As a programmer, you will often need to process data that is been continuously produced by one or more sources. For example, you might need to process logs generated by a running system. Data here is not static, logs are...
Read moreSometimes you are too lazy to connect the debugger. Some using redux dev tools to monitor the state seems like a daunting task. And these are the scenarios where hacks come into the picture. Here are some daily react hacks...
Read moreRecently, while developing an application for my startup in React Native, I encountered a strange issue. My firebase query was giving a sorted result, which I was storing in an Object. But while retrieving the data from that object, the...
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Arrays are one of the most used, and one of the most important data structures. All kinds of programming languages provide different ways to work with arrays. I have often seen students and early adopters of Javascript writing long functions, Read more…
Design Patterns are an important ingredient of clean, clear, and scalable code. In this series, we have been exploring the various Design Patterns and how to use them with Golang. In this article, we are going to discuss Proxy Design Read more…
It is a moral responsibility of code to crash, of bugs to appear, functionality to break and developers to fix them. But to fix them, developers should know when a certain bug appears, and the context of the bug. To Read more…
GraphQL has been a new entry into the world of APIs after the REST API era. It was released by Facebook in 2015 and hence since slowly being adopted into the mainstream of API development. In this post, I shall Read more…
I left my job in Jan 2021 to join a startup, I got this common question from friends and colleagues that Why I left an established company to join a startup. This article is an attempt to answer those questions. Read more…
There’s not a better way to learn a new skill than to get your hands with some code. In the last post, we learnt how to add a dark theme to our React Native apps. In this multi-part series, we Read more…
In Machine Learning and Data Science, we often find ourselves stuck with the limited computing resources that are required for a vast dataset. Especially training a deep learning model can sometimes take hours or even days. However, this process can Read more…