Programming

Protocol Oriented Programming This page features the latest and most popular books on protocol oriented programming with the Swift programming language. Protocol oriented programming is a paradigm that focuses on composing complex applications out of simple protocol definitions rather than concrete types. This page provides descriptions of key protocol oriented programming concepts and highlights top books that teach developers how to build Swift applications using this technique.

Bestsellers

A range of our top selling data products from the last year

Swift Protocol-Oriented Programming

Jun 2019 224 pages

eBook

€19.99

Swift 4 Protocol-Oriented Programming

Oct 2017 210 pages

4.1 (29)

eBook

€26.99

Swift 4 Protocol-Oriented Programming

Dec 2017 2hrs 54mins

Video

€103.99

What's New

Our latest data releases from the last few months.

Swift Protocol-Oriented Programming

Jun 2019 224 pages

eBook

€19.99

Swift 4 Protocol-Oriented Programming

Dec 2017 2hrs 54mins

Video

€103.99

Swift 4 Protocol-Oriented Programming

Oct 2017 210 pages

4.1 (29)

eBook

€26.99

Swift Protocol-Oriented Programming

Protocol-oriented programming is an incredibly powerful concept at the heart of Swift's design. Swift's standard library was developed using POP techniques, generics, and first-class value semantics; therefore, it is important for every Swift developer to understand these core concepts and take advantage of them. The fourth edition of this book is improved and updated to the latest version of the Swift programming language. This book will help you understand what protocol-oriented programming is all about and how it is different from other programming paradigms such as object-oriented programming. This book covers topics such as generics, Copy-On-Write, extensions, and of course protocols. It also demonstrates how to use protocol-oriented programming techniques via real-world use cases. By the end of this book, you will know how to use protocol-oriented programming techniques to build powerful and practical applications.

Jon Hoffman

eBook Jun 2019 448

€19.99

Beginner's Corner

Our top picks for starting your programming journey.

Swift Protocol-Oriented Programming

Jun 2019 224 pages

eBook

€19.99

Swift 4 Protocol-Oriented Programming

Oct 2017 210 pages

4.1 (29)

eBook

€26.99

Popular Authors (10)

Raghav Bali

Raghav Bali is a Staff Data Scientist at Delivery Hero, a leading food delivery service headquartered in Berlin, Germany. With 12+ years of expertise, he specializes in research and development of enterprise-level solutions leveraging Machine Learning, Deep Learning, Natural Language Processing, and Recommendation Engines for practical business applications.nBesides his professional endeavors, Raghav is an esteemed mentor and an accomplished public speaker. He has contributed to multiple peer-reviewed papers and authored multiple well received books. Additionally, he holds co-inventor credits on multiple patents in healthcare, machine learning, deep learning, and natural language processing.

Most popular book of Raghav Bali

Generative AI with Python and TensorFlow 2

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Serg Masís

Serg Masís has been at the confluence of the internet, application development, and analytics for the last two decades. Currently, he's a climate and agronomic data scientist at Syngenta, a leading agribusiness company with a mission to improve global food security. Before that role, he co-founded a start-up, incubated by Harvard Innovation Labs, that combined the power of cloud computing and machine learning with principles in decision-making science to expose users to new places and events. Whether it pertains to leisure activities, plant diseases, or customer lifetime value, Serg is passionate about providing the often-missing link between data and decision-making—and machine learning interpretation helps bridge this gap robustly.

Most popular book of Serg Masís

Interpretable Machine Learning with Python

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Amita Kapoor

Amita Kapoor, a seasoned expert in Artificial Intelligence, serves as the Chief Artificial Intelligence Officer at Retured, bringing over 25 years of experience in AI, data science, and neuroscience. Her consultancy, NePeur, stands testament to her leadership in applying AI across diverse industries, enhancing operational efficiency and business intelligence. Amita is also a devoted board member of Neuromatch Academy, where she plays a crucial role in making neuroscience and deep learning education accessible to all. Holding a PhD from the University of Delhi, she has dedicated her career to education, authoring numerous articles and papers, and creating impactful online classes. Her significant contributions extend to pioneering projects in intelligent vehicle fleet management, home surveillance through AI-powered face detection, and robust data anonymization solutions. Connect with Amita on LinkedIn.

Most popular book of Amita Kapoor

Deep Learning with TensorFlow and Keras – 3rd edition

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Yogesh Raheja, Thinknyx Technologies

Thinknyx® Technologies is a recognized brand providing IT consulting & implementation services, delivering comprehensive Information Technology and Soft Skills Trainings and providing Talent Acquisition (Recruitment) solutions to diverse organizations worldwide. With over a decade of core industry experience, they have successfully aided their customers in strategic planning and flawless execution of solutions around IT and Non-IT initiatives.nYogesh Raheja is the Founder and a senior Solutions Architect at Thinknyx Technologies and an instructor of video courses. Yogesh has been a trusted advisor for numerous organizations, guiding them through their DevOps journey, infrastructure as code, containerization, cloud computing, Automation solutions and AI/ML/Generative AI with his expertise. He has also authored several globally published books (like "Effective DevOps with AWS", "Automation with SaltStack", "Automation with Puppet 5" and "Automation with Ansible") published by Packt, Wiley, and OrangeAVA.

Most popular book of Yogesh Raheja, Thinknyx Technologies

AI Ecosystem for the Absolute Beginners - Hands-On

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Sebastian Raschka

Sebastian Raschka is an Assistant Professor of Statistics at the University of Wisconsin-Madison focusing on machine learning and deep learning research. As Lead AI Educator at Grid AI, Sebastian plans to continue following his passion for helping people get into machine learning and artificial intelligence.

Most popular book of Sebastian Raschka

Machine Learning with PyTorch and Scikit-Learn

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Maaike van Putten

Maaike is a software consultant and trainer with a passion for sharing her expertise to empower others in their careers. Her love for software development shows in the numerous software development projects she participated in and the many certifications she obtained. She has designed and delivered a broad spectrum of training courses catering to beginners and seasoned developers in Java, Python, C# and many other languages and frameworks. Next to that, she has authored multiple books and online courses through multiple platforms reaching over 500,000 learners across the globe.

Most popular book of Maaike van Putten

JavaScript from Beginner to Professional

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Tarek A. Atwan

Tarek A. Atwan is a data analytics expert with over 16 years of international consulting experience, providing subject matter expertise in data science, machine learning operations, data engineering, and business intelligence. He has taught multiple hands-on coding boot camps, courses, and workshops on various topics, including data science, data visualization, Python programming, time series forecasting, and blockchain at various universities in the United States. He is regarded as a data science mentor and advisor, working with executive leaders in numerous industries to solve complex problems using a data-driven approach.

Most popular book of Tarek A. Atwan

Time Series Analysis with Python Cookbook

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Manu Joseph

Manu Joseph is a self-made data scientist with more than a decade of experience working with many Fortune 500 companies enabling digital and AI transformations, specifically in machine learning-based demand forecasting. He is considered an expert, thought leader, and strong voice in the world of time series forecasting. Currently, Manu leads applied research at Thoucentric, where he advances research by bringing cutting-edge AI technologies to the industry. He is also an active open-source contributor and developed an open-source library—PyTorch Tabular—which makes deep learning for tabular data easy and accessible. Originally from Thiruvananthapuram, India, Manu currently resides in Bengaluru, India, with his wife and son

Most popular book of Manu Joseph

Modern Time Series Forecasting with Python

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Ben Auffarth

Ben Auffarth is a full-stack data scientist with more than 15 years of work experience. With a background and Ph.D. in computational and cognitive neuroscience, he has designed and conducted wet lab experiments on cell cultures, analyzed experiments with terabytes of data, run brain models on IBM supercomputers with up to 64k cores, built production systems processing hundreds and thousands of transactions per day, and trained language models on a large corpus of text documents. He co-founded and is the former president of Data Science Speakers, London.

Most popular book of Ben Auffarth

Generative AI with LangChain

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Kirill Kolodiazhnyi

Kirill Kolodiazhnyi is a seasoned soft ware engineer with expertise in custom soft ware development. He has several years of experience building machine learning models and data products using C++. He holds a bachelor’s degree in computer science from the Kharkiv National University of Radio Electronics.

Most popular book of Kirill Kolodiazhnyi

Hands-On Machine Learning with C++

See 2 other products by Kirill Kolodiazhnyi

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