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Python High Performance : Build Robust Application by Implementing Concurrent and Distributed Processing Techniques by Gabriele Lanaro is a nonfiction available to read on EtoBox.

What is Python High Performance : Build Robust Application by Implementing Concurrent and Distributed Processing Techniques about?

Cover -- Copyright -- Credits -- About the Author -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Benchmarking and Profiling -- Designing your application -- Writing tests and benchmarks -- Timing your benchmark -- Better tests and benchmarks with pytest-benchmark -- Finding bottlenecks with cProfile -- Profile line by line with line_profiler -- Optimizing our code -- The dis module -- Profiling memory usage with memory_profiler -- Summary -- Chapter 2: Pure Python Optimizations -- Useful algorithms and data structures -- Lists and deques -- Dictionaries -- Building an in-memory search index using a hash map -- Sets -- Heaps -- Tries -- Caching and memoization -- Joblib -- Comprehensions and generators -- Summary -- Chapter 3: Fast Array Operations with NumPy and Pandas -- Getting started with NumPy -- Creating arrays -- Accessing arrays -- Broadcasting -- Mathematical operations -- Calculating the norm -- Rewriting the particle simulator in NumPy -- Reaching optimal performance with numexpr -- Pandas -- Pandas fundamentals -- Indexing Series and DataFrame objects -- Database-style operations with Pandas -- Mapping -- Gr

Who reads Python High Performance : Build Robust Application by Implementing Concurrent and Distributed Processing Techniques?

Author

Gabriele Lanaro

Publisher

Packt Publishing Limited

Published

2017

Language

EN

ISBN

9781787282438

Category

nonfiction

Subjects

Language Learning, Computer Science, Programming