Barcelona Supercomputing Center, and worked in leading companies such as Adsmurai, as Team Lead and Big Data Developer, or Sabentis, evolving its SaaS platform.

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Start now this Python challenge

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