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You are here: Home ▶ Limited-Time Offers ▶ Advanced Python Programming

Advanced Python Programming

September 14, 2020

Advanced Python Programming

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.

Similar Books:

  1. Parallel and Concurrent Programming in Haskell
  2. Concurrent Programming in Erlang 2nd Edition
  3. Parallel Programming with Microsoft Visual C++
  4. Advanced Linux Programming
  5. Programming on Parallel Machines
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