Serious Python
Black-Belt Advice on Deployment, Scalability, Testing, and More
Published on 27. December 2018
Book
Paperback/Softback
240 pages
978-1-59327-878-6 (ISBN)
Description
The Hacker's Guide to Python will teach you how to fine tune your Python code and give you a deeper understanding of how the language works under the hood. This essential guide distils years of Python experience into a handy collection of general advice and specific tips that will help you pick the right libraries, distribute your code correctly, build future-proof programs, and optimise your programs down to the bytecode.
Reviews / Votes
"Serious Python contains a considerable amount of judicious battle-tested advice from an experienced developer-as well as some insightful gems from the guest contributors-making the overall effort a welcome addition to the limited number of books aimed at more advanced Python programmers."-Michael J. Ross, web developer and former Slashdot contributor
More details
Language
English
Place of publication
San Francisco
United States
Dimensions
Height: 175 mm
Width: 230 mm
Thickness: 19 mm
Weight
472 gr
ISBN-13
978-1-59327-878-6 (9781593278786)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
E-Book
12/2018
No Starch Press
€31.99
Available for download
Person
Julien Danjou is a Principal Software Engineer at Red Hat and a contributor to OpenStack, the largest existing open source project written in Python. He has been a Free Software and Open Source hacker for the past 15 years.
Content
Introduction
Chapter 1: Starting Your Project
Chapter 2: Modules, Libraries, and Frameworks
Chapter 3: Documentation and Good API Practice
Chapter 4: Handling Timestamps and Time Zones
Chapter 5: Distributing Your Software
Chapter 6: Unit Testing
Chapter 7: Methods and Decorators
Chapter 8: Functional Programming
Chapter 9: The Abstract Syntax Tree, Hy, and Lisp-like Attributes
Chapter 10: Performances and Optimizations
Chapter 11: Scaling and Architecture
Chapter 12: Managing Relational Databases
Chapter 13: Write Less, Code More
Index
Chapter 1: Starting Your Project
Chapter 2: Modules, Libraries, and Frameworks
Chapter 3: Documentation and Good API Practice
Chapter 4: Handling Timestamps and Time Zones
Chapter 5: Distributing Your Software
Chapter 6: Unit Testing
Chapter 7: Methods and Decorators
Chapter 8: Functional Programming
Chapter 9: The Abstract Syntax Tree, Hy, and Lisp-like Attributes
Chapter 10: Performances and Optimizations
Chapter 11: Scaling and Architecture
Chapter 12: Managing Relational Databases
Chapter 13: Write Less, Code More
Index