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This article will explore some examples and applications of Monte Carlo simulations using the Go programming language. To keep this article fun and interactive, after each Go code provided, you will find a link to the Go Playground, where you can run it without installing Go on your machine. Put your adventure helmets on! Table of Contents show | hide Requirements Quick Introduction First Examples Estimating $\pi$ Estimating Euler’s Number The Birthday Paradox The (In)Famous Monty Hall Problem Integration Using Monte Carlo Simulations Option Pricing Using the Black-Scholes Model The Model Option Pricing The Simulation Graphical Analysis Conclusion Recommended Reading Requirements As stated previously, there is no need to install anything on your computer, you can use the Go Playground.

Basic image processing tools may serve you in many situations as a developer, and there are several libraries to help you with image processing tasks (this statement is particularly true if you are a Pythonist). However, knowing how to implement basic procedures is not only a good programming exercise but will give you the ability to tweak things to your liking. In this article, we will see how to implement basic image processing tools from scratch using Python.