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Find a path to becoming a Custom Development. Learn more at:
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Reading list
We've selected 13 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Custom Development.
Comprehensively covers both the front-end and back-end aspects of custom web development using the latest versions of ASP.NET Core and Angular, ensuring that readers gain a thorough understanding of modern web development approaches and best practices.
Is tailored for readers who want to build interactive and dynamic web applications with Angular and TypeScript. It covers essential concepts, best practices, and advanced techniques for developing custom Angular applications, making it a valuable resource for front-end developers.
While not specifically focused on custom development, this book provides timeless principles and best practices for software development in general. Its insights and practical advice can be applied to any software development project, including custom development efforts.
Emphasizes the importance of writing clean and maintainable code, which is crucial for building high-quality custom software solutions. It provides practical guidelines and techniques for improving code readability, reducing complexity, and ensuring code longevity.
Explores agile software development methodologies and their application in custom development projects. It covers principles, practices, and tools for effective agile development, helping readers understand how to deliver custom software solutions efficiently and iteratively.
Provides a comprehensive overview of microservices architecture and its application in custom development. It covers the benefits, challenges, and best practices of designing and building microservices-based software systems.
Focuses on designing and building data-intensive applications, which are often encountered in custom development projects that handle large amounts of data. It covers data modeling, storage, processing, and analysis techniques.
Covers Elasticsearch, a popular search and analytics engine used in custom development projects for indexing and searching large amounts of data.
Introduces machine learning concepts and techniques using the R programming language. It covers various machine learning algorithms and their application in custom development projects that involve data analysis and prediction.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/39b916/custom
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