Daniel Vaughan
- Auteur
Daniel Vaughan has worked with enterprise web applications for over 12 years. He is currently a software architect for a UK financial institution. An experienced Java developer, Daniel first started working with Google Web Toolkit soon after it was released in 2006 and loved the power and simplicity it bought to web application development. When Ext GWT came along he was an early adopter and has used it as part of several large projects.
Daniel currently splits his time between the beautiful tranquility of the Cotswolds, England and the fast-moving city state of Singapore.
Daniel currently splits his time between the beautiful tranquility of the Cotswolds, England and the fast-moving city state of Singapore.
Daniel Vaughan has worked with enterprise web applications for over 12 years. He is currently a software architect for a UK financial institution. An experienced Java developer, Daniel first started working with Google Web Toolkit soon after it was released in 2006 and loved the power and simplicity it bought to web application development. When Ext GWT came along he was an early adopter and has used it as part of several large projects.
Daniel currently splits his time between the beautiful tranquility of the Cotswolds, England and the fast-moving city state of Singapore. He enjoys travel, scuba diving, and learning new ideas.
Daniel currently splits his time between the beautiful tranquility of the Cotswolds, England and the fast-moving city state of Singapore. He enjoys travel, scuba diving, and learning new ideas.
Boeken van Daniel Vaughan
Daniel Vaughan
Programming Cloud Native Applications with Google Cloud
Cloud native development gives you the power to rapidly build, secure, and scale software. But you still need to navigate many potential pitfalls along the way.
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Daniel Vaughan
Data Science – The Hard Parts
This practical guide provides a collection of techniques and best practices that are generally overlooked in most data engineering and data science pedagogy.
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Daniel Vaughan
Analytical Skills for AI and Data Science
While several market-leading companies have successfully transformed their business models by following data- and AI-driven paths, the vast majority have yet to reap the benefits.
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