Python is extremely popular in the programming world for two reasons: it can handle a humongous range of tasks and second, the language is extremely...
Introduction to MATLAB MATLAB, short for Matrix Laboratory, is a high-level programming and numeric computing platform developed by MathWorks. It is widely used in academia,...
R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly...
Introduction Scala, short for “Scalable Language,” is a high-level programming language that combines object-oriented and functional programming paradigms. It was designed to address the limitations...
Introduction Julia is a high-level, high-performance programming language designed for technical and numerical computing. It is open-source and combines the speed of low-level languages like...
Introduction PyTorch is an open-source deep learning framework developed by Facebook’s AI Research lab (FAIR). Known for its dynamic computation graph and ease of use,...
Know Your Data helps researchers, engineers, product teams, and decision makers understand datasets with the goal of improving data quality, and helping mitigate fairness and...
Introduction SciPy is an open-source Python library used for scientific and technical computing. Built on top of NumPy, it provides a wide array of tools...
POWERFUL N-DIMENSIONAL ARRAYS Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NUMERICAL COMPUTING TOOLS NumPy...
Introduction D3.js (Data-Driven Documents) is a powerful JavaScript library for creating dynamic, interactive data visualizations in web browsers. It enables developers to bind data to...