Parallel processing

Enhance your applications' performance using best practices for benchmarking, application profiling, asynchronous programming, designing responsive UIs, gRPC communication, and distributed applications

Key Features

• Make the best use of performance enhancements in C# 10.

Create distributed applications with clever design patterns to solve complex problems

Key Features

• 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

Book 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.

Create distributed applications with clever design patterns to solve complex problems

Key Features

• 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

Book 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.