Engineers of all disciplines can benefit from knowledge of Python. This powerful programming language can help engineers better leverage their skill set and do more sophisticated work in a shorter time, including engineering analysis, machine learning, system design, integration and testing, and project management. What Every Engineer Should Know About Python provides engineering students and practitioners with a simple and practical introduction to Python for technical programming and other empowering uses for engineering and scientific work. It teaches the core features of Python relevant for engineers without computer science jargon, with the immediate goal of writing useful programs.
Features examples tied to real-world engineering and scientific scenarios that are easily adapted and incorporated
Covers how to best leverage the plethora of open source Python packages as opposed to developing new software from scratch
Details the why, when, and how to incorporate Python into engineering designs and systems
Describes tool environments and software process best practices for rapid development
Demonstrates other uses of Python besides numerical computing, such as how to incorporate Python into engineering designs and systems, development tools and processes, and other ancillary uses to improve personal and organizational productivity through workflow automation
Points to more extensive material online for readers looking to explore advanced features
This practical and concise book serves as a self-contained introduction to engineers and readers from scientific disciplines new to programming or new to Python.
This book provides engineering students and practitioners with a simple and practical introduction to Python for technical programming and other empowering uses for engineering and scientific work, without computer science jargon.
i. Front Matter.
0. Introduction.
1. Language Overview.
2. General Purpose Scientific and Utility Libraries.
3. Engineering Analysis Examples.
4. Python Applications.
5. Processes and Tools. End Matter I. Appendix A: Keywords and Built-in Functions. End Matter II. References.
Raymond Madachy, Ph.D., is a Professor in the Systems Engineering Department at the Naval Postgraduate School. He has over 30 years of experience working in industry, academia, and consulting in technical and management positions. He received his B.S. in Mechanical Engineering from the University of Dayton, an M.S in System Science from University of California, San Diego, and his Ph.D. in Industrial and Systems Engineering from the University of Southern California. His research interests include system cost modeling, affordability and tradespace analysis, modeling and simulation of systems and software engineering processes, integrating systems engineering and software engineering disciplines, and systems modeling tool environments for digital engineering. He recently created and is lead developer for the open-source Python Modeling Library (PyML) for system modeling. His books include Software Process Dynamics, Software Cost Estimation with COCOMO II, Software Cost Estimation Metrics Manual for Defense Systems, and What Every Engineer Should Know about Modeling and Simulation, and he is currently writing Systems Engineering Principles for Software Engineers.
