From basic data structures to Abstract Data Types — As a Data Scientist, a key part of the job is to be able to understand the best way to organise and structure data so that it can be efficiently stored or accessed depending on the task. This could be for the purpose of inputting the data into a model…

Key commands, functionality, and usage — Git is a tool that all Data Scientists and Software Engineers should know how to use. Whether you work on a project alone or as part of a large distributed team, understanding how to effectively use Git can save you a lot of time with your projects. The benefit of…

The basics of OOP for those who may not have come across the idea before or are wanting to know more — First of all, what is Object-Oriented Programming? This is what is known as a Programming paradigm, which essentially means that it is a specific way of doing something or structuring your code. What OOP means is that you structure your code around objects which is good for building frameworks and…

Applying a decision tree classifier to the iris dataset — There are plenty of articles out there that explain what a decision tree is and what it does: Decision Tree Classification A Decision Tree is a simple representation for classifying examples. It is a Supervised Machine Learning where the data…medium.com The Basics: Decision Tree Classifiers An intuition for how decision trees work and are builttowardsdatascience.com

A short technical guide on how and when to use them — Python has become a go-to language for developers and data scientists across the globe. Nevertheless, one of its most powerful features, context managers, often remains underutilized or misunderstood. In this short technical guide, we will dive into understanding context managers in Python, their working principles and practical applications. …

The fundamentals of function parameters and arguments in Python — Python has become the go-to language in Data Science for its versatility, simplicity, and powerful libraries. Functions, with their ability to encapsulate reusable code, play a key role in streamlining and enhancing the data science workflow in Python. …

What are they used for, creating a local tag, how they are seen and how to delete them — In Git, a tag is a way to mark a specific point in the history of a repository. It is typically used to label important milestones or releases, such as a version, release or a major project update. They usually serve three key purposes: Release versions: Tags are commonly used…

How to run automatic testing on the push command — Testing your application is a crucial step in any software development or data science workflow. Testing allows you to ensure that the code functions as expected, reduces the likelihood of bugs or errors, and increases the overall quality and reliability of the software. In some cases though testing can often…

Can Newton’s idea of gravity be used to estimate grocery store revenue? With many different brands, formats and channels to engage with, deciding where, when and how to do your grocery shop can be a complex decision. Some of us will do a regular weekly shop at a large superstore…