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{ "item_title" : "Python Unleashed", "item_author" : [" Miguel Farmer "], "item_description" : "Master the internals of Python to write faster, smarter, and more scalable systemsWriting Python that works is easy.Writing Python that scales, performs, and handles complexity efficiently is a different skill.Python Unleashed is an advanced, engineering focused guide for developers who want to push beyond basics and master how Python really works under the hood.This book dives deep into performance, concurrency, and advanced techniques that separate good developers from great ones.Why advanced Python knowledge mattersAs systems grow, limitations appear: slow performance in critical pathsinefficient memory usagedifficulty handling concurrent workloadslack of flexibility in code designUnderstanding Python internals allows you to: write faster and more efficient codehandle large scale workloadsdesign flexible and dynamic systemsoptimize performance where it mattersWhat you will learnadvanced concurrency models and patternsthreading, multiprocessing, and async programmingevent loops and non blocking systemsmetaprogramming and dynamic code generationdecorators, descriptors, and introspectionmemory management and garbage collectionoptimizing CPU and I O bound workloadsprofiling and benchmarking techniqueswriting high performance Python codebest practices for scalable systemsFrom working code to high performance systemsThroughout the book, you will learn how to: choose the right concurrency modeloptimize memory usage and execution speeddesign dynamic and flexible code structuresidentify performance bottlenecksrefactor code for efficiencybuild systems that scale under loadEach chapter focuses on practical performance improvements.Practical applicationshigh performance backend systemsreal time data processingconcurrent web serviceslarge scale automation systemsperformance critical applicationsThese examples reflect real engineering challenges.Who this book is forexperienced Python developersbackend engineersperformance focused engineerssystem architectsdevelopers building scalable systemsIf you want to unlock the full power of Python and build systems that are fast, efficient, and scalable, this book provides the roadmap.Optimize deeply.Think in systems.Write Python that performs.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/825/883/9798258834058_b.jpg", "price_data" : { "retail_price" : "24.99", "online_price" : "24.99", "our_price" : "24.99", "club_price" : "24.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Python Unleashed|Miguel Farmer

Python Unleashed : Advanced Concurrency, Metaprogramming, Memory Management, and High-Performance Code

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Overview

Master the internals of Python to write faster, smarter, and more scalable systems

Writing Python that works is easy.
Writing Python that scales, performs, and handles complexity efficiently is a different skill.

"Python Unleashed" is an advanced, engineering focused guide for developers who want to push beyond basics and master how Python really works under the hood.

This book dives deep into performance, concurrency, and advanced techniques that separate good developers from great ones.


Why advanced Python knowledge matters

As systems grow, limitations appear:

  • slow performance in critical paths
  • inefficient memory usage
  • difficulty handling concurrent workloads
  • lack of flexibility in code design

Understanding Python internals allows you to:

  • write faster and more efficient code
  • handle large scale workloads
  • design flexible and dynamic systems
  • optimize performance where it matters

What you will learn
  • advanced concurrency models and patterns
  • threading, multiprocessing, and async programming
  • event loops and non blocking systems
  • metaprogramming and dynamic code generation
  • decorators, descriptors, and introspection
  • memory management and garbage collection
  • optimizing CPU and I O bound workloads
  • profiling and benchmarking techniques
  • writing high performance Python code
  • best practices for scalable systems

From working code to high performance systems

Throughout the book, you will learn how to:

  • choose the right concurrency model
  • optimize memory usage and execution speed
  • design dynamic and flexible code structures
  • identify performance bottlenecks
  • refactor code for efficiency
  • build systems that scale under load

Each chapter focuses on practical performance improvements.


Practical applications
  • high performance backend systems
  • real time data processing
  • concurrent web services
  • large scale automation systems
  • performance critical applications

These examples reflect real engineering challenges.


Who this book is for
  • experienced Python developers
  • backend engineers
  • performance focused engineers
  • system architects
  • developers building scalable systems

If you want to unlock the full power of Python and build systems that are fast, efficient, and scalable, this book provides the roadmap.

Optimize deeply.
Think in systems.
Write Python that performs.

This item is Non-Returnable

Details

  • ISBN-13: 9798258834058
  • ISBN-10: 9798258834058
  • Publisher: Independently Published
  • Publish Date: May 2026
  • Dimensions: 9 x 6 x 0.95 inches
  • Shipping Weight: 1.37 pounds
  • Page Count: 470

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