python

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Common String Manipulation in Python

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

May 11, 2022·15 min read

Article

Lists vs Tuples in Python

Lists and tuples are two of the most commonly used data structures in Python, with dictionary 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

Apr 15, 2022·8 min read

Article

Guide to Sets in Python

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...

Nicholas Samuel

Apr 14, 2022·21 min read

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Guide to Dictionaries in Python

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...

Nicholas Samuel

Apr 13, 2022·18 min read

Article

Guide to Python's append() Function

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

Apr 12, 2022·9 min read

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Graphs in Python: Breadth-First Search (BFS) Algorithm

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

Mar 31, 2022·17 min read

Article

Graphs in Python: Depth-First Search (DFS) Algorithm

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...

Anđela Niketić

Mar 30, 2022·15 min read

Article

Graphs in Python: Representing Graphs in Code

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...

Dimitrije Stamenic

Mar 28, 2022·29 min read

Article

Graphs in Python: Minimum Spanning Trees - Prim's Algorithm

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...

Dimitrije Stamenic

Mar 15, 2022·25 min read