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Speed Up Your Python with Rust: Optimize Python performance by creating Python pip modules in Rust with PyO3
88% of respondents would recommend this to a friend
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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
Product Details
- 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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OMR 21
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Features & Benefits
- 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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