Simulation with Python

R$ 217,66

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Descrição

Understand the theory and implementation of simulation. This book covers simulation topics from a scenario-driven approach using Python and rich visualizations and tabulations.

The book discusses simulation used in the natural and social sciences and with simulations taken from the top algorithms used in the industry today. The authors use an engaging approach that mixes mathematics and programming experiments with beginning-intermediate level Python code to create an immersive learning experience that is cohesive and integrated.

After reading this book, you will have an understanding of simulation used in natural sciences, engineering, and social sciences using Python.

What You'll Learn

Use Python and numerical computation to demonstrate the power of simulation
Choose a paradigm to run a simulation
Draw statistical insights from numerical experiments
Know how simulation is used to solve real-world problems

Who This Book Is For

Entry-level to mid-level Python developers from various backgrounds, including backend developers, academic research programmers, data scientists, and machine learning engineers. The book is also useful to high school students and college undergraduates and graduates with STEM backgrounds.

Sobre o Livro

Modelos de simulação numérica e paradigmas de execução são explicados com exemplos em Python, incluindo visualizações e tabelas que ilustram resultados de experimentos.

A obra combina matemática e experimentos de programação com código Python de nível iniciante-intermediário, mostrando como extrair insights estatísticos de experimentos numéricos.

Leitores com formação em STEM ou desenvolvedores podem aplicar as técnicas a problemas reais em ciências naturais, engenharia e ciências sociais; aprendem a escolher paradigmas de simulação e a usar computação numérica para demonstrar resultados.