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Scale mobile applications to handle an enormous user base and development team. This book outlines the scaling challenges that mobile engineers face and some standard techniques and design patterns to deal with those issues. You already know the basics of iOS development, but how do you learn the key concepts and patterns to scale a mobile application? You’ll start by learning the fundamentals of the iOS platform often overlooked when using out-of-the-box iOS solutions. While standard iOS solutions might work at a small scale, the most prominent tech companies reinvent these for highly customized usage, making understanding the underlying concepts crucial. Understanding these concepts reduces ramp-up time and allows engineers to understand the "why" intuitively. Having mastered the fundamentals, you'll next focus on architecture and design principles to build, maintain, and release features within a large codebase and the soft skills to enact change in a larger organization. You’ll be empowered with a deeper understanding of iOS design patterns and the industry knowledge necessary to take their features from idea to production. You’ll also study the people skills to get things done in a large organization—a critical step to growing one's career. Upon completing iOS Development at Scale, you'll understand the solutions and tradeoffs you can leverage to build better applications and grow your career. You will: Apply computer science and engineering fundamentals to the iOS platform Implement knowledge of iOS architecture and best practices at large-scale companies Identify current gaps in your product and gain alignment within the broader organization Solve problems with knowledge of systems architecture and industry best practices to identify and address gaps in your codebase.
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Control the performance and stability of the apps you develop in Swift by working with and understanding advanced concepts in data structures and algorithms. All professional developers have to know which data structure and algorithms to use in their development process. Your choice directly affects the performance of your application. With this book, you’ll increase the performance of your software, become a better developer, and even pass tricky interview questions better when looking at professional development opportunities. Guided by compact and practical chapters, you'll learn the nature and proper use of data structures such as arrays, dictionaries, sets, stacks, queues, lists, hash tables, trie, heaps, binary trees, red black trees, and R-trees. Use the main differences among them to determine which will make your applications efficient and faster. Then tackle algorithms. Work with Big O notation; sorting algorithms such as Insertion, Merge, and Quick; Naive and Rabin Karp algorithms; and Graph Algorithms. Data Structures and Algorithms in Swift encourages you to further and understand how to best choose the perfect algorithm for your application’s needs. You will: Retrieve, add, and remove elements in arrays Implement stacks, queues, and lists in your apps Sort algorithms and choose the best ones for your apps.
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Programming --- microcomputers --- Apple II --- Apple
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Control the performance and stability of the apps you develop in Swift by working with and understanding advanced concepts in data structures and algorithms. All professional developers have to know which data structure and algorithms to use in their development process. Your choice directly affects the performance of your application. With this book, you’ll increase the performance of your software, become a better developer, and even pass tricky interview questions better when looking at professional development opportunities. Guided by compact and practical chapters, you'll learn the nature and proper use of data structures such as arrays, dictionaries, sets, stacks, queues, lists, hash tables, trie, heaps, binary trees, red black trees, and R-trees. Use the main differences among them to determine which will make your applications efficient and faster. Then tackle algorithms. Work with Big O notation; sorting algorithms such as Insertion, Merge, and Quick; Naive and Rabin Karp algorithms; and Graph Algorithms. Data Structures and Algorithms in Swift encourages you to further and understand how to best choose the perfect algorithm for your application’s needs. You will: Retrieve, add, and remove elements in arrays Implement stacks, queues, and lists in your apps Sort algorithms and choose the best ones for your apps.
Choose an application
Choose an application
Control the performance and stability of the apps you develop in Swift by working with and understanding advanced concepts in data structures and algorithms. All professional developers have to know which data structure and algorithms to use in their development process. Your choice directly affects the performance of your application. With this book, you’ll increase the performance of your software, become a better developer, and even pass tricky interview questions better when looking at professional development opportunities. Guided by compact and practical chapters, you'll learn the nature and proper use of data structures such as arrays, dictionaries, sets, stacks, queues, lists, hash tables, trie, heaps, binary trees, red black trees, and R-trees. Use the main differences among them to determine which will make your applications efficient and faster. Then tackle algorithms. Work with Big O notation; sorting algorithms such as Insertion, Merge, and Quick; Naive and Rabin Karp algorithms; and Graph Algorithms. Data Structures and Algorithms in Swift encourages you to further and understand how to best choose the perfect algorithm for your application’s needs. You will: Retrieve, add, and remove elements in arrays Implement stacks, queues, and lists in your apps Sort algorithms and choose the best ones for your apps.
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Apple IIe (Computer) --- Apple IIc (Computer) --- Apple IIGS (Computer)