Making Embedded Systems
Design Patterns for Great Software
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Making Embedded Systems
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Narrated by:
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April Doty
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By:
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Elecia White
About this listen
Interested in developing embedded systems? Since they don't tolerate inefficiency, these systems require a disciplined approach to programming. This accessible guide helps you cultivate good development practices based on classic software design patterns and new patterns unique to embedded programming.
Written by an expert who has created systems ranging from DNA scanners to children's toys, this book is ideal for intermediate and experienced programmers, no matter what platform you use. This expanded second edition includes new chapters on IoT and networked sensors, motors and movement, debugging, data handling strategies, and more.
In this book, you'll learn how to optimize your system to reduce cost and increase performance; develop an architecture that makes your software robust in resource-constrained environments; explore sensors, displays, motors, and other I/O devices; and reduce RAM and power consumption, code space, and processor cycles. The book also covers interpreting schematics, datasheets, and power requirements; implementing complex mathematics and machine learning on small processors; and designing effective embedded systems for IoT and networked sensors.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2024 Elecia White (P)2024 Ascent AudioListeners also enjoyed...
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- Narrated by: Adam Verner
- Length: 17 hrs and 31 mins
- Unabridged
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Overall4.5 out of 5 stars 41
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Performance4.5 out of 5 stars 35
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Story4.5 out of 5 stars 35
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.
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5 out of 5 stars
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Great for Hands on Business owners
- By LmL on 08-14-24
By: Joe Reis, and others
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Introducing Python (2nd Edition)
- Modern Computing in Simple Packages
- By: Bill Lubanovic
- Narrated by: Derek Dysart
- Length: 13 hrs and 3 mins
- Unabridged
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Overall5 out of 5 stars 6
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Performance5 out of 5 stars 3
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Story5 out of 5 stars 3
Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.
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5 out of 5 stars
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Exactly what I wanted and expected.
- By ridgeway137 on 03-05-24
By: Bill Lubanovic
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Database Internals
- A Deep Dive into How Distributed Data Systems Work, 1st Edition
- By: Alex Petrov
- Narrated by: Mike Chamberlain
- Length: 12 hrs and 51 mins
- Unabridged
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Overall4 out of 5 stars 6
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Performance5 out of 5 stars 5
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Story3.5 out of 5 stars 5
When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.
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5 out of 5 stars
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I can't believe this exists as an audiobook.
- By Michael Marcin on 12-18-23
By: Alex Petrov
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Monolith to Microservices
- Evolutionary Patterns to Transform Your Monolith
- By: Sam Newman
- Narrated by: Mitchell Dorian
- Length: 6 hrs and 45 mins
- Unabridged
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Overall4.5 out of 5 stars 114
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Performance5 out of 5 stars 96
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Story4.5 out of 5 stars 96
How do you detangle a monolithic system and migrate it to a microservice architecture? How do you do it while maintaining business-as-usual? As a companion to Sam Newman’s extremely popular Building Microservices, this new book details a proven method for transitioning an existing monolithic system to a microservice architecture.
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5 out of 5 stars
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Pretty good, but could be better
- By Uri Simhony on 04-11-21
By: Sam Newman
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Fundamentals of Software Architecture
- An Engineering Approach
- By: Mark Richards, Neal Ford
- Narrated by: Benjamin Lange
- Length: 13 hrs and 10 mins
- Unabridged
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Overall4.5 out of 5 stars 274
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Performance5 out of 5 stars 226
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Story4.5 out of 5 stars 223
This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks.
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5 out of 5 stars
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Helpful but business-centric
- By A.N. on 03-25-21
By: Mark Richards, and others
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Prompt Engineering for Generative AI
- Future-Proof Inputs for Reliable AI Outputs
- By: James Phoenix, Mike Taylor
- Narrated by: Mike Chamberlain
- Length: 11 hrs and 6 mins
- Unabridged
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Overall0 out of 5 stars 0
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Performance0 out of 5 stars 0
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Story0 out of 5 stars 0
Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice.
By: James Phoenix, and others
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Designing Machine Learning Systems
- An Iterative Process for Production-Ready Applications
- By: Chip Huyen
- Narrated by: Kathleen Li
- Length: 15 hrs
- Unabridged
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Overall0 out of 5 stars 0
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Performance0 out of 5 stars 0
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Story0 out of 5 stars 0
Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.
By: Chip Huyen
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The Little Book of Market Wizards
- Lessons from the Greatest Traders
- By: Jack D. Schwager
- Narrated by: Danny Campbell
- Length: 3 hrs and 49 mins
- Unabridged
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Overall4.5 out of 5 stars 100
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Performance5 out of 5 stars 79
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Story4.5 out of 5 stars 79
What differentiates the highly successful market practitioners - the Market Wizards - from ordinary traders? What traits do they share? What lessons can the average trader learn from those who achieved superior returns for decades while still maintaining strict risk control? In The Little Book of Market Wizards, Jack Schwager seeks to distill what he considers the essential lessons he learned in conducting nearly four dozen interviews with some of the world's best traders.
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5 out of 5 stars
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MARKET WIZARDS GREATEST HITS
- By Donald Vandenbord on 11-25-23
By: Jack D. Schwager
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Data Mesh
- Delivering Data-Driven Value at Scale
- By: Zhamak Dehghani
- Narrated by: Zura Johnson
- Length: 14 hrs and 2 mins
- Unabridged
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Overall4 out of 5 stars 10
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Performance3.5 out of 5 stars 5
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Story4 out of 5 stars 5
We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale.
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2 out of 5 stars
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Better Reference Text than an audiobook
- By Amazon Customer on 05-25-25
By: Zhamak Dehghani
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The Pragmatic Programmer: 20th Anniversary Edition, 2nd Edition
- Your Journey to Mastery
- By: David Thomas, Andrew Hunt
- Narrated by: Anna Katarina
- Length: 9 hrs and 55 mins
- Unabridged
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Overall4.5 out of 5 stars 1,591
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Performance5 out of 5 stars 1,289
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Story4.5 out of 5 stars 1,271
Dave Thomas and Andy Hunt wrote the first edition of this influential book in 1999 to help their clients create better software and rediscover the joy of coding. These lessons have helped a generation of programmers examine the very essence of software development. Now, 20 years later, this new edition re-examines what it means to be a modern programmer. Topics range from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse.
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5 out of 5 stars
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An excellent and entertaining technical book
- By Amazon Customer on 01-21-20
By: David Thomas, and others
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Why Machines Learn
- The Elegant Math Behind Modern AI
- By: Anil Ananthaswamy
- Narrated by: Rene Ruiz
- Length: 13 hrs and 30 mins
- Unabridged
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Overall4.5 out of 5 stars 32
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Performance4.5 out of 5 stars 31
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Story4.5 out of 5 stars 31
We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.
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5 out of 5 stars
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A great listen, but a physical book is pre appropriate
- By Sameer D. on 11-07-24
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Becoming a Data Head
- How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
- By: Alex J. Gutman, Jordan Goldmeier
- Narrated by: Brian Arens
- Length: 7 hrs and 41 mins
- Unabridged
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Overall4 out of 5 stars 7
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Performance4.5 out of 5 stars 6
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Story4.5 out of 5 stars 6
Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.
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5 out of 5 stars
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The best data science manual ever written
- By Jordan on 08-29-24
By: Alex J. Gutman, and others
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The Art of Statistics
- How to Learn from Data
- By: David Spiegelhalter
- Narrated by: Jonathan Davis
- Length: 9 hrs and 1 min
- Unabridged
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Overall4.5 out of 5 stars 292
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Performance4.5 out of 5 stars 238
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Story4.5 out of 5 stars 238
Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence - and even more so if we hope to participate in the future, rather than being simple bystanders.
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4 out of 5 stars
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very good statistics overview
- By Tom on 11-29-19
Comprehensive Guide to Embedded Systems for all levels of reader/listener.
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