Table of contents
book introduction
Python has become the wave of technological innovation nowadays. The development trend of Python for all people makes people no longer satisfied with simply running Python programs, and gradually explores its wider daily applications and high-performance design. The large-scale model products represented by ChatGPT pose a challenge to junior program developers. If they want to gain a foothold and develop in the development field, they must master more advanced skills and abilities.
For Python developers, high-concurrency and high-performance development is undoubtedly an advanced path that must be taken in the future.
At present, there are many books on Java's high concurrency and high performance on the market, and there are many books explaining Python's basic syntax and routine use, but there are few books that specifically explain Python's high concurrency and high performance from implementation principles to practical applications. . In view of this, the author decided to analyze the advanced programming part of the Python language (that is, the core implementation principles and practical applications of high-concurrency and high-performance programming) based on his own experience, so as to help you who want to become senior Python engineers.
"Python High Concurrency and High-Performance Programming: Principles and Practice" is a professional guidance book to help Python beginners to advance to masters. It can help all Python practitioners get rid of the career crisis caused by products such as ChatGPT.
The book not only interprets the necessary basic knowledge of Python, but also conducts a principle-level analysis of all advanced features of Python.
This book starts from the advanced basic knowledge of Python, and gradually introduces the implementation process of high concurrency concepts in Python language and how high-performance features are implemented in Python language. Performance characteristics to solve the problems and optimization items encountered in the real project development process.
main content
This book mainly introduces the core implementation principles and code implementation of Python's high-concurrency and high-performance programming, including the following contents.
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Steps and specifications for high-concurrency and high-performance programming in Python.
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The core implementation principles related to Python's high-concurrency and high-performance programming.
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The specific manifestations and memory allocation strategies of the features related to Python's high-concurrency and high-performance programming in the current mainstream Python interpreter or virtual machine CPython.
Features of this book
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While deeply interpreting the core principles, readers' understanding of the core principles of Python's high-concurrency and high-performance programming is deepened through the implementation of actual work scenarios.
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Only focus on dry content, and do not use any content that is useless for readers to practice and learn.
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Corresponding legends and actual cases are given for key and difficult points to help readers understand.
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Only the core code is given to reduce the learning pressure of readers.
about the author
Zhou Yufan (Steafan)
Former P8 R&D engineer of Ali, CSDN certified blogger expert, contracted elite lecturer of MOOC. Open source project Nacos, Disruptor, JOL core contributors. Python, Java, C full-stack R&D engineer. He is proficient in Python and Java development, and has unique insights into high-concurrency and high-performance processing. He has independently implemented a service that can carry millions of concurrent operations, and designed and implemented a basic concurrent component library.
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