| ISBN13: | 9781032358185 |
| ISBN10: | 1032358181 |
| Binding: | Paperback |
| No. of pages: | 318 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 |
Engineering in general
Chemical engineering and industry
Mechanical Engineering Sciences
Energy industry
Theory of computing, computing in general
Computer architecture, logic design
Supercomputers
Operating systems and graphical user interfaces
Software development
High-level programming
Programming in general
Product design
What Every Engineer Should Know About Python
GBP 49.99
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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.
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.
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.
