Python Programming for Mechanical Engineers
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This book offers a comprehensive guide to applying Python programming in the field of mechanical engineering. It is designed to provide readers with both foundational knowledge in Python and practical skills for solving real-world engineering problems. The content begins by introducing the essentials of Python, from basic syntax and functions to loops and modules, enabling readers to build a solid programming foundation. Along with configuring the development environment, readers will explore various key concepts necessary for writing efficient Python code.
The book then delves into practical applications that directly relate to mechanical engineering. It features projects and simulations, such as analyzing cyclist air resistance, simulating the kinematics of a robotic arm, studying Otto cycle efficiency, exploring damped pendulum motion, and analyzing and visualizing engine data. Through these hands-on exercises, readers will learn how to apply Python in different engineering contexts, developing skills in numerical computation, data analysis, and simulation.
Tailored specifically for mechanical engineers, the book addresses the unique challenges faced in this field. It emphasizes practical learning, encouraging readers to engage with real-world problems, analyze data, and utilize Python to enhance their engineering capabilities. Whether you are a student or a professional, this guide provides valuable insights and methods to effectively use Python in mechanical engineering applications.
Détails
- Date de publication
- Oct 2, 2024
- Langue
- English
- ISBN
- 9798990783645
- Catégorie
- Ingénierie
- Copyright
- Tous droits réservés - Licence de copyright standard
- Contributeurs
- Par (auteur): Abdellatif Sadeq
Caractéristiques
- Format
- EPUB
Mots-clés
Python programmingMechanical engineeringData analysisEngineering simulationsRobotics kinematicsOtto cycle simulationDamped pendulum motionNumerical computationAir resistance analysisEngine data visualizationPython for engineersComputational mechanicsAutomation in engineeringMechanical systems modelingPython code examplesEngineering problem-solvingTechnical computingPython in simulationsApplied programmingEngineering software