LabVIEW Graphical Programming Cookbook (Anglais) Broché – 23 janvier 2014
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Description du produit
Présentation de l'éditeur
About This Book
- Learn how to manage data flow
- Demonstrate common coding practices
- Study how to use external code in DLL format
- Create and customize user interfaces
Who This Book Is For
If you are a developer, scientist, or engineer who uses LabVIEW to test, develop and manage advanced level applications, then this is the book for you. Prerequisites include proficiency in C or C++, and workable knowledge of LabVIEW.
What You Will Learn
- Learn how to create animation
- Acquire knowledge on multi-thread programming
- Understand how to perform data acquisition
- Empower yourself in the art of handling errors
- Discover how to use common architectures
- Study how to handle different file types
LabVIEW is a graphical programming development environment for problem solving, accelerated productivity, and continual innovation. It integrates all the tools that engineers and scientists need to build a wide range of applications in a short amount of time. It offers unprecedented integration with existing legacy software, IP, and hardware, while capitalizing on the latest computing technologies.
LabVIEW Graphical Programming Cookbook is a concise and fast paced guide to help you gain a comprehensive understanding of the different features and programming practices in LabVIEW. All the concepts in the book are described with the help of examples. This book also shows you how to pass data using STM, in addition to helping you understand different ways to handle errors.
You will start by learning about LabVIEW settings, and then, the different features of LabVIEW using the front panel and block diagram. For the front panel, a variety of tips on creating a user interface are provided. For the block diagram, different architectures such as master slave architecture and state machine architecture are demonstrated, along with how data is passed among different sections of the code. Finally, the book shows you different ways to work with external code in DLL format and external applications.
Biographie de l'auteur
Yik Yang is a test engineer living in Chicago who has specialized in automation and data analysis. Having worked in multiple fields such as semiconductor, automotive, and power, he has experience with different types of automation and understands what are the industries' needs. He started his career after receiving his Bachelor's and Master's degrees in Electrical Engineering at Virginia Tech. In his career, he worked on automation projects that used CompactDAQ, PXI, FPGA, and so on in LabVIEW. He has also spent a lot of time with Lean Six Sigma and statistical analysis with JMP. He is a certified Professional Engineer (PE) in North Carolina and a Certified LabVIEW Developer (CLD).
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Détails sur le produit
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Commentaires client les plus utiles sur Amazon.com
I had a hard time deciding how many stars to give this book. From a technical perspective, I am willing to give it 4 stars due to a number of the explanations, but the overly simplified explanations and a need for further proof-reading drags it down.
I think that a number of "recipes" it presents are very useful, and I will definitely be adding one or two of the recipes to my re-use library. However, the author also regularly demonstrates a number of my biggest pet peeves (e.g. use of Default on case statements where every case has been defined). There is also inconsistent usage of the error cluster which may result in unhandled errors and unexpected behaviors from some of the "handled" errors.
From a proof reading point of view, I do not feel that the images display code that conforms to proper standards (e.g. wires hidden under case borders). While reading this, I started tagging mistakes, I found myself marking an average of every third page due to grammer, poor screenshots, or incorrect naming conventions.
I've personally used LabVIEW for a number of large projects involving both interfacing instrumentation from various manufacturers and NI DAQ. However, I'm scientist before a programmer and I have very little formal training with 'good' coding technique. A book like this seems like it can be quite useful in helping me find the optimal way to complete a task. After just a short look through, I admit I've seen a few places where I could go back and improve old code I've written.
I can't comment on the usefulness to those with more formal CS training, but I would recommend this book to what I imagine are a large number of LabVIEW users - scientists "suffering" through writing code for collecting data or interfacing instrumentation.