Lectures

In this article you will learn why programming is accessible to everyone, what advantages the programmer profession offers, how the innovative learning approach at JavaRush differs, and why practice matters more than theory. This material will inspire you to believe in yourself and start your path in IT!

In this lecture we will break down how constants work in Go via the const keyword: why constants must be known at compile time, how untyped and typed constants differ, how the default type is chosen ( int, float64, string, bool), what “representability” (range checking) is, and how to use constants as “rules” in a small CLI.

In this lecture, we will break down why Go needs “semantic” numeric types on top of int, how the type declaration works (for example, type Status int), why Status and int are incompatible types, how to do explicit conversions Status( code) and int( s), how to define named values with const, and why “magic numbers” like 2 hurt readability because of untyped constants.

In this lecture, we break down how iota works in Go: how it counts inside const blocks, how to build an “enum” on top of it using type and switch, and how to neatly declare bit flags with the pattern 1 << iota and check a mask via flags & FlagX != 0. At the end: common mistakes and practical takeaways.

In this lecture, we cover bitwise operators in Go: how to think of integers as sets of bits, what flags and masks are, how to create masks via 1 << n, set flags via |, check via &, clear via &^, and also how to debug masks by printing %b and %08b. At the end, there is a cheat sheet and common mistakes.

In this practice, we’ll reinforce two important patterns in Go: “enum via type + const + iota” and “flags via bit masks 1 << iota”. We’ll break down how to produce human-readable output (converting code to text), how to write helper functions to check flags using &, and which mistakes are most common when people confuse enums and flags.

In this lecture, you will learn how modern IT products are really built: why development is constant change, how the release process works, why only code running in production creates value, and what stages your code goes through from writing it to delivering benefit to users. All with examples, analogies, and real stories from the industry.