Hacker's Guide to Scaling Python
- Indbinding:
- Paperback
- Sideantal:
- 310
- Udgivet:
- 4. december 2017
- Størrelse:
- 152x228x24 mm.
- Vægt:
- 468 g.
- 8-11 hverdage.
- 2. november 2024
Normalpris
Abonnementspris
- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Hacker's Guide to Scaling Python
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.
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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