How to get the Greatest Common Denominator and Least Common Multipliers using Python — For a lot of us, finding the greatest common denominator between numbers was a common exercise in grade school math. However, in the real world finding GCDs can form an integral part of our algorithms and analysis. …

How to Identify and Index Duplicates in a List — Duplicate detecting and indexing is a fundamental skill every data scientist should have. When dealing with any dataset, it is important to identify and locate values that are identical. In this article, we shall take a look at several techniques you can use. Let’s get started! So let’s say you…

Using Python to Decipher Encoded Messages — One of the challenges of being a data scientist is solving unique problems that leave most people scratching their heads. These range from seemingly innocuous textbook exercises to complex riddles left unsolved for years. In this article we shall go over some light to intermediate problems that will help you…

Interesting ways to use List Comprehension — List comprehension is a powerful tool that allows Python programmers to write codes in an extremely condensed fashion. In this article we will go over how to use list comprehension to simplify otherwise complex functions. Let’s begin! To start off, let’s create a sample string. sample_string = 'sample_for_list_comprehension' Now let…

How to apply the Lambda function in Python — One of the most interesting aspects of the Python language are Lambda functions. For programmers who are skilled at reducing their codes into simple logical statements, Lambda functions help shrink the number of lines dramatically. In this article we shall go over what Lambda functions are and how to apply…

How to construct a DataFrame from a List — Python is an excellent language for new programmers to learn. Its intuitive nature makes it easy for most people to quickly understand what the codes and algorithms are actually doing. In this article and many others in the future, we will be going over the many ways one can use…

Crafting a narrative for the Titanic Dataset — One of the most important skills a data scientist can learn is how to craft a convincing story using the given data. Though we tend to think of our work as being objective and technical, encapsulated in the adage “Numbers don’t lie”, we should also be aware of its more…

How to derive more features from an image to improve clustering results — In a previous article, we explored the idea of applying the K-Means algorithm to automatically segment our image. However, we only focused in on the RGB Color Space. Of course the RGB color space is the native format for most images, however in this article we shall go beyond it…

How to use the K-Means algorithm to automatically segment an image — So far most of the techniques we’ve gone over have required us to manually segment the image via its features. But we can actually use unsupervised clustering algorithms to do this for us. In this article we shall go over how to do just that. Let’s begin! As always, we…