WebAssembly Modules

A WebAssembly Module is the foundational unit of WebAssembly, acting as a self-contained and reusable block of code that can be executed in a web environment. What is a WebAssembly Module? A WebAssembly Module is a binary or text file that contains WebAssembly bytecode, representing a compiled version of a program. This module can be … Read more

WebAssembly Text Format

What is WebAssembly Text Format (WAT)? The WebAssembly uses a specific syntax called WebAssembly Text (WAT) that allows developers to write Wasm modules directly in a readable format. This text format is designed to be similar to assembly language, where each line represents an instruction. Once written in WAT, code can be compiled into the … Read more

WebAssembly Binary Format

What is WebAssembly Binary Format? WebAssembly Binary Format (.wasm) is a highly optimized, stack-based format that enables code written in languages like C, C++ or Rust to run in web browsers at near-native speed. Key Advantages of WebAssembly Binary Format How is WebAssembly Code Compiled to Binary Format? The process of generating a WebAssembly binary … Read more

WebAssembly Syntax

WebAssembly (Wasm) syntax provides a structured and efficient way to write low-level code that executes at high speed within web browsers. What is WebAssembly Syntax? Each instruction in WebAssembly is represented by a specific opcode (operation code), which is optimized to perform operations like arithmetic, logic and memory manipulation directly on this stack. WebAssembly syntax … Read more

WebAssembly Introduction

What is WebAssembly? WebAssembly is a low-level binary instruction format designed for a stack-based virtual machine. It provides a way for code written in various programming languages to run in the browser with high efficiency. Instead of interpreting source code line-by-line like JavaScript, WebAssembly uses a compact binary format, which browsers can decode and execute … Read more

Data Science – Statistics Correlation vs. Causality

In the field of data science and statistics, correlation and causality are two key concepts that describe the relationship between variables. 1. What is Correlation? Correlation refers to the statistical relationship between two variables. Specifically, it measures the degree to which two variables move together. If the variables change in a similar pattern, they are … Read more

Data Science – Statistics Correlation

Correlation is a statistical measure that describes the strength and direction of a relationship between two variables. 1. What is Correlation? Correlation quantifies how much two variables change in relation to each other. For instance, in studying the relationship between temperature and ice cream sales, correlation can reveal whether higher temperatures are generally associated with … Read more

Data Science – Statistics Standard Deviation

Standard deviation is a key concept in statistics and data science, used to measure the amount of variation or dispersion within a dataset. It provides insight into how spread out the data points are around the mean (average) and is a fundamental measure for understanding data distribution, detecting outliers and assessing risk in fields like … Read more