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Advanced Python Programming
Advanced Python Programming

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

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Profile Icon Dr. Gabriele Lanaro Profile Icon Quan Nguyen Profile Icon Sakis Kasampalis
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$19.99 per month
Book Feb 2019 pages 1st Edition
Arrow left icon
Profile Icon Dr. Gabriele Lanaro Profile Icon Quan Nguyen Profile Icon Sakis Kasampalis
Arrow right icon
$19.99 per month
Book Feb 2019 pages 1st Edition

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Key benefits

  • 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

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

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Feb 28, 2019
Length pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781838551216
Category :
Languages :

What do you get with a Packt Subscription?

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Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
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View plans & pricing

Product Details

Publication date : Feb 28, 2019
Length pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781838551216
Category :
Languages :

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Table of Contents

41 Chapters
Title Page Chevron down icon Chevron up icon
Copyright Chevron down icon Chevron up icon
About Packt Chevron down icon Chevron up icon
Contributors Chevron down icon Chevron up icon
Preface Chevron down icon Chevron up icon
Benchmarking and Profiling Chevron down icon Chevron up icon
Pure Python Optimizations Chevron down icon Chevron up icon
Fast Array Operations with NumPy and Pandas Chevron down icon Chevron up icon
C Performance with Cython Chevron down icon Chevron up icon
Exploring Compilers Chevron down icon Chevron up icon
Implementing Concurrency Chevron down icon Chevron up icon
Parallel Processing Chevron down icon Chevron up icon
Advanced Introduction to Concurrent and Parallel Programming Chevron down icon Chevron up icon
Amdahl's Law Chevron down icon Chevron up icon
Working with Threads in Python Chevron down icon Chevron up icon
Using the with Statement in Threads Chevron down icon Chevron up icon
Concurrent Web Requests Chevron down icon Chevron up icon
Working with Processes in Python Chevron down icon Chevron up icon
Reduction Operators in Processes Chevron down icon Chevron up icon
Concurrent Image Processing Chevron down icon Chevron up icon
Introduction to Asynchronous Programming Chevron down icon Chevron up icon
Implementing Asynchronous Programming in Python Chevron down icon Chevron up icon
Building Communication Channels with asyncio Chevron down icon Chevron up icon
Deadlocks Chevron down icon Chevron up icon
Starvation Chevron down icon Chevron up icon
Race Conditions Chevron down icon Chevron up icon
The Global Interpreter Lock Chevron down icon Chevron up icon
The Factory Pattern Chevron down icon Chevron up icon
The Builder Pattern Chevron down icon Chevron up icon
Other Creational Patterns Chevron down icon Chevron up icon
The Adapter Pattern Chevron down icon Chevron up icon
The Decorator Pattern Chevron down icon Chevron up icon
The Bridge Pattern Chevron down icon Chevron up icon
The Facade Pattern Chevron down icon Chevron up icon
Other Structural Patterns Chevron down icon Chevron up icon
The Chain of Responsibility Pattern Chevron down icon Chevron up icon
The Command Pattern Chevron down icon Chevron up icon
The Observer Pattern Chevron down icon Chevron up icon
1. Appendix Chevron down icon Chevron up icon
2. Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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