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Advanced Python Programming 1st edition by Sakis Kasampalis, Quan Nguyen, Gabriele Lanaro ISBN 1838553692 9781838553692

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ISBN 10: 1838553692
ISBN 13: 9781838553692
Author: Sakis Kasampalis, Quan Nguyen, Gabriele Lanaro

Create distributed applications with clever design patterns to solve complex problems Key Features Set up and run distributed algorithms on a cluster using Dask and PySpark Master skills to accurately implement concurrency in your code Gain practical experience of Python design patterns with real-world examples Book Description 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 What you will learn Use NumPy and pandas to import and manipulate datasets Achieve native performance with Cython and Numba Write asynchronous code using asyncio and RxPy Design highly scalable programs with application scaffolding Explore abstract methods to maintain data consistency Clone objects using the prototype pattern Use the adapter pattern to make incompatible interfaces compatible Employ the strategy pattern to dynamically choose an algorithm Who this book is for This Learning Path is specially designed for Python developers who want to build high-performance applications and learn about single core and multi-core programming, distributed concurrency, and Python design patterns. Some experience with Python programming language will help you get the most out of this Learning Path.

Advanced Python Programming 1st Table of contents:

  1. Implementation
  2. Summary
  3. Appendix
  4. Chapter 8
  5. Chapter 9
  6. Chapter 10
  7. Chapter 11
  8. Chapter 12
  9. Chapter 13
  10. Chapter 14
  11. Chapter 15
  12. Chapter 16
  13. Chapter 17
  14. Chapter 18
  15. Chapter 19
  16. Chapter 20
  17. Chapter 21
  18. Chapter 22
  19. Other Books You May Enjoy
  20. Leave a Review – Let Other Readers Know What You Think

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Tags: Sakis Kasampalis, Quan Nguyen, Gabriele Lanaro, Advanced Python