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250190905
The Hacker's Guide to Scaling Python, (Paperback)
Nº de artículo:
250190905
NIO 2368
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Learn how to build high performing Python applications with proven guidelines and expert insights.
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Detalles de producto
- Python is an excellent programming language that allows to write applications quickly. But how do you make those applications scale for thousands of users and requests? It takes years of practice, research, trial and errors to build experience and knowledge along the way. Simple questions such as How do I make my code faster?, How do I make sure there is no bottleneck? or How do I run this application on several computers? cost hours to find satisfying answers. Without enough background on the topic, you'll never be sure that any solution you'll come up with will be correct. In The Hacker's Guide to Scaling Python, you will learn how to solve these issues. This book provides guidelines, tips and best practice on how to build high performing Python applications. Adding a few interview of experts on the subject, you will learn how you can distribute your Python application so it can process thousands of requests.
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | November, 2017 |
| Pages | 310 |
| Subgenre | General |
| Series title | No Series |
| Edition | 1 |
| Publisher | Lulu Press |
| Original languages | English |
| Language | English |
| Is collectible | N |
| Binding type | Perfect Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.00 x 0.70 x 9.00 in (15.2 x 1.8 x 22.9 cm) |
| Assembled product weight | 1.01 lb (460 grams) |
| Bisac subject heading | Computers |
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The Hacker's Guide to Scaling Python, (Paperback)
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Respuesta: The book was published on November 20, 2017. -
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Respuesta: The book is available in paperback format.
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NIO 2368
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características y beneficios
- Discover proven guidelines for scaling Python applications.
- Learn to solve performance issues effectively.
- Access expert interviews for insider knowledge.
- Understand how to handle thousands of user requests.
- Make your code faster and eliminate bottlenecks.
- Transform your Python applications for optimal performance.
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