Expert Contributors Articles

Chase Maity

Updated on June 18, 2025

C lacks native support for interfaces, but it can be introduced by using a type class pattern inspired by Rust and Haskell. Here’s how.

Chris Dowsett

Updated on June 18, 2025

Selection effect is a bias that occurs when a sample or method favors a specific subset of a population, leading to results that don’t accurately represent the whole. If unchecked, selection effect can lead to false positives and bad investments.

Artem Oppermann

Updated on June 18, 2025

The V-model is a software development process that describes the relationship between each phase of the development life cycle and its corresponding testing phase. Here's what to know about the methodology.

Gul Ershad

Updated on June 18, 2025

The sliding window algorithm is a technique used to optimize problems involving contiguous sequences in arrays, lists or strings. Learn more with examples.

Adam Thomas

Updated on June 18, 2025

Binary is a numerical system that uses the digits 0 and 1 to represent data in a computer. It is a fundamental concept in computer science, programming and data storage. Here are the binary basics.

Abdishakur Hassan

Updated on June 18, 2025

Cluster analysis is a data analysis technique that groups together data points that are similar to each other within a data set. Here’s how it’s useful, its applications, types, algorithms, tips for assessing clustering and an example of cluster analysis.

Eric Kleppen

Updated on June 18, 2025

Variance is a measurement of how far values in a data set differ from the mean. Here’s how to calculate variance by hand or in Python.

Anthony Corbo

Updated on June 18, 2025

Tableau is a business intelligence and data visualization tool used to simplify raw data, provide data insights and make it easily accessible at all levels of a company.

Emmett Boudreau

Updated on June 18, 2025

FizzBuzz is a challenge that involves writing code that labels numbers divisible by three as “Fizz,” five as “Buzz” and numbers divisible by both as “FizzBuzz.” Here’s how to solve it in Python.

Adam Thomas

Updated on June 18, 2025

Normalization organizes data into separate tables to reduce redundancy and prevent anomalies, improving data integrity. Denormalization combines tables and adds redundancy to speed up queries and simplify data access, often at the cost of consistency.