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

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