Introduction 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 same courses or to purchase different courses. By understanding those factors, the company can create a student profile, classify each student by profile and recommend a list of courses. When inspecting data from different student groups, you've come across three dispositio ..read more

Introduction 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 the reasons behind this error and provide solutions for fixing it. Additionally, we will also cover how to resolve this error when dealing with lists, floats, and tuples. Why You Get This Error In most languages, you probably know that the less than (<) operator is used for comparison between two values. However, i ..read more

Introduction Welcome, fellow data wranglers and SQL enthusiasts! If you've ever tried to query a MySQL database, you've probably heard of the WHERE clause. But what exactly is it, and why is it important? Well, think of the WHERE clause as your trusty lasso in the wild west of data. It's the part of your SQL query that lets you round up only the data you want, while leaving the rest to roam free. And let's face it, with tables that can hold thousands, or even millions of rows, you don't want to be sorting through all of that manually. In this guide, we'll take a deep dive into the WHERE claus ..read more

Introduction Welcome to the wild world of MySQL queries, where data meets the power of SQL! As you dive deeper into crafting complex queries to extract insights from your data, you'll likely come across the HAVING clause. If you're not familiar with HAVING, fear not! It's a powerful tool that lets you filter the results of an SQL query based on conditions that are applied after the data has been grouped by a column. In other words, it allows you to aggregate data in a specific way and filter the results based on that aggregation. In this guide, we'll take a deep dive into the HAVING clause in ..read more

Introduction 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 can be used in a variety of applications, such as sorting and filtering data, comparing lists, and even testing software. However, not all tuple comparison methods are created equal, and choosing the wrong method can lead to unexpected results or inefficient code. In this article, we'll take a look at a couple of wa ..read more

Introduction Welcome to the world of Python tuples, where parentheses are the key to unlocking the power of data organization and manipulation! 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 everything you need to know to use tuples in Python. We'll cover the basics of creating and accessing tuples, as well as more advanced topics like tuple ope ..read more

Introduction 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 the model will be deployed to a device that doesn't have much computational power): Your team has decided to use EfficientNets, specifically, the V2 family, as they're robust, train fast, and have strong accuracy. And the second one is that the model needs to be accessible through a link, so predictions can be ..read more

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 then, they've found numerous applications, but probably most prominently in geospatial volumetric modeling, with companies like Google relying on NeRFs to create 3D structures of buildings and heritage sites from various angles of sattelite imagery, and companies specializing in perfo ..read more

Introduction MySQL is a popular open-source database management system that is widely used in web applications. One of the fundamental tasks in working with MySQL is querying data from tables. The ORDER BY clause is a key feature of MySQL queries that enables you to sort the result set based on one or more columns. By default, MySQL sorts the result set in ascending order based on the specified column(s), but you can also sort the data in descending order or use functions to sort the data. In this guide, we'll take a closer look at the ORDER BY clause in MySQL and how it works. We'll start by ..read more

Introduction In the world of programming, data is often stored and transmitted in various formats to other parts of an application or other web services. To fascillitate data transfer between services written in different languages and frameworks (such as a Java backend communicating with a Python service, and sending the results to a JavaScript frontend), common formats have been tried, tested and adopted. One of the most commonly used data exchange formats is JSON (JavaScript Object Notation) It's human-readable, intuitive, efficient and fast, and quickly took over as the de facto s tandar ..read more