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High Performance Python: Practical Performant Programming for Humans 2nd Edition
85% of respondents would recommend this to a friend
AZN 73
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What Stands Out
Product Details
- Learn how to locate performance bottlenecks and speed up code in high-data-volume programs
- Gain a deeper understanding of Python’s implementation and take advantage of multicore architectures and clusters
- Discover solutions to issues and concrete strategies from experienced Python programmers
- Improve efficiency by choosing appropriate data structures and speeding up computations
- Manage multiple I/O and computational operations concurrently and deploy code faster using tools like Docker
- Recommended for intermediate to advanced Python programmers with a solid foundation in the language
| Publisher | O'Reilly Media |
| Publication date | June 9, 2020 |
| Edition | 2nd |
| Language | English |
| Print length | 468 pages |
| ISBN-10 | 1492055026 |
| ISBN-13 | 978-1492055020 |
| Item Weight | 2.2 pounds (1 kg) |
| Dimensions | 6.75 x 1.25 x 9 inches (17.1 x 3.2 x 22.9 cm) |
Who Should Buy?
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Intermediate Developers
Ideal for those with basic Python skills seeking to enhance code performance through practical examples and techniques.
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Data Scientists
Useful for data scientists aiming to optimize data processing tasks, ensuring more efficient model training and results.
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System Architects
Beneficial for architects focused on designing scalable systems, integrating performance considerations into the development lifecycle.
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Absolute Beginners
Not suitable for complete novices in Python, as the content requires prior understanding of programming concepts.
Product Description
High Performance Python: Practical Performant Programming for Humans 2nd Edition
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Performance Optimization Editorial Review
**** The second edition of "High Performance Python: Practical Performant Programming for Humans" is an insightful and comprehensive guide tailored for Python developers seeking to refine their skills. The book delves deeply into various methodologies for profiling Python applications, optimizing performance, and managing memory—critical components for both seasoned developers and those slightly less experienced in the language. Readers have attested to the high quality of both the writing and code examples, which are meticulously crafted and offer real-world applications of advanced concepts. Significant focus is placed on profiling and benchmarking, ensuring that developers not only learn techniques but comprehend their proper contexts and implementations in terms of performance improvement. Although the content is thorough and generally well-organized, some reviewers noted that the book could have benefited from more concise writing, as it sometimes meanders into filler that feels unnecessary. Additionally, the authors' informal writing style—where personal anecdotes about the authors themselves pop up unexpectedly—can disrupt the flow of learning for some readers, raising questions about relevance in a technical context. Overall, "High Performance Python" has proven to be a valuable resource for those looking to elevate their Python programming, particularly for those with an intermediate grasp of Python and its ecosystems. While it may occasionally detract with its length and unconventional narrative style, the robust techniques and insights presented make it a must-read for dedicated Python practitioners ready to enhance their coding proficiency. **
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Pros
- In-depth exploration of profiling, performance tuning, and memory management in Python.
- High-quality examples and practical applications.
- Strong focus on when and where to apply specific optimization techniques.
- Versatile usage either as a linear read or a reference guide.
Cons
- Lengthy; some content feels like filler.
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AZN 73
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