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Advanced Python Programming. Build high performance, concurrent, and multi-threaded apps with Python using proven design patterns

(ebook) (audiobook) (audiobook) Książka w języku angielskim
Advanced Python Programming. Build high performance, concurrent, and multi-threaded apps with Python using proven design patterns Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis - okladka książki

Advanced Python Programming. Build high performance, concurrent, and multi-threaded apps with Python using proven design patterns Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis - okladka książki

Advanced Python Programming. Build high performance, concurrent, and multi-threaded apps with Python using proven design patterns Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis - audiobook MP3

Advanced Python Programming. Build high performance, concurrent, and multi-threaded apps with Python using proven design patterns Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis - audiobook CD

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This Learning Path shows you how to leverage the power of both native and third-party Python libraries for building robust and responsive applications. You will learn about profilers and reactive programming, concurrency and parallelism, as well as tools for making your apps quick and efficient. You will discover how to write code for parallel architectures using TensorFlow and Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark. With the knowledge of how Python design patterns work, you will be able to clone objects, secure interfaces, dynamically choose algorithms, and accomplish much more in high performance computing.

By the end of this Learning Path, you will have the skills and confidence to build engaging models that quickly offer efficient solutions to your problems.

This Learning Path includes content from the following Packt products:
• Python High Performance - Second Edition by Gabriele Lanaro
• Mastering Concurrency in Python by Quan Nguyen
• Mastering Python Design Patterns by Sakis Kasampalis

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O autorach książki

Dr. Gabriele Lanaro is passionate about good software and is the author of the chemlab and chemview open source packages. His interests span machine learning, numerical computing visualization, and web technologies. In 2013, he authored the first edition of the book High Performance Python Programming. He has been conducting research to study the formation and growth of crystals using medium and large-scale computer simulations. In 2017, he obtained his PhD in theoretical chemistry.
Quan Nguyen is a Python programmer and machine learning enthusiast. He is interested in solving decision-making problems under uncertainty. Quan has authored several books on Python programming and scientific computing. He is currently pursuing a Ph.D. degree in computer science at Washington University in St. Louis, researching Bayesian methods in machine learning.
Sakis Kasampalis is a software engineer living in the Netherlands. He is not dogmatic about particular programming languages and tools; his principle is that the right tool should be used for the right job. One of his favorite tools is Python because he finds it very productive. Sakis was also the technical reviewer of Mastering Object-oriented Python and Learning Python Design Patterns, published by Packt Publishing.

Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis - pozostałe książki

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