With Advanced Python Programming, 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. (Limited-time offer)
Book Description
- Benchmarking and Profiling
- Pure Python Optimizations
- Fast Array Operations with NumPy and Pandas
- C Performance with Cython
- Exploring Compilers
- Implementing Concurrency
- Parallel Processing
- Advanced Introduction to Concurrent and Parallel Programming
- Amdahl’s Law
- Working with Threads in Python
- Using the with Statement in Threads
- Concurrent Web Requests
- Working with Processes in Python
- Reduction Operators in Processes
- Concurrent Image Processing
- Introduction to Asynchronous Programming
- Implementing Asynchronous Programming in Python
- Building Communication Channels with asyncio
- Deadlocks
- Starvation
- Race Conditions
- The Global Interpreter Lock
- The Factory Pattern
- The Builder Pattern
- Other Creational Patterns
- The Adapter Pattern
- The Decorator Pattern
- The Bridge Pattern
- The Facade Pattern
- Other Structural Patterns
- The Chain of Responsibility Pattern
- The Command Pattern
- The Observer Pattern
Download Free PDF / Read Online
Author(s): Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis
Publisher: Packt Publishing
Published: February 2019
Format(s): Online
File size: –
Number of pages: 672
Download / View Link(s): This offer has ended.
Free as of 09/14/2020.
Publisher: Packt Publishing
Published: February 2019
Format(s): Online
File size: –
Number of pages: 672
Download / View Link(s): This offer has ended.
Free as of 09/14/2020.