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Speed Up Your Python with Rust: Optimize Python performance by creating Python pip modules in Rust with PyO3
90% of respondents would recommend this to a friend
BOB 364
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Speed Up Your Python with Rust: Optimize Python performance by creating Python pip modules in Rust with PyO3
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What Stands Out
Detalles de producto
- Learn to implement Rust in a Python system without altering the entire system
- Write safe and efficient Rust code as a Python developer by understanding the essential features of Rust
- Build Python extensions in Rust by using Python NumPy modules in your Rust code
- Discover how to inject highly performant Rust features to develop fast and memory-safe applications
- Explore the quirks of the Rust programming language needed to code in Rust as a Python developer
- Create private Rust pip modules, deploy a Python Flask application in Docker, and utilize a private Rust pip module
| Publisher | Packt Publishing |
| Publication date | January 21, 2022 |
| Language | English |
| Print length | 384 pages |
| ISBN-10 | 180181144X |
| ISBN-13 | 978-1801811446 |
| Item Weight | 1.45 pounds (660 grams) |
| Dimensions | 7.5 x 0.87 x 9.25 inches (19.1 x 2.2 x 23.5 cm) |
Who Should Buy?
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Performance Seekers
Developers looking to significantly enhance Python performance through Rust optimizations will find tremendous value in this product.
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Rust Enthusiasts
Users already familiar with Rust can leverage their skills to optimize Python applications and create efficient modules.
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Data Scientists
Data professionals needing to speed up their Python applications for heavy computations can use Rust for performance improvements.
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Beginner Programmers
Those new to programming may struggle with complexities of Rust integration, making this resource less beneficial for them.
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Programming Editorial Review
**** This book presents an innovative perspective on combining Python with Rust, significantly easing the learning curve for those familiar with Python but not yet versed in Rust. The author, Maxwell Flitton, effectively bridges the gap between the two languages, making the concept of using Rust alongside Python appealing, particularly for data-intensive applications where performance matters. The book is well-structured, providing a gradual introduction to the Rust programming language and offering practical examples that demonstrate the integration of both languages. Readers note the book's fast-paced approach, which keeps them engaged while also emphasizing core concepts and best practices in software engineering. Despite initial expectations for an exhaustive treatment of each language, many appreciate its focused aim of teaching how Rust can enhance Python projects. This balance between brevity and thoroughness is commendable, striking a chord with experienced Python developers eager to expand their toolkit. However, there are caveats. Some users encountered performance issues when integrating Rust with PyPy, highlighting that while Rust is generally faster than Python, it may not always outperform PyPy in specific applications. This situation is acknowledged as a known limitation of the integration approach by the maintainer of PyO3, suggesting that users need to analyze their unique circumstances carefully. Minor issues, such as typos and awkward sentence structures, were noted but did not overshadow the overall positive reception of the book. Readers found the further reading recommendations to be valuable for enhancing their understanding of both Python and Rust, emphasizing the author's depth of knowledge and commitment to facilitating learning. Ultimately, this book is a highly recommended resource for advanced Python users looking to leverage Rust for increased performance and efficiency in their applications, while also improving their understanding of both programming languages. **
Customer Reviews & Ratings
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5 estrella
69%
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4 estrella
20%
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3 estrella
11%
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2 estrella
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ventajas
- Effective learning resource for integrating Rust with Python.
- Well-structured and fast-paced, maintaining reader engagement.
- Provides practical examples and emphasizes best software engineering practices.
- Encourages further exploration of both languages with recommended reading.
- Offers insights into the strengths of both languages in tech applications.
Contras
- Minor typos and awkward sentence structures present in the text.
Product Price History
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BOB 364
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características y beneficios
- Implement Rust in a Python system without altering the entire system
- Write safe and efficient Rust code as a Python developer
- Build Python extensions in Rust using Python NumPy modules
- Develop high-performant and secure apps with low memory footprint
- Fuse Rust code with Python for better concurrency support
- Deploy a Python Flask application in Docker using a private Rust pip module
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