Posts

In this post, I will show you how you can calculate the day of the week for any date using Zeller’s formula. The formula was proposed by a Reverend Zeller.

In this post, I will explain how you can control multiple LED lights using a Raspberry Pi. The whole thing will hardly take 15–20 minutes if you have all the pieces of equipment.

Recently I was involved in developing a PPE response network built by The Luminosity Lab at Arizona State University. Its backend was built using Flask. This was my first time working on a Flask application and I was surprised that it is not trivial to elegantly serialize the database model classes to JSON.

Postman is a very popular tool used by a lot of developers to collaborate for API development. It is also a very powerful tool and can be used for end to end automated API testing.

The simplest way to programmatically SSH into an EC2 instance is to using the Paramiko package. In this post, I will show you how to use this package to SSH with multiple retries and then execute your commands on it.

Using caching can vastly improve the performance of your applications. There are different types of caching options available while developing Web applications but HTTP caching is one of the simplest ways to improve the performance of your application.

I have a few WordPress blogs, a couple of PHP based websites and a flask application. I recently decided to host all my websites in one place. Until recently I was using Amazon EC2 for some of these websites but it was proving to be quite costly so I decided to switch to Google Cloud.

In this post, I will show you how to read and write an NFC tag on an Android device. We would be using Android’s NFC capabilities to read and write a tag.

In this short post, I will introduce you to a few utility methods that might be useful while working with RecyclerView in Espresso Tests. Introduction In this post, I am assuming that you are already using a RecyclerView in your app.

Introduction Neural Networks are a specific set of machine learning algorithms that are inspired by biological neural networks and they have revolutionized machine learning. In simple terms, they are general function approximations, which can be applied to almost any machine learning problem about learning a complex mapping from the input to the output space.