Speeding up data pipelines for deep learning using RayLearn how to leverage Ray, a python library for distributed computation, to parallelise training data pipeline.May 24, 2021May 24, 2021
Python GIL: a case study.Python is infamous for its GIL — the global interpreter lock. The GIL restricts the python interpreter to execute only one thread at a…May 16, 2021May 16, 2021
Published inAnalytics VidhyaCustom Keras Models and tf functions in Tensorflow 2.1In this post, I will explore different options of how tf.functions can be used to improve the training speed of a custom keras models.Apr 10, 20202Apr 10, 20202
The real story of Education in DelhiLooking beyond the new 20000 classrooms, swimming pools and shooting ranges…Feb 6, 2020Feb 6, 2020
Transactions using Flask-SQLAlchemySQLAlchemy is a popular ORM framework in python and the Flask-SQLAlchemy is an extension for the Flask framework that adds support for…Oct 12, 2019Oct 12, 2019
An interactive dashboard for Indian Parliament statistics using DashVisit https://lok-sabha-review.herokuapp.com and review the performance of your elected representative.Apr 20, 2019Apr 20, 2019
Understanding Event Driven SystemsLearn how event driven asynchronous non blocking i/o works with the help of simple python code snippets.Apr 16, 2019Apr 16, 2019
