If you're an experienced Python programmer, High Performance Python will guide you through the various routes of code optimization. You'll learn how to use smarter algorithms and leverage peripheral technologies, such as numpy, cython, cpython, and various multi-threaded and multi-node strategies. There's a lack of good learning and reference material available if you want to l...(展开全部)

Your Python code may run correctly, but you need it to run faster. Updated for Python 3, this expanded edition shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By exploring the fundamental theory behind design choices, High Performance Python helps you gain a deeper understanding of Python’s implementation. How d...(展开全部)

If you're an experienced Python programmer, High Performance Python will guide you through the various routes of code optimization. You'll learn how to use smarter algorithms and leverage peripheral technologies, such as numpy, cython, cpython, and various multi-threaded and multi-node strategies. There's a lack of good learning and reference material available if you want to l...(展开全部)

Your Python code may run correctly, but you need it to run faster. Updated for Python 3, this expanded edition shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By exploring the fundamental theory behind design choices, High Performance Python helps you gain a deeper understanding of Python’s implementation. How d...(展开全部)

Your Python code may run correctly, but you need it to run faster. By exploring the fundamental theory behind design choices, the updated edition of this practical guide, expanded and enhanced for Python 3, helps you gain a deeper understanding of Python’s implementation. You’ll learn how to locate performance bottlenecks and significantly speed up your code in high-data-volume...(展开全部)

Your Python code may run correctly, but you need it to run faster. By exploring the fundamental theory behind design choices, the updated edition of this practical guide, expanded and enhanced for Python 3, helps you gain a deeper understanding of Python’s implementation. You’ll learn how to locate performance bottlenecks and significantly speed up your code in high-data-volume...(展开全部)

The book is aimed at Python developers who want to improve the performance of their application. Basic knowledge of Python is expected

Chapter 1. Introduction Section 1.1. The High Performance Buzz-word Chapter 2. The Theory of Computation Section 2.1. Introduction Section 2.2. Problems Section 2.3. Models of Computation Chapter 3. Algorithms Section 3.1. Introduction Section 3.2. Anatomy of an Algorithm Section 3.3. Introducing Big O Notation Section 3.4. Recurrence Relations Section 3.5. P, NP, and Completen...(展开全部)

Chapter 1. Introduction Section 1.1. The High Performance Buzz-word Chapter 2. The Theory of Computation Section 2.1. Introduction Section 2.2. Problems Section 2.3. Models of Computation Chapter 3. Algorithms Section 3.1. Introduction Section 3.2. Anatomy of an Algorithm Section 3.3. Introducing Big O Notation Section 3.4. Recurrence Relations Section 3.5. P, NP, and Completen...(展开全部)

This book is aimed at developers with an advanced knowledge of Android and who want to test their skills and learn new techniques to increase the performance of their applications. We assume they are comfortable working with the entire Android SDK, and have been doing it for a few years. They need to be familiar with frameworks such as NDK to use native code, which is crucial for app performance.