EFFECTIVE PYTHON: 59 SPECIFIC WAYS TO WRITE BETTER PYTHON (EFFECTVE SOFTWARE DEVELOPMENT)

Slatkin, Brett

ISBN 10: 0134034287 / ISBN 13: 9780134034287

Edité par Addison-Wesley, 2015

A propos de cet article

2015. Very good condition. Effective software development series. This book will help you master a truly "Pythonic" approach to programming, harnessing Python's full power to write exceptionally robust and well-performing code. Cardwraps. xviii and 227 pages including index. Second printing. Heavy crease to top corner of front cover, smaller creases to other corner tips. Contents clean. Packaged with care and promptly dispatched! N° de réf. du vendeur 2134105

Détails bibliographiques

Titre : EFFECTIVE PYTHON: 59 SPECIFIC WAYS TO WRITE ...

Éditeur : Addison-Wesley

Date d'édition : 2015

Reliure : Softcover

Etat : Very Good

Etat de la jaquette : No Jacket

A propos de ce titre

Synopsis :

By Slatkin, Brett ( Author ) [ Effective Python: 59 Specific Ways to Write Better Python By Mar-2015 Paperback

Revue de presse:

“I’ve been programming in Python for years and thought I knew it pretty well. Thanks to this treasure trove of tips and techniques, I realize there’s so much more I could be doing with my Python code to make it faster (e.g., using built-in data structures), easier to read (e.g., enforcing keyword-only arguments), and much more Pythonic (e.g., using zip to iterate over lists in parallel).”

–Pamela Fox, educationeer, Khan Academy

 

“If I had this book when I first switched from Java to Python, it would have saved me many months of repeated code rewrites, which happened each time I realized I was doing particular things ‘non-Pythonically.’ This book collects the vast majority of basic Python ‘must-knows’ into one place, eliminating the need to stumble upon them one-by-one over the course of months or years. The scope of the book is impressive, starting with the importance of PEP8 as well as that of major Python idioms, then reaching through function, method and class design, effective standard library use, quality API design, testing, and performance measurement–this book really has it all. A fantastic introduction to what it really means to be a Python programmer for both the novice and the experienced developer.”

–Mike Bayer, creator of SQLAlchemy

 

“Effective Python will take your Python skills to the next level with clear guidelines for improving Python code style and function.”

–Leah Culver, developer advocate, Dropbox

 

“This book is an exceptionally great resource for seasoned developers in other languages who are looking to quickly pick up Python and move beyond the basic language constructs into more Pythonic code. The organization of the book is clear, concise, and easy to digest, and each item and chapter can stand on its own as a meditation on a particular topic. The book covers the breadth of language constructs in pure Python without confusing the reader with the complexities of the broader Python ecosystem. For more seasoned developers the book provides in-depth examples of language constructs they may not have previously encountered, and provides examples of less commonly used language features. It is clear that the author is exceptionally facile with Python, and he uses his professional experience to alert the reader to common subtle bugs and common failure modes. Furthermore, the book does an excellent job of pointing out subtleties between Python 2.X and Python 3.X and could serve as a refresher course as one transitions between variants of Python.”

–Katherine Scott, software lead, Tempo Automation

 

“This is a great book for both novice and experienced programmers. The code examples and explanations are well thought out and explained concisely and thoroughly.”

–C. Titus Brown, associate professor, UC Davis

 

“This is an immensely useful resource for advanced Python usage and building cleaner, more maintainable software. Anyone looking to take their Python skills to the next level would benefit from putting the book’s advice into practice.”

–Wes McKinney, creator of pandas; author of Python for Data Analysis; and software engineer at Cloudera