Byte
URLs are, no doubt, an important part of the internet, as it allows us to access resources and navigate websites. If the internet was one giant graph (which it is), URLs would be the edges. We parse URLs when we need to break down a URL into its components, such...
Scott Robinson
Article
Whether you're working with financial data, scientific calculations, or any other type of data that requires precise decimal arithmetic, knowing how to round decimal numbers accurately can make all the difference. In Python, there are various methods for rounding digits, each with its unique pros and cons. In this article,...
Dimitrije Stamenic
Being able to retrieve data from remote servers is a fundamental requirement for most projects in web development. JSON is probably one of the most popular formats for data exchange due to its lightweight and easy to understand structure that is fairly easy to parse. Python, being a versatile language,...
You are working in a consulting company as a data scientis. The project you were currently assigned to has data from students who have recently finished courses about finances. The financial company that conducts the courses wants to understand if there are common factors that influence students to purchase the...
Cássia Sampaio
In this article, we'll be taking a look at a common Python 3 error: TypeError: '<' not supported between instances of 'str' and 'int'. This error occurs when an attempt is made to compare a string and an integer using the less than (<) operator. We will discuss...
What do you do when you have two or more tuples and you need to compare them? This may seem like a pretty straightforward thing to do, but when you scratch the surface, you'll find out that there's much more to it than you initially realize. Comparing tuples in Python...
As a Python programmer, you might already be familiar with lists, dictionaries, and sets - but don't overlook tuples! They are often overshadowed by more popular data types, but tuples can be incredibly useful in many situations. In this guide, we'll take a deep dive into Python tuples and explore...
You are part of a project that will use deep learning to try to identify what is in images - such as cars, ducks, mountains, sky, trees, etc. In this project, two things are important - the first one, is that the deep learning model trains quickly, with efficiency (because...
Neural Radiance Fields, colloquially known as NeRFs have struck the world by storm in 2020, released alongside the paper "NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis", and are still the cornerstone of high quality synthesis of novel views, given sparse images and camera positions. Since...
David Landup
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