What Every Engineer Should Know About Python
eBook - ePub

What Every Engineer Should Know About Python

  1. 384 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

What Every Engineer Should Know About Python

About this book

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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Yes, you can access What Every Engineer Should Know About Python by Raymond J. Madachy in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Dedication Page
  7. Contents
  8. List of Figures
  9. List of Tables
  10. List of Listings
  11. Foreword
  12. Preface
  13. Chapter 0 Introduction
  14. Chapter 1 Language Overview
  15. Chapter 2 General Purpose Scientific and Utility Libraries
  16. Chapter 3 Engineering Analysis Examples
  17. Chapter 4 Python Applications
  18. Chapter 5 Processes and Tools
  19. Appendix A Keywords and Built-in Functions
  20. References
  21. Index