David Landup

Marcus Sanatan

Naazneen Jatu

In this guide, we will create a REST API in Python with Django, using the Django REST Framework to create a shopping cart application.

Creating a REST API with Django REST Framework

Scott Robinson

Mila Lukic

Jovana Ninkovic

Graphs in Python: Dijkstra's Algorithm

Bilal Hamada

In this guide, we'll take a look at the np.arange() function, how it works, what arguments you can pass and compare it to np.linspace() as well as the built-in range() function.

Guide to NumPy's arange() Function

Hiram Kamau

In this guide, we'll jump into detail of how Stream collection into Lists works and how you can use pre-defined Collectors and define your own to convert a stream into a list in Java 8.

Guide to Java 8 Collectors: Definitive Guide to toList()

Mehreen Saeed

In this guide, we'll be taking a look at the theory and implementation behind Random Projections in Python - Gaussian and Sparse Random Projections, as well as a practical hands-on tutorial using a real-life dataset.

Random Projection: Theory and Implementation in Python with Scikit-Learn

Dijkstra's Algorithm vs A* Algorithm

In this guide, we'll cover Self-Organizing Maps in detail, as well as implement a SOM in Python with Numpy and experiment with the hyperparameters to get to know how they affect the model.

Self-Organizing Maps: Theory and Implementation in Python with NumPy

In this guide, we'll take a look at Multidimensional Scaling in Python with Scikit-Learn, with practical applications to the Olivetta Faces dataset.

Guide to Multidimensional Scaling in Python with Scikit-Learn

Vladimir Batoćanin

In this guide, we'll take a look at how to calculate the Spearman Rank Correlation manually and using Python via the Pandas library, as well as understand how the correlation works.