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High Performance Python: Practical Performant Programming For Humans

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High Performance Python: Practical Performant Programming for Humans

by Micha Gorelick

4.7 out of 5

Language	:	English
File size	:	12246 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Print length	:	470 pages

Python Performance Fundamentals
Python Profiling and Debugging
Python Performance Optimization
Python Concurrency and Parallelism
Python Performance Case Studies

In the realm of modern software development, performance reigns supreme. Applications must be lightning-fast, responsive, and scalable to meet the ever-increasing demands of users. Python, with its extensive library ecosystem and versatility, has emerged as a formidable force in the programming landscape. However, harnessing the true potential of Python's performance requires a deep understanding of its inner workings and a systematic approach to optimization.

'High Performance Python: Practical Performant Programming For Humans' serves as an invaluable guide for Python developers seeking to elevate their code to new heights of efficiency. This comprehensive resource delves into the intricacies of Python performance, empowering readers with the knowledge and techniques to transform their applications into lean, mean, and lightning-fast machines.

Python Performance Fundamentals

The foundation of high-performance Python lies in understanding its core concepts. This section delves into:

Python's architecture and interpreter
Data structures and their performance implications
Time and space complexity analysis
Common performance pitfalls and anti-patterns

Python Profiling and Debugging

Identifying performance bottlenecks is crucial for targeted optimization. This section provides a deep dive into:

Profiling tools and techniques
Analyzing profiling data to pinpoint performance issues
Debugging performance problems using tools and techniques
Common debugging strategies for performance-related issues

Python Performance Optimization

With a solid understanding of performance fundamentals and debugging techniques, this section empowers readers with a comprehensive arsenal of optimization strategies:

Optimizing code for speed using profiling data
Employing efficient data structures and algorithms
Memory management techniques for Python
Code optimization techniques for Python
Best practices for optimizing I/O operations

Python Concurrency and Parallelism

Modern applications often require the ability to handle multiple tasks simultaneously. This section explores:

Python's concurrency and parallelism models
Concurrency primitives and synchronization techniques
Optimizing code for concurrent and parallel execution
Common pitfalls and best practices in concurrent and parallel programming

Python Performance Case Studies

To solidify the concepts learned throughout the book, this section presents real-world case studies:

Optimizing a data processing pipeline
Improving the performance of a web application
Accelerating machine learning algorithms
Profiling and optimizing a complex software system

'High Performance Python: Practical Performant Programming For Humans' is the ultimate resource for Python developers seeking to unlock the full potential of their code. By embracing the principles and techniques outlined in this book, readers can transform their applications into high-performance powerhouses, delivering exceptional user experiences and meeting the demands of modern software development.

Free Download your copy today and embark on a journey to Pythonic performance mastery!

High Performance Python: Practical Performant Programming for Humans

by Micha Gorelick

4.7 out of 5