Programming is a weekly podcast that aims to make us better software engineers! With each episode, you'll learn about a computer science concept in a brief and accessible way.
Today in less than 20 minutes, we'll explore what maps are and how they work under the hood. We'll talk about the differences between treemaps, hash maps, and hash tables. We'll dig pretty in-depth...By the end of the episode, you'll understand how to implement hash tables using an array, hash function, and a linked list!
Today we'll look into static and dynamic systems. We'll discuss what does it mean for a programming language or a framework to be static or dynamic. In the second part of the podcast, we'll focus on some of the properties of static systems and how they can help in better compile-time optimizations, development experience, and more!
In this episode, we'll look at the very basics of type systems and their enforcement. We'll discuss strongly and weakly typed languages. After that, we'll dig into different enforcement strategies - runtime with dynamic typing and compile-time with static typing.
In this episode of the programming podcast, we'll discuss static analysis and code transformation. In particular, we'll look at the difference between compilers, linters, and formatters. By the end of the episode, you'll understand what tool you should use to improve your development experience and team processes.
In today's episode, you'll learn the four principles of object-oriented programming. We'll discuss abstraction, inheritance, encapsulation, and polymorphism. By the end of the show, you'll understand each one of them; you'll know how they relate to each other, and how to use them in practice.
Today we're going to discuss the binary heap data structure. In this episode, you'll learn where to use heaps in practice, how they can come handy to you during a coding interview, and how to implement them! Along the way, we'll cover heap sort, priority queues, load balancing, and more!
Instead of digging into algorithms and data structures, today, you'll learn about epidemic modeling. In 9 minutes in this episode, you'll get a mathematical intuition on the spread of COVID-19 and the essential variables we can control, which can help us fight the virus.
The chances are that the information from this episode will come in handy to you during a coding interview and likely in real life! In this episode, you'll learn the topological sort algorithm. Along the way, you'll understand what's a dependency graph and how topological sort operates on this data structure. We'll also discuss a few real-life examples where I had to implement topological sort myself!
Have you ever been frustrated during interviews thinking that your interviewer expects you to have memorized a bunch of sorting algorithms you'd never need in real life? In this episode of the podcast learn how to approach such situations. In performance critical systems you may have to implement an efficient sorting yourself. Learn how to beat the built-in algorithm in a few lines of code!
Today you'll learn how at runtime, you can enhance the behavior or existing objects using the decorator pattern. In this episode, we'll discuss the advantages of decorators over inheritance and look at two examples from real-life - implementing a network communication protocol and enriching user interface components.
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