Lectures

In this motivational article, you will learn why the path to success is unique for everyone, how to choose your own strategy without sacrificing important things, and why it is important not only to work a lot, but to work smart. The material will help you look at competition, hard work, and cultural attitudes from a new perspective.

In this lecture, we break down why arrays are needed in Kotlin and how the generic array Array<T> differs from primitive arrays like IntArray. We will learn to create arrays using arrayOf/ intArrayOf and using the constructor IntArray( size), talk about default values, assemble a mini-skeleton of a workout tracker, and reinforce the material with typical beginner mistakes.

In this lecture, we go over how to work safely with arrays in Kotlin: reading and writing via the [] operator, why indexing starts at 0, where the boundary is with size, how to use indices for correct ranges, and also how to perform bulk operations with fill() and create independent copies with copyOf(). At the end — common mistakes and ways to avoid them.

In this lecture, we cover the key Kotlin patterns for traversing an array: iterating by elements and by indexes ( indices), computing the sum and average, counting elements that match a condition, searching for a value with an index returned ( - 1 meaning “not found”), and finding the maximum (both the value alone and the value together with its index). At the end, we review common mistakes (integer division, incorrect accumulator initialization, wrong index bounds, and loss of readability).

In this lecture, we explore two-dimensional arrays in Kotlin through the Array < IntArray > model: how to think in terms of a table [row][col], how to create rectangular structures, how to safely get sizes via size and indices, how to iterate with nested loops (with and without indices), how to do basic operations (sums over the whole table, by rows, and by columns), how to modify elements by coordinates, and how to avoid common mistakes with swapped indices and out-of-bounds access.

In this lecture, we cover jagged arrays in Kotlin using Array<IntArray> as an example: how to store rows of different lengths, build the structure via arrayOf/ intArrayOf, safely access table [ row ][ col ] with a double bounds check using indices, iterate over rows with nested loops, and solve practical tasks (printing, sum, max, updating by coordinates). At the end, there is a set of typical mistakes and how to avoid them.

We break down developers’ career levels, the evolution of approaches to building software products, and why a modern engineer more often integrates ready-made components and cloud services than writes everything from scratch.