Python High Performance, 2/e (Paperback)

Python High Performance, 2/e (Paperback)

作者: Gabriele Lanaro
出版社: Packt Publishing
出版在: 2017-05-26
ISBN-13: 9781787282896
ISBN-10: 1787282899
裝訂格式: Paperback
總頁數: 270 頁





內容描述


Key Features

Identify the bottlenecks in your applications and solve them using the best profiling techniques
Write efficient numerical code in NumPy, Cython, and Pandas
Adapt your programs to run on multiple processors and machines with parallel programming

Book Description
Python is a versatile language that has found applications in many industries. The clean syntax, rich standard library, and vast selection of third-party libraries make Python a wildly popular language.
Python High Performance is a practical guide that shows how to leverage the power of both native and third-party Python libraries to build robust applications.
The book explains how to use various profilers to find performance bottlenecks and apply the correct algorithm to fix them. The reader will learn how to effectively use NumPy and Cython to speed up numerical code. The book explains concepts of concurrent programming and how to implement robust and responsive applications using Reactive programming. Readers will learn how to write code for parallel architectures using Tensorflow and Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark.
By the end of the book, readers will have learned to achieve performance and scale from their Python applications.
What you will learn

Write efficient numerical code with the NumPy and Pandas libraries
Use Cython and Numba to achieve native performance
Find bottlenecks in your Python code using profilers
Write asynchronous code using Asyncio and RxPy
Use Tensorflow and Theano for automatic parallelism in Python
Set up and run distributed algorithms on a cluster using Dask and PySpark




相關書籍

Active Learning (Synthesis Lectures on Artificial Intelligence and Machine Le)

作者 Burr Settles

2017-05-26

偏不讓你抓:最強 Python 爬蟲 vs 反爬蟲大戰實錄

作者 韋世東

2017-05-26

移動深度學習

作者 李永會

2017-05-26







2
2
2