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Python is a high-level, dynamically-typed, multi-paradigm programming language - and it notably comes with a plethora of built-in tools for various tasks, lowering the amount of effort required to quickly prototype and test ideas out. Strings are one of the most commonly used data structures in computer science, and naturally,...
Shittu Olumide
Lists and tuples are two of the most commonly used data structures in Python, with dictionaries being the third. Lists and tuples have many similarities: They are both sequence data types that store a collection of items They can store items of any data type And any item is accessible...
Nicholas Samuel
In Python, a set is a data structure that stores unordered items. The set items are also unindexed. Like a list, a set allows the addition and removal of elements. However, there are a few unique characteristics that define a set and separate it from other data structures: A set...
Python comes with a variety of built-in data structures, capable of storing different types of data. A Python dictionary is one such data structure that can store data in the form of key-value pairs - conceptually similar to a map. The values in a Python dictionary can be accessed using...
Basic data types in Python allow us to store a single value under a symbolic name. This roughly follows the mathematical notation of variables. In a way, a name is assigned to a value, so you don't need to remember the actual value, nor its address in computer memory, just...
Dimitrije Stamenic
Graphs are one of the most useful data structures. They can be used to model practically everything - object relations and networks being the most common ones. An image can be represented as a grid-like graph of pixels, and sentences can be represented as graphs of words. Graphs are used...
Anđela Niketić
Originating from mathematics, graphs are now widely used data structures in Computer Science. One of the first problems we encounter when constructing any algorithm regarding Graph processing or traversal is how we represent the graph and then, how to traverse that representation. Graph traversal is not a trivial problem, and...
Graphs in Python can be represented in several different ways. The most notable ones are adjacency matrices, adjacency lists, and lists of edges. In this guide, we'll cover all of them. When implementing graphs, you can switch between these types of representations at your leisure. First of all, we'll quickly...
A graph is a great tool for modeling relationships between objects. Graphs can model complex relationships between any number of objects in a system, which makes them ideal for representing interactions between concepts/items in areas like physics, economics, chemistry. Thanks to constantly increasing computational power, you can manipulate graphs...
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