The Hacker's Guide to Scaling Python

Danjou, Julien

ISBN 10: 1387379321 ISBN 13: 9781387379323

Editorial: Lulu.com 2017-11, 2017

Idioma: Ingl�s

Condici�n: Nuevo Encuadernaci�n de tapa blanda

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Detalles bibliogr�ficos

T�tulo

The Hacker's Guide to Scaling Python

Editor

Lulu.com 2017-11

Fecha de publicaci�n

2017

Idioma

Ingl�s

ISBN 10

1387379321

ISBN 13

9781387379323

Encuadernaci�n

Estado

New

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Sinopsis

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.

Rese�a del editor

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.

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