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Real World Instrumentation With Python


Real World Instrumentation With Python
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Real World Instrumentation With Python


Real World Instrumentation With Python
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Author : John M. Hughes
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2010-11-15

Real World Instrumentation With Python written by John M. Hughes and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-15 with Computers categories.


Learn how to develop your own applications to monitor or control instrumentation hardware. Whether you need to acquire data from a device or automate its functions, this practical book shows you how to use Python's rapid development capabilities to build interfaces that include everything from software to wiring. You get step-by-step instructions, clear examples, and hands-on tips for interfacing a PC to a variety of devices. Use the book's hardware survey to identify the interface type for your particular device, and then follow detailed examples to develop an interface with Python and C. Organized by interface type, data processing activities, and user interface implementations, this book is for anyone who works with instrumentation, robotics, data acquisition, or process control. Understand how to define the scope of an application and determine the algorithms necessary, and why it's important Learn how to use industry-standard interfaces such as RS-232, RS-485, and GPIB Create low-level extension modules in C to interface Python with a variety of hardware and test instruments Explore the console, curses, TkInter, and wxPython for graphical and text-based user interfaces Use open source software tools and libraries to reduce costs and avoid implementing functionality from scratch



Real World Instrumentation With Python


Real World Instrumentation With Python
DOWNLOAD
Author : John M. Hughes
language : en
Publisher:
Release Date : 2010

Real World Instrumentation With Python written by John M. Hughes and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Automatic control categories.


Learn how to develop your own applications to monitor or control instrumentation hardware. Whether you need to acquire data from a device or automate its functions, this practical book shows you how to use Python's rapid development capabilities to build interfaces that include everything from software to wiring. You get step-by-step instructions, clear examples, and hands-on tips for interfacing a PC to a variety of devices. Use the book's hardware survey to identify the interface type for your particular device, and then follow detailed examples to develop an interface with Python and C. Organized by interface type, data processing activities, and user interface implementations, this book is for anyone who works with instrumentation, robotics, data acquisition, or process control. Understand how to define the scope of an application and determine the algorithms necessary, and why it's important Learn how to use industry-standard interfaces such as RS-232, RS-485, and GPIB Create low-level extension modules in C to interface Python with a variety of hardware and test instruments Explore the console, curses, TkInter, and wxPython for graphical and text-based user interfaces Use open source software tools and libraries to reduce costs and avoid implementing functionality from scratch.



Nonlinear Digital Filtering With Python


Nonlinear Digital Filtering With Python
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Author : Ronald K. Pearson
language : en
Publisher: CRC Press
Release Date : 2018-09-03

Nonlinear Digital Filtering With Python written by Ronald K. Pearson and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-03 with Medical categories.


Nonlinear Digital Filtering with Python: An Introduction discusses important structural filter classes including the median filter and a number of its extensions (e.g., weighted and recursive median filters), and Volterra filters based on polynomial nonlinearities. Adopting both structural and behavioral approaches in characterizing and designing nonlinear digital filters, this book: Begins with an expedient introduction to programming in the free, open-source computing environment of Python Uses results from algebra and the theory of functional equations to construct and characterize behaviorally defined nonlinear filter classes Analyzes the impact of a range of useful interconnection strategies on filter behavior, providing Python implementations of the presented filters and interconnection strategies Proposes practical, bottom-up strategies for designing more complex and capable filters from simpler components in a way that preserves the key properties of these components Illustrates the behavioral consequences of allowing recursive (i.e., feedback) interconnections in nonlinear digital filters while highlighting a challenging but promising research frontier Nonlinear Digital Filtering with Python: An Introduction supplies essential knowledge useful for developing and implementing data cleaning filters for dynamic data analysis and time-series modeling.



Greenhouse Engineering


Greenhouse Engineering
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Author : V.P. Sethi
language : en
Publisher: CRC Press
Release Date : 2025-08-19

Greenhouse Engineering written by V.P. Sethi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-19 with Technology & Engineering categories.


The comprehensive software-based approach in this book provides an in-depth exploration of the latest innovations in greenhouse engineering, thus transforming the existing Controlled Environment Agriculture (CEA) to a futuristic Greenhouse Smart Agriculture (GSA), aiding the reader to optimize crop yields, reduce environmental impact, and enhance farm profitability through software decision support systems. From renewable energy solutions and software-driven sustainable practices to AI-powered optimization and integrated smart greenhouse design, it covers the entire spectrum of GSA, including practical knowledge, global case studies, and real-world examples. Key features: Explores innovative renewable energy solutions for Greenhouse Smart Agriculture Implements software-driven sustainable solutions for optimized crop yields and reduced environmental impact Develops innovative control strategies for Greenhouse Smart Agriculture using artificial intelligence, the Internet of Things, and advanced techniques Optimizes greenhouse production through modelling and simulation techniques for enhanced sustainability Designs and implements sustainable greenhouse climate control systems for heating, cooling, and energy efficiency Creates integrated smart greenhouse systems that combine automation, renewable energy, and sustainable design Harnesses the power of artificial intelligence, the Internet of Things, and data-driven approaches to enhance greenhouse optimization and sustainable agriculture Integrates smart soilless greenhouse agriculture and aquaponics using a design-to-software approach This book is aimed at university and greenhouse industry researchers, agricultural engineers, and graduate students in fields such as agriculture, agricultural and biosystems engineering, horticulture, environmental science, and renewable energy, as well as professional agricultural policymakers.



Arduino A Technical Reference


Arduino A Technical Reference
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Author : J. M. Hughes
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-05-16

Arduino A Technical Reference written by J. M. Hughes and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-16 with Computers categories.


Rather than yet another project-based workbook, Arduino: A Technical Reference is a reference and handbook that thoroughly describes the electrical and performance aspects of an Arduino board and its software. This book brings together in one place all the information you need to get something done with Arduino. It will save you from endless web searches and digging through translations of datasheets or notes in project-based texts to find the information that corresponds to your own particular setup and question. Reference features include pinout diagrams, a discussion of the AVR microcontrollers used with Arduino boards, a look under the hood at the firmware and run-time libraries that make the Arduino unique, and extensive coverage of the various shields and add-on sensors that can be used with an Arduino. One chapter is devoted to creating a new shield from scratch. The book wraps up with detailed descriptions of three different projects: a programmable signal generator, a "smart" thermostat, and a programmable launch sequencer for model rockets. Each project highlights one or more topics that can be applied to other applications.



Autonomous Nuclear Power Plants With Artificial Intelligence


Autonomous Nuclear Power Plants With Artificial Intelligence
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Author : Jonghyun Kim
language : en
Publisher: Springer Nature
Release Date : 2023-02-20

Autonomous Nuclear Power Plants With Artificial Intelligence written by Jonghyun Kim and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-20 with Technology & Engineering categories.


This book introduces novel approaches and practical examples of autonomous nuclear power plants that minimize operator intervention. Autonomous nuclear power plants with artificial intelligence presents a framework to enable nuclear power plants to autonomously operate and introduces artificial intelligence (AI) techniques to implement its functions. Although nuclear power plants are already highly automated to reduce human errors and guarantee the reliability of system operations, the term “autonomous” is still not popular because AI techniques are regarded as less proven technologies. However, the use of AI techniques and the autonomous operation seems unavoidable because of their great advantages, especially, in advanced reactors and small modular reactors. The book includes the following topics: Monitoring, diagnosis, and prediction. Intelligent control. Operator support systems. Operator-autonomous system interaction. Integration into the autonomous operation system. This book will provides useful information for researchers and students who are interested in applying AI techniques in the fields of nuclear as well as other industries. This book covers broad practical applications of AI techniques from the classical fault diagnosis to more recent autonomous control. In addition, specific techniques and modelling examples are expected to be very informative to the beginners in the AI studies.



Python Decorators In Depth


Python Decorators In Depth
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-18

Python Decorators In Depth written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-18 with Computers categories.


"Python Decorators in Depth" "Python Decorators in Depth" is a comprehensive technical guide meticulously crafted for Python developers seeking mastery over one of the language’s most powerful, yet nuanced features. The book begins by establishing a rigorous foundation in core topics such as first-class functions, callables, closures, and introspection, providing the essential underpinnings needed to understand and architect sophisticated decorators. Early chapters expertly elucidate how the LEGB scoping model, function attributes, and mutable closure state all contribute to building robust, maintainable decorators. Progressing from fundamentals to advanced abstractions, the book systematically unpacks decorator syntax, parameterization, stacking, metadata preservation, and the interplay between decorators, type hints, and function signatures. Real-world patterns are explored in depth, including techniques for robust logging, access control, memoization, input validation, exception handling, and performance monitoring. Additional chapters are devoted to class decorators, the descriptor protocol, coroutine-aware decoration, and object-oriented design patterns, ensuring readers gain practical insights into leveraging decorators across a gamut of modern Python applications. The latter sections address decorators’ pivotal roles in concurrent programming, distributed task orchestration, and dynamic meta-programming. Advanced topics include runtime code generation, plugin registration systems, multiple dispatch, and seamless integration with C extensions. Extensive, hands-on guidance for testing, profiling, and debugging decorator logic empowers readers to deliver production-quality, high-performance code. Concluding with sections on best practices, architectural pitfalls, security, and the future evolution of decorators in Python, this book stands as both a definitive reference and an indispensable resource for professionals and advanced enthusiasts alike.



Provenance In Data Science


Provenance In Data Science
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Author : Leslie F. Sikos
language : en
Publisher: Springer Nature
Release Date : 2021-04-26

Provenance In Data Science written by Leslie F. Sikos and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-26 with Computers categories.


RDF-based knowledge graphs require additional formalisms to be fully context-aware, which is presented in this book. This book also provides a collection of provenance techniques and state-of-the-art metadata-enhanced, provenance-aware, knowledge graph-based representations across multiple application domains, in order to demonstrate how to combine graph-based data models and provenance representations. This is important to make statements authoritative, verifiable, and reproducible, such as in biomedical, pharmaceutical, and cybersecurity applications, where the data source and generator can be just as important as the data itself. Capturing provenance is critical to ensure sound experimental results and rigorously designed research studies for patient and drug safety, pathology reports, and medical evidence generation. Similarly, provenance is needed for cyberthreat intelligence dashboards and attack maps that aggregate and/or fuse heterogeneous data from disparate data sources to differentiate between unimportant online events and dangerous cyberattacks, which is demonstrated in this book. Without provenance, data reliability and trustworthiness might be limited, causing data reuse, trust, reproducibility and accountability issues. This book primarily targets researchers who utilize knowledge graphs in their methods and approaches (this includes researchers from a variety of domains, such as cybersecurity, eHealth, data science, Semantic Web, etc.). This book collects core facts for the state of the art in provenance approaches and techniques, complemented by a critical review of existing approaches. New research directions are also provided that combine data science and knowledge graphs, for an increasingly important research topic.



Python For Devops


Python For Devops
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Author : Noah Gift
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-12-12

Python For Devops written by Noah Gift and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-12 with Computers categories.


Much has changed in technology over the past decade. Data is hot, the cloud is ubiquitous, and many organizations need some form of automation. Throughout these transformations, Python has become one of the most popular languages in the world. This practical resource shows you how to use Python for everyday Linux systems administration tasks with today’s most useful DevOps tools, including Docker, Kubernetes, and Terraform. Learning how to interact and automate with Linux is essential for millions of professionals. Python makes it much easier. With this book, you’ll learn how to develop software and solve problems using containers, as well as how to monitor, instrument, load-test, and operationalize your software. Looking for effective ways to "get stuff done" in Python? This is your guide. Python foundations, including a brief introduction to the language How to automate text, write command-line tools, and automate the filesystem Linux utilities, package management, build systems, monitoring and instrumentation, and automated testing Cloud computing, infrastructure as code, Kubernetes, and serverless Machine learning operations and data engineering from a DevOps perspective Building, deploying, and operationalizing a machine learning project



Mastering Opentelemetry And Observability


Mastering Opentelemetry And Observability
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Author : Steve Flanders
language : en
Publisher: John Wiley & Sons
Release Date : 2024-10-22

Mastering Opentelemetry And Observability written by Steve Flanders and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-22 with Computers categories.


Discover the power of open source observability for your enterprise environment In Mastering Observability and OpenTelemetry: Enhancing Application and Infrastructure Performance and Avoiding Outages, accomplished engineering leader and open source contributor Steve Flanders unlocks the secrets of enterprise application observability with a comprehensive guide to OpenTelemetry (OTel). Explore how OTel transforms observability, providing a robust toolkit for capturing and analyzing telemetry data across your environment. You will learn how OTel delivers unmatched flexibility, extensibility, and vendor neutrality, freeing you from vendor lock-in and enabling data sovereignty and portability. You will also discover: Comprehensive coverage of observability issues and technology: Dive deep into the world of observability and gain a comprehensive understanding of observability fundamentals with practical insights and real-world use cases. Practical guidance: From instrumentation techniques to advanced tracing strategies, gain the skills needed to create highly observable systems. Learn how to deploy and configure OTel, even in challenging brownfield environments, with step-by-step instructions and hands-on exercises. An opportunity for community contributions and communication: Join the OTel community, including end-users, vendors, and cloud providers, and shape the future of observability while connecting with experts and peers. Whether you are a novice or a seasoned professional, Mastering Observability and OpenTelemetry is your roadmap to troubleshooting availability and performance problems by learning to detect anomalies, interpret data, and proactively optimize performance in your enterprise environment. Embark on your journey to observability mastery today!