DataHour: Caching in Data Science

Online 17-03-2023 07:00 PM to 17-03-2023 08:00 PM
  • 4805


  • Knowledge and Learning.


About the DataHour:

Caching is an essential concept in computer science that involves storing frequently used data in a temporary location to reduce the load on the primary storage device. Caching can significantly improve application performance and reduce latency.

However, understanding when to use caching and which type of caching to use can be a challenging task. In this DataHour, we will discuss the basics of caching, the different types of caching, and when to use what, with a demonstration of caching on Python Flask Application.

The zeal for learning new technologies, and good to have a basic knowledge of python.

Who is this DataHour for?

  • Students & Freshers who want to build a career in the Data-tech domain.
  • Working professionals who want to transition to the Data-tech domain.
  • Data science professionals who want to accelerate their career growth

E-certificates will be provided within 24 - 48 hours of the session only to those who have attended the entire webinar. Please make sure to join the zoom webinar with your correct name and email address to ensure that your certificate is properly credited to you.


Utkarsh Shukla

Product Owner at NerdyBio

The world of technology is constantly evolving, and Utkarsh Shukla is at the forefront of it all. As a Product Owner at NerdyBio and Full Stack Developer at StatusNeo, Utkarsh's passion for innovation is evident in everything he does. With over 100 thought-provoking blogs published on cutting-edge technologies, his expertise in system and database designing is second to none.

Utkarsh brings a wealth of experience in Python with a strong grip on frameworks such as Flask and Django, as well as databases including MongoDB, RDS, and Redshift. He has also made significant contributions to the development of a low code no code platform for IIoT applications using Java and SpringBoot.

Connect with him on Linkedin | Website


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