Engineers across all disciplines can benefit from learning Python. This powerful programming language enables engineers to enhance their skill sets and perform more sophisticated work in less time, whether in engineering analysis, system design and development, integration and testing, machine learning and other artificial intelligence applications, project management, or other areas. What Every Engineer Should Know About Python offers students and practicing engineers a straightforward and practical introduction to Python for technical programming and broader uses to enhance productivity. It focuses on the core features of Python most relevant to engineering tasks, avoids computer science jargon, and emphasizes writing useful software while effectively leveraging generative AI.
Features examples tied to real-world engineering scenarios that are easily adapted
Explains how to leverage the vast ecosystem of open-source Python packages for scientific applications, rather than developing new software from scratch
Covers the incorporation of Python into engineering designs and systems, whether web-based, desktop, or embedded
Provides guidance on optimizing generative AI with Python, including case study examples
Describes software tool environments and development practices for the rapid creation of high-quality software
Demonstrates how Python can improve personal and organizational productivity through workflow automation
Directs readers to further resources for exploring advanced Python features
This practical and concise book serves as a self-contained introduction for engineers and readers from scientific disciplines who are new to programming or to Python.
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.
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