article #1 on Creating visualizations that tell a story with impact — We see visualizations everywhere. In social media, newspapers, magazines, fitness trackers, etc. These visualizations always try to convey some message using the data it has collected. …

A quick introduction to using generics and understanding erasure in Kotlin — Generics are a great deal when it comes to writing reusable code — classes, interfaces, and functions all can use generics. Good design emphasizes writing reusable code and the abstraction of concepts, among others. By using generics we can easily achieve reusability and abstraction. Kotlin is based on the JVM…

The way you should actually learn Object-Oriented Programming — Object-Oriented Programming (OOP) has been the buzzword in the application development world for more than 20–30 years now. Everyone has always wondered why OOP is so great until they understand the real power it has. Application development has become so much easier with OOP and someone who has a good…

Problem-solving techniques every developer must know of — Developers are problem solvers by nature. Whatever the problem be, we’re ready to try our best to solve it. But not necessarily all the developers use the same tool, the same language to solve it. It depends on the kind of problem, most of the time. There is always more…

Kafka easier than ever. Exploring Kafka as a service. — Event-driven systems are everywhere. They have been increasing at a tremendous rate in the past few years. This is because of the increased digitization of everything, and lots and lots of data pouring into the systems every day. Users today, only like systems that solve their problems quick and fast…

Reasons to learn Kotlin when Java already solves everything — Kotlin is a language that got introduced very recently in the year 2011 by the JetBrains team (ones behind the IntelliJ IDEA and other popular IDEs). It was named after the Russian island, where the dev team is from. Kotlin is being used in popular applications like Pinterest, Slack, Trello…

A glimpse of the significant journey of transfer learning leading to effective deep learning — Training models is not easy. Right from the stage of collecting data, preprocessing, analysing it, creating models, training, testing, and deploying them, it in its entirety is a tedious process. And especially the stages of collecting data and training the models are complicated and time-consuming. The idea behind

In today’s world of software and the internet, it is never wrong to say that almost all applications are dependent on data — user data, data regarding views of a page and clicks on an ad, etc. Managing all this data has evolved through the years. …

Understanding the raging Transformers network architecture — Deep learning has kept evolving throughout the years. And that is an important reason for its reputation. Deep learning practices highly emphasize the use of large buckets of parameters to extract useful information about the dataset we’re dealing with. By having a large set of parameters, it becomes easier to…