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 Practical Node.js: Building Real-World Scalable Web Apps
Learn how to build a wide range of scalable real-world web applications using a professional development toolkit. If you already know the basics of Node.js, now is the time to discover how to bring it to production level by leveraging its vast ecosystem of packages.With this book, you'll work with a varied collection of standards... |  |  Pro .NET Memory Management: For Better Code, Performance, and Scalability
Understand .NET memory management internal workings, pitfalls, and techniques in order to effectively avoid a wide range of performance and scalability problems in your software. Despite automatic memory management in .NET, there are many advantages to be found in understanding how .NET memory works and how you can best write ... |  |  Design Patterns in C#: A Hands-on Guide with Real-World Examples
Get hands-on experience with each Gang of Four design pattern using C#. For each of the patterns, you’ll see at least one real-world scenario, a coding example, and a complete implementation including output.
In the first part of Design Patterns in C#, you will cover the 23 Gang of Four (GoF) design ... |
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 Swift 4 Recipes: Hundreds of Useful Hand-picked Code Snippets
Get the most out of Swift 4 with this carefully compiled collection of select code snippets designed to solve everyday coding problems. This book features the Apress easy-to-use recipe format, with step-by-step instructions, and a no-fuss approach.
You'll explore a wide range of topics, all neatly organized according to... |  |  Solving Problems in Scientific Computing Using Maple and Matlab®
Modern computing tools like MAPLE (a symbolic computation package)
and MATLAB® ( a numeric and symbolic computation and visualization
program) make it possible to use the techniques of scientific
computing to solve realistic nontrivial problems in a classroom
setting. These problems have been traditionally ... |  |  Reproducible Research with R and R Studio (Chapman & Hall/CRC The R Series)
Bringing together computational research tools in one accessible source, Reproducible Research with R and RStudio guides you in creating dynamic and highly reproducible research. Suitable for researchers in any quantitative empirical discipline, it presents practical tools for data collection, data analysis, and the... |
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