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Free Course Download100% Free Direct MP4 LinksUdemySoftware Engineering & Algorithms2023-6 Edition

Download Advanced OOP with Python. Beyond the basics. Course for Free

Download the complete Advanced OOP with Python. Beyond the basics. video course for free with high-definition MP4 video lectures, project exercise archives, and step-by-step masterclasses. Learn offline at your own pace with zero paywalls or recurring subscriptions.

21Lectures
2.8Total Hours
372.7MB Total Size
MP4 / 1080p HD
Instructor: Udemy
English
beginner to advanced
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All Video Lectures Available to Download21 Videos

Direct high-speed MP4 downloads for every chapter.

Course introduction

MP4 HD9m20.37 MB
Stream

Classes and Objects

MP4 HD8m17.58 MB
Stream

Methods

MP4 HD9m19.23 MB
Stream

Object inspection

MP4 HD7m14.57 MB
Stream

Object instantiation

MP4 HD2m4.92 MB
Stream

Inheritance

MP4 HD16m36.13 MB
Stream

Abstract base class

MP4 HD10m22.58 MB
Stream

Extending methods

MP4 HD7m15.81 MB
Stream

Type hints

MP4 HD10m22.15 MB
Stream

Method overloading

MP4 HD3m5.68 MB
Stream

OOP in a dynamic language

MP4 HD3m7.41 MB
Stream

Polymorphism

MP4 HD15m32.62 MB
Stream

Interfaces

MP4 HD6m12.41 MB
Stream

Typed abstract base class

MP4 HD8m17.88 MB
Stream

Protocols

MP4 HD19m42.00 MB
Stream
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What You'll Master in this Free Download Course

Publisher:  Udemy
Lecturer: Loek van den Ouweland
Training level: beginner to advanced
Training duration: 1 hour and 53 minutes
Number of courses: 21

About this Free Download Course

Advanced OOP with Python course. Beyond the basics. This course teaches object-oriented design in Python beyond the intermediate level. This course will strengthen and deepen your knowledge of classes, objects, inheritance and polymorphism. You will learn many details of Python’s class and object-specific implementations, including construction, overriding, and overloading. Do lots of exercises that allow you to practice common OOP tasks. Developers who especially benefit from this course include: Python developers who have learned the basics of OOP and want to delve deeper into the mechanics of OOP in Python. Developers who bring experience from another OO programming language and want to learn how to use OOP in Python Self-taught OOP developers who want to improve their skills by learning best practices Students interested in this course often know the basic features of OOP but are not yet aware of Python’s unique language features that allow them to work in an object-oriented Pythonic way. This can lead to verbose or inefficient code. My goal is to teach you the up-to-date and preferred ways of working with OOP in Python and to make your code structured and maintainable. What can you do after this course? Make better decisions about when and how to use OOP features in your code Create more efficient classes by integrating Python’s built-in language features Embrace Python’s dynamic character by using structured type checking subjects Classes and objects: class instantiation, self, data properties, UML, methods, __str__, __repr__, constructor Inheritance: methods of inheritance, extension and override, access to the base class through the super base class, abstract OOP in a dynamic language: dynamic typing, static type checking, overloading Polymorphism: open-closed principle, type equality, interfaces and protocols Encapsulation: attribute view. Misappropriation name, properties Classes in Python: class as object, class variables, class and static methods.

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Are project materials, exercise files, and source code included?+

Yes! If this course includes downloadable source code, exercise assets, or templates, they are available in the "Course Exercise Files & Project Archives" section as standard ZIP files for free download.

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Free Download Summary

Price:100% Free
Total Lectures:21 videos
Total Duration:2.8 hours
Video Format:MP4 (1080p HD)
Registration:None (Instant Access)
Offline Playback:Supported
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Specialist in Software Engineering & Algorithms. Real-world engineering curriculum and hands-on masterclasses.

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