Practices of the Python Pro (Manning)
Wednesday, 01 July 2020

This book shows how to design professional-level, clean, easily maintainable software at scale using Python. Author Dane Hillard uses easy-to-grok examples that use pseudocode and Python to introduce software development best practices, along with dozens of useful techniques.

<ASIN:1617296082>

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Author: Dane Hillard
Publisher: Manning
Date: January 2020
Pages: 248
ISBN: 978-1617296086
Print: 1617296082
Audience: Python developers
Level: Intermediate
Category: Python

 

pythonpro

  

  • Organizing large Python projects
  • Achieving the right levels of abstraction
  • Writing clean, reusable code Inheritance and composition
  • Considerations for testing and performance

 

For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

See also Programmer's Python: Everything is an Object (I/O Press), a title in the I Programmer Library, written by Mike James.

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner
 


Python Distilled (Addison-Wesley)

Author: David Beazley
Publisher: Addison-Wesley
Date: September 2021
Pages: 352
ISBN: 978-0134173276
Print: 0134173279
Rating: 4
Reviewer: Alex Armstrong
Python isn't a big language but it's getting bigger all the time.



Machine Learning with PyTorch and Scikit-Learn

Author: Sebastian Raschka, Yuxi (Hayden) Liu & Vahid Mirjalili
Publisher: Packt
Date: February 2022
Pages: 770
ISBN: 978-1801819312
Print: 1801819319
Kindle: B09NW48MR1
Audience: Python developers interested in machine learning
Rating: 5
Reviewer: Mike James
This is a very big book of machine le [ ... ]


More Reviews

<ASIN:1871962587>