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Programming

Podcast Programming
Minko Gechev
Programming is a podcast that aims to make us better software engineers! With each episode, you'll learn about a computer science concept in a brief and accessi...

Beschikbare afleveringen

5 van 23
  • Episode 23 - Building a minimal reactive framework
    This episode explores building a minimal reactive framework using signals as a reactivity primitive. We'll look into implementing a simple component model, composing components, separating the view into static and dynamic parts, and implementing fine-grained reactivity.
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    17:54
  • Episode 22 - Signals
    In this episode, we'll explore a concept called Signal that has been getting a lot of traction in JavaScript over the past few years. I'll describe a simple implementation so you can understand the internals and then see how it relates to the traditional object-oriented design pattern observer.
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    11:19
  • Episode 21 - Maps, Hash Maps, Tree Maps, and Hash Tables
    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!
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    16:30
  • Episode 20 - Static and Dynamic Systems
    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!
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    13:29
  • Episode 19 - Type Systems and Type Checking
    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.
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    6:00

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Programming is a 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.
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