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iOS Development with Swift - Craig Grummitt - Bog - Manning Publications - Plusbog.dk

iOS Development with Swift - Craig Grummitt - Bog - Manning Publications - Plusbog.dk

According to Apple, there are currently 380,000 registered iOS developers and over a billion iOS devices in use worldwide. Swift, the language of iOS development, is the fastest growing programming language. iOS Development with Swift is a hands-on guide to creating apps for iPhone and iPad using the Swift language. It starts by giving a birdseye view of how an iOS application works and what it takes to build one. With the basics well in hand, the book takes readers through progressively more challenging examples as they learn how to design iOS apps, build good layouts, handle navigation, and interact with the device’s camera. Key Features: · Hands-on guide to creating apps · Teaches the very basics · Rich in examples Written for readers with experience using a language like Java, Python, or C#. No prior iOS development or Swift experience required. About the Technology: Swift is a modern language created by Apple. In 2015 Swift was rated the most loved programming language on Stack Overflow, and it is currently ranked 17 in the programming language rankings guide of January 2016.

DKK 398.00
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Swift in Depth - Tjeerd In `t Veen - Bog - Manning Publications - Plusbog.dk

Swift in Depth - Tjeerd In `t Veen - Bog - Manning Publications - Plusbog.dk

Description Swift is more than just a fun language to build iOS applications with. It features a host of powerful tools that, if you know how to effectively use them, can help create even better apps with clean, crystal-clear code and awesome features. Swift in Depth builds on the reader’s core Swift language skills, introducing them to powerful techniques like using higher-order functions, generics, efficient error handling, and protocol-oriented programming. Key features · Adding advanced Swift features to code · Writing reusable code with generics · Iterators, sequences, and collections Audience Readers should have some prior experience with the basics of Swift. About the technology Apple''s Swift is the standard language for iOS and Mac development. It''s is a modern marvel—easy to pick up, comfortable to use, and loaded with features. Tjeerd in ''t Veen is a senior software engineer and architect who builds iOS apps. Having worked together with many developers, he currently helps creating clean, scalable architectures in the mobile division of a large international banking firm.

DKK 398.00
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Agile Metrics in Action: How to Measure and Improve Team Performance - Christopher W. H. Davies - Bog - Manning Publications - Plusbog.dk

Agile Metrics in Action: How to Measure and Improve Team Performance - Christopher W. H. Davies - Bog - Manning Publications - Plusbog.dk

Summary Agile Metrics in Action is a rich resource for agile teams that aim to use metrics to objectively measure performance. You''ll learn how to gather data that really counts, along with how to effectively analyze and act upon the results. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Book The iterative nature of agile development is perfect for experience-based, continuous improvement. Tracking systems, test and build tools, source control, continuous integration, and other built-in parts of a project lifecycle throw off a wealth of data you can use to improve your products, processes, and teams. The question is, how to do it? Agile Metrics in Action teaches you how. This practical book is a rich resource for an agile team that aims to use metrics to objectively measure performance. You''ll learn how to gather the data that really count, along with how to effectively analyze and act upon the results. Along the way, you''ll discover techniques all team members can use for better individual accountability and team performance. Practices in this book will work with any development process or tool stack. For code-based examples, this book uses Groovy, Grails, and MongoDB. What''s Inside - Use the data you generate every day from CI and Scrum - Improve communication, productivity, transparency, and morale - Objectively measure performance - Make metrics a natural byproduct of your development process About the Author Christopher Davis has been a software engineer and team leader for over 15 years. He has led numerous teams to successful delivery using agile methodologies. Table of Contents 1) PART 1 MEASURING AGILE TEAMS 1) Measuring agile performance 1) Observing a live project 1) PART 2 COLLECTING AND ANALYZING YOUR TEAM''S DATA 1) Trends and data from project-tracking systems 1) Trends and data from source control 1) Trends and data from CI and deployment servers 1) Data from your production systems 1) PART 3 APPLYING METRICS TO YOUR TEAMS, PROCESSES, AND SOFTWARE 1) Working with the data you''re collecting: the sum of the parts 1) Measuring the technical quality of your software 1) Publishing metrics 1) Measuring your team against the agile principles

DKK 354.00
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React Native in Action_p1 - Nader Dabit - Bog - Manning Publications - Plusbog.dk

React Native in Action_p1 - Nader Dabit - Bog - Manning Publications - Plusbog.dk

Description Using React Native, developers can build performant cross-platform native apps much easier than ever before, all with a single programming language: JavaScript. React Native in Action gives iOS, Android, and web developers the knowledge and confidence to begin building high quality iOS and Android apps using the React Native framework. By the end, readers will know how to build high quality, cross-platform mobile apps with React Native. Key features · Install and run React Native · Implement React Native components and APIs · Request and send data over the network · Store and retrieve data locally · Test React Native code Audience This book is for beginner to intermediate web, JavaScript, or iOS (Swift/Objective C) developers.

DKK 406.00
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Deep Learning with JAX - Grigory Sapunov - Bog - Manning Publications - Plusbog.dk

Deep Learning with JAX - Grigory Sapunov - Bog - Manning Publications - Plusbog.dk

Accelerate deep learning and other number-intensive tasks with JAX, Google’s awesome high-performance numerical computing library. In Deep Learning with JAX you will learn how to: - - Use JAX for numerical calculations - - Build differentiable models with JAX primitives - - Run distributed and parallelized computations with JAX - - Use high-level neural network libraries such as Flax and Haiku - - Leverage libraries and modules from the JAX ecosystem - The JAX numerical computing library tackles the core performance challenges at the heart of deep learning and other scientific computing tasks. By combining Google’s Accelerated Linear Algebra platform (XLA) with a hyper-optimized version of NumPy and a variety of other high-performance features, JAX delivers a huge performance boost in low-level computations and transformations. Deep Learning with JAX is a hands-on guide to using JAX for deep learning and other mathematically-intensive applications. Google Developer Expert Grigory Sapunov steadily builds your understanding of JAX’s concepts. The engaging examples introduce the fundamental concepts on which JAX relies and then show you how to apply them to real-world tasks. You’ll learn how to use JAX’s ecosystem of high-level libraries and modules, and also how to combine TensorFlow and PyTorch with JAX for data loading and deployment.

DKK 582.00
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C# Concurrency - Nir Dobovizki - Bog - Manning Publications - Plusbog.dk

C# Concurrency - Nir Dobovizki - Bog - Manning Publications - Plusbog.dk

Supercharge your applications with the ultimate guide to asynchronous and multithreaded programming in C#! In C# Concurrency: Asynchronous and Multithreaded Programming you''ll learn how to: - - Take full advantage of async/await - - Write bug-free multithreaded code every time - - Create multithreaded code that delivers real performance improvements - - Grok C# and .NET multithreading and asynchronous primitives - - Know when to use concurrency techniques—and when not to use them! - C# Concurrency: Asynchronous and Multithreaded Programming teaches you to harness the power of multithreading and async/await to get maximum speed from your code. Nir Dobovizki, a seasoned C# veteran with over 30 years of high-performance programming experience, is here to share his deep knowledge and expert techniques with you. Say goodbye to frustrating pitfalls and impossible-to-find bugs that slow down your applications. Nir''s careful approach will teach you how to navigate these challenges with ease, allowing you to achieve lightning-fast performance like never before! About the technology: Concurrency is a developers'' secret weapon for maximizing an application''s performance. Using asynchronous and multithreaded programming techniques, you can seamlessly execute multiple tasks simultaneously, without sacrificing speed or quality. However, concurrency is notoriously challenging to implement correctly due to the potential for race conditions, deadlocks, and other synchronization issues, and even an experienced developer can make mistakes that undermine their code''s speed and introduce bugs that take forever to find.

DKK 511.00
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Experimentation for Engineers - David Sweet - Bog - Manning Publications - Plusbog.dk

Experimentation for Engineers - David Sweet - Bog - Manning Publications - Plusbog.dk

Optimise the performance of your systems with practical experiments used by engineers in the world''s most competitive industries. Experimentation for Engineers: From A/B testing to Bayesian optimization is a toolbox of techniques for evaluating new features and fine-tuning parameters. You will start with a deep dive into methods like A/B testing and then graduate to advanced techniques used to measure performance in industries such as finance and social media. You will learn how to: - - Design, run, and analyse an A/B test - - Break the "feedback loops" caused by periodic retraining of ML models - - Increase experimentation rate with multi-armed bandits - - Tune multiple parameters experimentally with Bayesian optimisation - - Clearly define business metrics used for decision-making - - Identify and avoid the common pitfalls of experimentation - By the time you''re done, you will be able to seamlessly deploy experiments in production, whilst avoiding common pitfalls. About the technology Does my software really work? Did my changes make things better or worse? Should I trade features for performance? Experimentation is the only way to answer questions like these. This unique book reveals sophisticated experimentation practices developed and proven in the world''s most competitive industries and will help you enhance machine learning systems, software applications, and quantitative trading solutions.

DKK 459.00
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Grokking Concurrency - Kirill Bobrov - Bog - Manning Publications - Plusbog.dk

Grokking Concurrency - Kirill Bobrov - Bog - Manning Publications - Plusbog.dk

This easy-to-read, hands-on guide demystifies concurrency concepts like threading, asynchronous programming, and parallel processing in any language. For readers who know the basics of programming. Grokking Concurrency is the ultimate guide to effective concurrency practices that will help you leverage multiple cores, excel with high loads, handle terabytes of data, and continue working after hardware and software failures. The core concepts in this guide will remain eternally relevant, whether you are building web apps, IoT systems, or handling big data. Specifically, you will: - - Get up to speed with the core concepts of concurrency, asynchrony, and parallel programming - - Learn the strengths and weaknesses of different hardware architectures - - Improve the sequential performance characteristics of your software - - Solve common problems for concurrent programming - - Compose patterns into a series of practices for writing scalable systems - - Write and implement concurrency systems that scale to any size - Grokking Concurrency demystifies writing high-performance concurrent code through clear explanations of core concepts, interesting illustrations, insightful examples, and detailed techniques you can apply to your own projects. About the technology Microservices, big data, real-time systems, and other performance-intensive applications can all slow your systems to a crawl. You know the solution is “concurrency.” Now what? How do you choose among concurrency approaches? How can you be sure you will actually reduce latency and complete your jobs faster? This entertaining, fully illustrated guide answers all of your concurrency questions so you can start taking full advantage of modern multicore processors.

DKK 397.00
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HTTP/2 in Action - Barry Pollard - Bog - Manning Publications - Plusbog.dk

HTTP/2 in Action - Barry Pollard - Bog - Manning Publications - Plusbog.dk

HTTP/2 introduces request multiplexing and request prioritization, which allows the web to handle the ever-increasing traffic that makes up modern websites. HTTP/2 in Action is a complete guide to HTTP/2, one of the core protocols of the web. Concentrating practical matters, this interesting book presents key HTTP/2 concepts such as frames, streams, and multiplexing and explores how they affect the performance and behaviour of your web sites. Key Features · Upgrading to HTTP/2 · Frames, streams, and multiplexing · Implementing server push Audience Written for developers or website administrators with a basic understanding of web development. Some chapters use JavaScriptbased examples but the techniques should apply to any HTTP/2 implementation. Author Bio Barry Pollard is a professional software developer with nearly two decades of industry experience developing and supporting software and infrastructure. He has a keen interest in web technologies, performance tuning, security, and the practical usage of technology.

DKK 382.00
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Learn Concurrent Programming with Go - James Cutajar - Bog - Manning Publications - Plusbog.dk

Learn Concurrent Programming with Go - James Cutajar - Bog - Manning Publications - Plusbog.dk

Write concurrent code in Go that improves application performance, scales up to handle bigger loads, and takes full advantage of modern multi-processor hardware. Suitable for programmers who already know the basics of Go or another C-style language. No experience in concurrent programming required. In Learn Concurrent Programming with Go you will learn how to: - - Implement effective concurrency for more responsive, higher performing, scalable software - - Avoid common concurrency problems such as deadlocks and race conditions - - Manage concurrency using goroutines, mutexes, readers-writer locks, and more - - Identify concurrency patterns such as pipelining, worker pools, and message passing - - Discover advantages, limits and properties of parallel computing - - Improve your Go coding skills with advanced multithreading - About the technology Concurrent programming is essential for getting the most out of modern multi-processor computer hardware. It allows multiple tasks to execute and interact simultaneously, speeding up performance and reducing user wait time. Thanks to its baked-in concurrency models, Google''s Go is one of the best languages you can use to learn and apply concurrent programming to your systems.

DKK 450.00
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Fast Python for Data Science - Tiago Antao - Bog - Manning Publications - Plusbog.dk

Fast Python for Data Science - Tiago Antao - Bog - Manning Publications - Plusbog.dk

Fast Python for Data Science is a hands-on guide to writing Python code that can process more data, faster, and with less resources. It takes a holistic approach to Python performance, showing you how your code, libraries, and computing architecture interact and can be optimized together. Written for experienced practitioners, Fast Python for Data Science dives right into practical solutions for improving computation and storage efficiency. You''ll experiment with fun and interesting examples such as rewriting games in lower-level Cython and implementing a MapReduce framework from scratch. Finally, you''ll go deep into Python GPU computing and learn how modern hardware has rehabilitated some former antipatterns and made counterintuitive ideas the most efficient way of working. About the technology Fast, accurate systems are vital for handling the huge datasets and complex analytical algorithms that are common in modern data science. Python programmers need to boost performance by writing faster pure-Python programs, optimizing the use of libraries, and utilizing modern multi-processor hardware; Fast Python for Data Science shows you how.

DKK 524.00
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Classic Computer Science Problems in Python - David Kopec - Bog - Manning Publications - Plusbog.dk

Classic Computer Science Problems in Python - David Kopec - Bog - Manning Publications - Plusbog.dk

Classic Computer Science Problems in Python presents dozens of coding challenges, ranging from simple tasks like finding items in a list with a binary sort algorithm to clustering data using k-means. Classic Computer Science Problems in Python deepens your Python language skills by challenging you with time-tested scenarios, exercises, and algorithms. As you work through examples in search, clustering, graphs, and more, you''ll remember important things you''ve forgotten and discover classic solutions to your "new" problems Key Features · Breadth-first and depth-first search algorithms · Constraints satisfaction problems · Common techniques for graphs · Adversarial Search · Neural networks and genetic algorithms · Written for data engineers and scientists with experience using Python. For readers comfortable with the basics of Python About the technology Python is used everywhere for web applications, data munging, and powerful machine learning applications. Even problems that seem new or unique stand on the shoulders of classic algorithms, coding techniques, and engineering principles. Master these core skills, and you’ll be ready to use Python for AI, data-centric programming, deep learning, and the other challenges you’ll face as you grow your skill as a programmer. David Kopec teaches at Champlain College in Burlington, VT and is the author of Manning’s Classic Computer Science Problemsin Swift.

DKK 300.00
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Practices of the Python Pro - Dane Hillard - Bog - Manning Publications - Plusbog.dk

Practices of the Python Pro - Dane Hillard - Bog - Manning Publications - Plusbog.dk

Practices of the Python Pro teaches you to design and write software that’s easy to understand, maintain, and scale. Using practical Python-based examples, experienced developer Dane Hillard introduces design concepts that lay the foundation for designing, building, and maintaining software that‘s good for the long haul. You’ll learn established guidelines for clean coding style and explore techniques to address design considerations like speed, integrity, security, and extensibility.   Organizing large Python projects Leveraging abstraction for clean code Writing flexible, reusable code Inheritance and composition Considerations for testing and performance

DKK 406.00
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Julia as a Second Language - Erik Engheim - Bog - Manning Publications - Plusbog.dk

Julia as a Second Language - Erik Engheim - Bog - Manning Publications - Plusbog.dk

Learn Julia programming by building fun projects, like launching rockets, building password keepers, and even coding battle simulations. Julia as a Second Language covers: - - How Julia implements data types such as numbers, strings, arrays, and dictionaries - - Solving problems with both object-oriented and functional programming - - Getting immediate feedback with Julia''s read-evaluate-print-loop (REPL) - - Taking advantage of Julia''s powerful multiple dispatch system - - Sharing code using modules and packages - Julia as a Second Language introduces Julia to readers with a beginning-level knowledge of another language like Python or JavaScript. It skips programming basics and dives straight into Julia''s unique features. You''ll learn by coding engaging hands-on projects that encourage you to apply what you are learning immediately. About the technology Julia is a powerful high-performance programming language with many developer-friendly features like garbage collection, dynamic typing, just-in-time compilation, and a flexible approach to concurrent, parallel, and distributed computing. Although Julia''s strong numerical programming features make it a favorite of data scientists, it is also an awesome general purpose programming language. Julia''s users call it the "goldilocks language", with a "just right" balance of performance and productivity. About the reader Readers need basic skills with another programming language like Python, JavaScript, or C#.

DKK 459.00
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Managing Machine Learning Projects - Simon Thompson - Bog - Manning Publications - Plusbog.dk

Managing Machine Learning Projects - Simon Thompson - Bog - Manning Publications - Plusbog.dk

The go-to guide in machine learning projects from design to production. No ML skills required! In Managing Machine Learning Projects, you will learn essential machine learning project management techniques, including: - - Understanding an ML project''s requirements - - Setting up the infrastructure for the project and resourcing a team - - Working with clients and other stakeholders - - Dealing with data resources and bringing them into the project for use - - Handling the lifecycle of models in the project - - Managing the application of ML algorithms - - Evaluating the performance of algorithms and models - - Making decisions about which models to adopt for delivery - - Taking models through development and testing - - Integrating models with production systems to create effective applications - - Steps and behaviours for managing the ethical implications of ML technology - About the technology Companies of all shapes, sizes, and industries are investing in machine learning (ML). Unfortunately, around 85% of all ML projects fail. Managing machine learning projects requires adopting a different approach than you would take with standard software projects. You need to account for large and diverse data resources, evaluate and track multiple separate models, and handle the unforeseeable risk of poor performance. Never fear — this book lays out the unique practices you will need to ensure your projects succeed!

DKK 459.00
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Silverlight 5 in Action - Pete Brown - Bog - Manning Publications - Plusbog.dk

Silverlight 5 in Action - Pete Brown - Bog - Manning Publications - Plusbog.dk

DESCRIPTION Microsoft''s Silverlight is the only development platform that combines the performance, security, and flexibility of a desktop application with cross-platform deployment. The latest version, Silverlight 5, offers tons of new features including improved video, audio, and text rendering, enhanced MVVM support, XNA-based 3D and sound APIs, and under-the-hood performance upgrades. Silverlight 5 in Action is a thorough revision of the bestselling Silverlight 4 in Action . This comprehensive guide teaches Silverlight from the ground up, covering all the new v. 5 features in depth. It also explores WCF RIA Services, MVVM, and more, with dozens of code samples that can be used in Visual Studio 2010 or the free Visual Web Developer 2010 Express. RETAIL SELLING POINTS Countless tips and techniques Teaches Silverlight from the ground up Invaluable reference for experienced developers AUDIENCE This book is for .NET developers both new to and familiar with Silverlight. ABOUT THE TECHNOLOGY Silverlight is a cross-platform, cross-browser plug-in and a set of Windows-based developer tools for building RIAs. It runs on Windows, Mac, and Linux and is the primary development platform for Windows iPhone 7. Short of ASP.NET, Silverlight is the broadest reaching technology ever produced by Microsoft.

DKK 476.00
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Learn Haskell by Example - Philipp Hagenlocher - Bog - Manning Publications - Plusbog.dk

Learn Haskell by Example - Philipp Hagenlocher - Bog - Manning Publications - Plusbog.dk

Learn Haskell by doing Haskell projects! For readers who know how to program in an object-orientated language. Haskell Bookcamp will offer you practical experience writing Haskell code and applying functional programming to actual development challenges. You will build your Haskell skills by working through hands-on challenges and conundrums. You will learn to look at each project through a Haskell lens and then solve it using features like lazy evaluation, immutable data structures, and monads. And the projects are interesting! You will take on writing a tool for working with CSV files, creating a domain-specific language for music, an image processing library using concurrency for high performance, and more! Key features include: - - Use Haskell for daily programming tasks - - Effectively apply functional concepts - - Avoid common beginner pitfalls of Haskell - - Apply abstract concepts in the Haskell language - - Debug and profile Haskell applications - - Improve the performance of Haskell applications - About the technology Haskell delivers clean and safe code with mathematical precision and certainty. The pure functional coding language lets you use high-level abstractions to keep your code clean and easily readable, actively disallowing many dangerous behaviours that lead to bugs and crashes. These features make Haskell an amazing choice for applications that need an extra guarantee of safety, such as smart contracts, data-intensive applications, and large-scale distributed systems.

DKK 450.00
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Mastering Large Datasets - John T. Wolohan - Bog - Manning Publications - Plusbog.dk

Mastering Large Datasets - John T. Wolohan - Bog - Manning Publications - Plusbog.dk

With an emphasis on clarity, style, and performance, author J.T. Wolohan expertly guides you through implementing a functionally-influenced approach to Python coding. You’ll get familiar with Python’s functional built-ins like the functools operator and itertools modules, as well as the toolz library. Mastering Large Datasets teaches you to write easily readable, easily scalable Python code that can efficiently process large volumes of structured and unstructured data. By the end of this comprehensive guide, you’ll have a solid grasp on the tools and methods that will take your code beyond the laptop and your data science career to the next level!Key features• An introduction to functional and parallel programming • Data science workflow • Profiling code for better performance • Fulfilling different quality objectives for a single unifying task • Python multiprocessing • Practical exercises including full-scale distributed applicationsAudienceReaders should have intermediate Python programming skills. About the technologyPython is a data scientist’s dream-come-true, thanks to readily available libraries that support tasks like data analysis, machine learning, visualization, and numerical computing. J.T. Wolohan is a lead data scientist at Booz Allen Hamilton and a PhD researcher at Indiana University, Bloomington, affiliated with the Department of Information and Library Science and the School of Informatics and Computing. His professional work focuses on rapid prototyping and scalable AI. His research focuses on computational analysis of social uses of language online.

DKK 406.00
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Python Concurrency with asyncio - Matthew Fowler - Bog - Manning Publications - Plusbog.dk

Python Concurrency with asyncio - Matthew Fowler - Bog - Manning Publications - Plusbog.dk

"This is one of the best technical books I''ve ever read. The writing is so good, and it covers an incredible amount of knowledge. Hands down, this is the best reference material on using asyncio anywhere." - Kent R. Spillner Learn how to speed up slow Python code with concurrent programming and the cutting-edge asyncio library. Python is flexible, versatile, and easy to learn. It can also be very slow compared to lower-level languages. Python Concurrency with asyncio teaches you how to boost Python''s performance by applying a variety of concurrency techniques. You''ll learn how the complex-but-powerful asyncio library can achieve concurrency with just a single thread and use asyncio''s APIs to run multiple web requests and database queries simultaneously. The book covers using asyncio with the entire Python concurrency landscape, including multiprocessing and multithreading. about the technology The time demands of running code synchronously quickly overload standard Python and slow your programs to a crawl. Python''s Asynchronous I/O library asyncio was built to solve these performance problems by making it easy to divide and schedule computational tasks so they can be run independently. asyncio concurrently handles multiple operations without a drop in throughput or responsiveness, making your apps lightning fast and easier to scale. about the book Python Concurrency with asyncio teaches you to write concurrent Python code that will boost the speed of your apps and APIs. The book demystifies asynchio''s unique single-threaded concurrency model, giving you a behind-the-scenes understanding of the library and its new async/await syntax. Hard-to-grok concurrency topics are broken down into simple flowcharts so you can easily see how your coroutines and tasks are running. You''ll learn to apply asyncio to solve common performance problems, such as batch database jobs, slow web servers, and scaling microservices. All examples you''ll build are designed to be usable in the real world, including a clever command line SQL client that can run multiple slow queries at the same time. By the time you''re done, you''ll even be able to combine asyncio with traditional multiprocessing and multithreading techniques for huge improvements to performance. what''s inside Use coroutines and tasks alongside async/await syntax to run code concurrentlyBuild web APIs and make concurrency web requests with aiohttpRun thousands of SQL queries concurrentlyCreate a map-reduce job that can process gigabytes of data concurrentlyUse threading with asyncio to mix blocking code with asyncio code about the reader For intermediate Python programmers. No previous experience of concurrency required. about the author Matthew Fowler has over 15 years of software engineering experience in roles from architect to engineering director. He has worked on Python codebases in the machine learning space, as well as led development of a Python-based ecommerce site with tens of millions of users.

DKK 455.00
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Classic Computer Science Problems in Java - David Kopec - Bog - Manning Publications - Plusbog.dk

Classic Computer Science Problems in Java - David Kopec - Bog - Manning Publications - Plusbog.dk

Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. You’ll work through a series of exercises based in computer science fundamentals that are designed to improve your software development abilities, improve your understanding of artificial intelligence, and even prepare you to ace an interview. Classic Computer Science Problems in Java will teach you techniques to solve common-but-tricky programming issues. You’ll explore foundational coding methods, fundamental algorithms, and artificial intelligence topics, all through code-centric Java tutorials and computer science exercises. As you work through examples in search, clustering, graphs, and more, you''ll remember important things you''ve forgotten and discover classic solutions to your "new" problems! Key Features · Recursion, memorization, bit manipulation · Search algorithms · Constraint-satisfaction problems · Graph algorithms · K-means clustering For intermediate Java programmers. About the technology In any computer science classroom you’ll find a set of tried-and-true algorithms, techniques, and coding exercises. These techniques have stood the test of time as some of the best ways to solve problems when writing code, and expanding your Java skill set with these classic computer science methods will make you a better Java programmer. David Kopec is an assistant professor of computer science and innovation at Champlain College in Burlington, Vermont. He is the author of Dart for Absolute Beginners (Apress, 2014), Classic Computer Science Problems in Swift (Manning, 2018), and Classic Computer Science Problems in Python (Manning, 2019).

DKK 450.00
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Think Like a Software Engineering Manager - Akanksha Gupta - Bog - Manning Publications - Plusbog.dk

Think Like a Software Engineering Manager - Akanksha Gupta - Bog - Manning Publications - Plusbog.dk

Unlock your full potential as an effective, efficient, and inspiring leader, and be the software engineering manager that your team deserves! Think Like a Software Engineering Manager is full of all the skills you''ll need to thrive in software leadership, including: - - People and performance management - - Empathy and feedback - - Delegation and learning to let go - - Hiring amazing engineers and handling attrition - - Collaborating with cross-functional partners - - Managing expectations at all levels - - Implementing DevOps - - Time and change management - About the technology A superb software engineering manager needs to wear many hats: amazing communicator, effective decision maker, thoughtful mentor, and, of course, technical expert. This book helps you build your strengths and shore up your weaknesses so you can lead a productive team that consistently delivers quality software.

DKK 465.00
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Blazor in Action - Chris Sainty - Bog - Manning Publications - Plusbog.dk

Blazor in Action - Chris Sainty - Bog - Manning Publications - Plusbog.dk

Blazor in Action is a practical guide to building stunning UIs and client-side applications using C# and .NET. Written to the most recent stable build of Blazor, this example-driven book shows how to build a complete end-to-end hiking route web application that''s full of easily reusable code. You''ll create your own custom Blazor components, including handy UI elements like form controls, and learn how to implement access controls and other important security features. Finally, you''ll learn how you can use Blazor components inside your existing ASP.NET applications, and get essential tips and tricks on tuning your app''s performance. By the time you''re done, you''ll be ready to develop beautiful sites and apps that seamlessly execute your C# code natively in the browser.

DKK 450.00
1