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.
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.
"synopsis" may belong to another edition of this title.
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.
"About this title" may belong to another edition of this title.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New. Seller Inventory # 48904062-n
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. 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 adaptedExplains how to leverage the vast ecosystem of open-source Python packages for scientific applications, rather than developing new software from scratchCovers the incorporation of Python into engineering designs and systems, whether web-based, desktop, or embeddedProvides guidance on optimizing generative AI with Python, including case study examplesDescribes software tool environments and development practices for the rapid creation of high-quality softwareDemonstrates how Python can improve personal and organizational productivity through workflow automationDirects readers to further resources for exploring advanced Python featuresThis 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. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781032355627
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New. Seller Inventory # 48904062-n
Quantity: 10 available
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition. Seller Inventory # 48904062
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition. Seller Inventory # 48904062
Quantity: 10 available
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Seller Inventory # 409094500
Quantity: 3 available
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In. Seller Inventory # ria9781032355627_new
Quantity: Over 20 available
Seller: California Books, Miami, FL, U.S.A.
Condition: New. Seller Inventory # I-9781032355627
Seller: CitiRetail, Stevenage, United Kingdom
Hardcover. Condition: new. Hardcover. 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 adaptedExplains how to leverage the vast ecosystem of open-source Python packages for scientific applications, rather than developing new software from scratchCovers the incorporation of Python into engineering designs and systems, whether web-based, desktop, or embeddedProvides guidance on optimizing generative AI with Python, including case study examplesDescribes software tool environments and development practices for the rapid creation of high-quality softwareDemonstrates how Python can improve personal and organizational productivity through workflow automationDirects readers to further resources for exploring advanced Python featuresThis 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. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781032355627
Quantity: 1 available
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Hardback. Condition: New. New copy - Usually dispatched within 4 working days. Seller Inventory # B9781032355627
Quantity: 1 available