Category: Parallel Programming
eBook Details: Paperback: 356 pages Publisher: WOW! eBook; 1st edition (October 22, 2019) Language: English ISBN-10: 1680502263 ISBN-13: 978-1680502268 eBook Description: Programming Phoenix 1.4: Productive |> Reliable |> Fast Don’t accept the compromise between fast and beautiful: you can have it all. Phoenix creator Chris McCord, Elixir creator Jose Valim, and award-winning author Bruce Tate walk you through building an application that’s fast and reliable. At every step, you’ll learn from the Phoenix creators not just what to do, but why....
eBook Details: Paperback: 330 pages Publisher: WOW! eBook; 1st edition (April 28, 2020) Language: English ISBN-10: 1492056634 ISBN-13: 978-1492056638 eBook Description: Distributed Tracing in Practice: Instrumenting, Analyzing, and Debugging Microservices Since most applications today are distributed in some fashion, monitoring their health and performance requires a new approach. Enter distributed tracing, a method of profiling and monitoring distributed applications – particularly those that use microservice architectures. There’s just one problem: distributed tracing can be hard. But it doesn’t have to be. You’ll learn: The...
eBook Details: Paperback: 406 pages Publisher: WOW! eBook (March 24, 2020) Language: English ISBN-10: 1789805783 ISBN-13: 978-1789805789 eBook Description: Hands-On High Performance with Go: Proven methodologies and concurrency techniques that will help you write faster and better code with Go programming Go is an easy-to-write language that is popular among developers thanks to its features such as concurrency, portability, and ability to reduce complexity. This Golang book will teach you how to construct idiomatic Go code that is reusable and highly performant. Starting with...
eBook Details: Paperback: 500 pages Publisher: WOW! eBook; 1st edition (June 9, 2020) Language: English ISBN-10: 1617295280 ISBN-13: 978-1617295287 eBook Description: Modern Fortran: Building Efficient Parallel Applications Using Fortran, early and accurate forecasts for hurricanes and other major storms have saved thousands of lives. Using Fortran, better designs for ships, planes, and automobiles have made travel safer, more efficient, and less expensive than ever before. Using Fortran, low-level machine learning and deep learning libraries provide incredibly easy, fast, and insightful analysis of massive data...
eBook Details: Paperback: 350 pages Publisher: WOW! eBook; 1st edition (January 21, 2020) Language: English ISBN-10: 1617296236 ISBN-13: 978-1617296239 eBook Description: Mastering Large Datasets with Python: Parallelize and Distribute Your Python Code Modern data science solutions need to be clean, easy to read, and scalable. In Mastering Large Datasets with Python, author J.T. Wolohan teaches you how to take a small project and scale it up using a functionally influenced approach to Python coding. You’ll explore methods and built-in Python tools that lend themselves...
