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High Performance Python: Practical Performant Programming for Humans
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High Performance Python: Practical Performant Programming for Humans
This practical book shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs.
High Performance Python: Practical Performant Programming for Humans
Item #: 154839190

High Performance Python: Practical Performant Programming for Humans

Item #: 154839190

HTG 8385

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This practical book shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs.
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Product Details

Shop High Performance Python: Practical Performant Programming for Humans online at a best price in Haiti. 1098165969
Publisher O'Reilly Media
Publication date June 3, 2025
Edition 3rd
Language English
Print length 521 pages
ISBN-10 1098165969
ISBN-13 978-1098165963
Item Weight 1.9 pounds (860 grams)
Dimensions 7 x 1.25 x 9 inches (17.8 x 3.2 x 22.9 cm)

Product Description

High Performance Python: Practical Performant Programming for Humans

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Customer Questions & Answers

  • Question: What is 'High Performance Python' about?

    Answer: 'High Performance Python' is a comprehensive guide designed to help programmers improve the performance of their Python code. The book covers advanced programming techniques, such as optimization strategies, memory management, and utilizing Python’s efficient libraries. By demonstrating practical examples, it aims to teach how to write faster and more efficient Python applications, making it an invaluable resource for developers looking to enhance their coding skills.
  • Question: Who is the target audience for this book?

    Answer: The book is primarily aimed at Python developers who have a foundational understanding of the language and want to dive deeper into performance optimization. It’s suitable for anyone from intermediate programmers to seasoned software engineers who are looking to enhance their coding practices, particularly in data processing, machine learning, or web development where performance is critical.
  • Question: What topics are covered in 'High Performance Python'?

    Answer: 'High Performance Python' covers a variety of topics including profiling and benchmarking, memory optimization techniques, concurrency and parallelism, and best practices for using libraries like NumPy and Pandas. These topics are structured to provide a holistic view of performance improvement, allowing the reader to apply these techniques to real-world scenarios effectively.
  • Question: Is prior knowledge of Python required to understand the book?

    Answer: Yes, having a foundational knowledge of Python is necessary to fully grasp the concepts presented in 'High Performance Python.' The book builds upon basic programming principles, so readers should be comfortable with Python syntax and tools before diving into the more advanced optimization topics. This preparatory knowledge will facilitate a smoother learning experience.
  • Question: How can this book help with data science projects?

    Answer: 'High Performance Python' is particularly valuable for data scientists as it teaches how to optimize data processing tasks. By implementing the strategies found in the book, data scientists can decrease the runtime of their analyses, enhance data manipulation efficiency with libraries like Pandas, and manage memory usage effectively, ultimately speeding up their workflows and improving project outcomes.
  • Question: Are there practical exercises included in the book?

    Answer: Yes, 'High Performance Python' includes practical exercises and examples throughout its chapters. These real-world scenarios enable readers to apply what's learned directly, fostering a hands-on understanding of the performance enhancement strategies. Engaging with these exercises helps solidify knowledge and allows for experimentation with personal projects in performance optimization.
  • Question: Can this book help improve my software development skills?

    Answer: Absolutely. By reading 'High Performance Python,' you will gain insights into performance-oriented coding practices that can significantly enhance your software development skills. Learning to write code that performs efficiently can lead to developing faster and more robust applications, making you a more competitive and skilled developer in the job market.
  • Question: What are some recommendations to accompany this book?

    Answer: To get the most out of 'High Performance Python,' consider pairing it with works that focus on overall Python development, such as 'Fluent Python' or 'Python Cookbook.' Additionally, hands-on experience through coding projects, joining online Python communities, and participating in coding challenges can further enhance your learning process and application of the concepts discussed in the book.
  • Question: Who is the author of 'High Performance Python'?

    Answer: 'High Performance Python' is authored by Micha Gorelick and Ian Ozsvald, both of whom are experienced professionals in the software development industry. They share their extensive knowledge of Python programming and performance optimization, drawing from real-life experiences, making this book a credible and insightful resource for readers aiming to boost their coding performance.
  • Question: Where can I buy 'High Performance Python: Practical Performant Programming For Humans'?

    Answer: You can purchase 'High Performance Python: Practical Performant Programming For Humans' at Ubuy, a convenient platform that offers a wide array of books and resources, including this one in Haiti. Ubuy provides an excellent shopping experience with easy access to various formats and editions, ensuring you receive the best option that suits your needs.

Performance Optimization Editorial Review

The latest edition of the product in question has garnered mixed feedback from customers. A significant concern revolves around the print quality, which many users find lacking. Comments indicate that the images in the book are in black and white and difficult to interpret, with descriptions of the text appearing washed out and low in contrast. Reviewers express disappointment, especially those who have experienced previous editions, as they note a stark decline in print clarity. Thus far, Consensus suggests that while the content may hold promise, the overall presentation fails to deliver, leaving readers frustrated about their purchase.

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  • Content potentially valuable (though not yet reviewed thoroughly by all users)

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  • Poor print quality, with low contrast text

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Features & Benefits

  • Learn to identify and fix performance bottlenecks in Python.
  • Enhance your understanding of Python's implementation for improved performance.
  • Utilize multicore architectures and GPU for faster computations.
  • Gain insights into using tools like NumPy, Cython, and profilers effectively.
  • Master efficient data structures for optimized code performance.
  • Speed up data processing with advanced libraries like Pandas, Dask, and Polars.

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