E-book details

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

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

Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis

Ebook
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
  • 1. Benchmarking and Profiling
  • 2. Pure Python Optimizations
  • 3. Fast Array Operations with NumPy and Pandas
  • 4. C Performance with Cython
  • 5. Exploring Compilers
  • 6. Implementing Concurrency
  • 7. Parallel Processing
  • 8. Advanced Introduction to Concurrent and Parallel Programming
  • 9. Amdahl's Law
  • 10. Working with Threads in Python
  • 11. Using the with Statement in Threads
  • 12. Concurrent Web Requests
  • 13. Working with Processes in Python
  • 14. Reduction Operators in Processes
  • 15. Concurrent Image Processing
  • 16. Introduction to Asynchronous Programming
  • 17. Implementing Asynchronous Programming in Python
  • 18. Building Communication Channels with asyncio
  • 19. Deadlocks
  • 20. Starvation
  • 21. Race Conditions
  • 22. The Global Interpreter Lock
  • 23. The Factory Pattern
  • 24. The Builder Pattern
  • 25. Other Creational Patterns
  • 26. The Adapter Pattern
  • 27. The Decorator Pattern
  • 28. The Bridge Pattern
  • 29. The Facade Pattern
  • 30. Other Structural Patterns
  • 31. The Chain of Responsibility Pattern
  • 32. The Command Pattern
  • 33. The Observer Pattern
  • Title: Advanced Python Programming. Build high performance, concurrent, and multi-threaded apps with Python using proven design patterns
  • Author: Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis
  • Original title: Advanced Python Programming. Build high performance, concurrent, and multi-threaded apps with Python using proven design patterns
  • ISBN: 9781838551216, 9781838551216
  • Date of issue: 2019-02-28
  • Format: Ebook
  • Item ID: e_14qy
  • Publisher: Packt Publishing