Python functions deep dive

• Titel: Python functions deep dive
• Titelzusatz: Part 2: Write simple and parameterized decorator
• Mitwirkende: Groot, Coen de [MitwirkendeR]
• Institutionen: Apress (Firm), [Verlag]
• Ausgabe: [First edition].
• Verlagsort: [New York, New York]
• Verlag: Apress
• E-Jahr: 2024
• Jahr: [2024]
• Umfang: 1 online resource (1 video file (49 min.))
• Illustrationen: sound, color.
• Fussnoten: Online resource; title from title details screen (O’Reilly, viewed June 3, 2024)
• ISBN: 9798868801617
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Python (Langage de programmation)
• Sach-SW: Logiciels d'application ; Développement
• Sach-SW: Instructional films
• Sach-SW: Nonfiction films
• Sach-SW: Internet videos
• Sach-SW: Films de formation
• Sach-SW: Films autres que de fiction
• Sach-SW: Vidéos sur Internet
• K10plus-PPN: 1892758954
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4544431735
• Lokale URL Inst.: Zum Volltext

Abstract

This is the second part of a two-part video series about Python functions. This video will explore local and global variables, nested functions, and using closures for encapsulation of state within functions. Next, the video will cover how to use functions as arguments and return values, and monkey patching. Finally, we will look at decorators. Decorators rely on several fundamental concepts, all covered previously in this video, to do something that can look a bit like magic - they let you add behavior to an existing function without touching the original ('decorated') function. The video will demonstrate how to write a simple decorator, followed by a parameterized one. The video provides resources for continuing the learning journey with Python functions. What You Will Learn: • How to structure your code using functions • What are Nested functions • What is Monkey patching • What is Simple decorators and decorators with arguments Who This Video is For: This course is for beginner to intermediate Python developers who really want to understand how functions work and how to make the most of them.