What Every Engineer Should Know About Python
Series: What Every Engineer Should Know;
- Publisher's listprice GBP 120.00
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60 732 Ft (57 840 Ft + 5% VAT)
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60 732 Ft
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Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 16 May 2025
- ISBN 9781032355627
- Binding Hardback
- No. of pages318 pages
- Size 234x156 mm
- Language English
- Illustrations 25 Illustrations, black & white; 50 Illustrations, color; 11 Halftones, black & white; 50 Halftones, color; 14 Line drawings, black & white; 41 Tables, black & white 700
Categories
Short description:
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.
MoreLong description:
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.
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Table of Contents:
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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