PDA

View Full Version : Python 3: Deep Dive (Part 4 - OOP)



BaDshaH
11-16-2023, 10:34 AM
https://i122.fastpic.org/big/2023/1116/98/4ccbe150b3dcec4d66e53c207d075198.jpg

Last updated 12/2022
Duration: 36h 41m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 14.1 GB
Genre: eLearning | Language: English

Python Object Oriented Programming (OOP)

What you'll learn
Python Object Oriented Concepts
Classes
Methods and Binding
Instance, Class and Static Methods
Properties
Property Decorators
Single Inheritance
Slots
Descriptors
Enumerations
Exceptions
Metaprogramming

Requirements
Strong knowledge of functional Python
Closures and Decorators
Iterators, Iterables and Generators
Mapping Types, Hashing
Some exposure to basic OOP

Description
This Python3: Deep Dive Part 4 course takes a closer look at object oriented programming (OOP) in Python.
MAIN COURSE TOPICS
what are classes and instances
class data and function attributes
properties
instance, class and static methods
polymorphism and the role special functions play in this
single inheritance
slots
the descriptor protocol and its relationship to properties and functions
enumerations
exceptions
metaprogramming (including metaclasses)
COURSE PREREQUISITES
Please note this is NOT a beginner level course. You must have a strong working knowledge of functional Python programming as well as some practical experience developing Python applications in order to fully benefit from this course.
In-depth functional Python programming
functions, closures, scopes, decorators (using and writing them)
zip, sorted, any, all, and the itertools module in general
sequences, iterables, iterators and generators (what they are and how to implement the corresponding protocols)
generators, yield, and context managers
mapping types, hashing and relation to object equality
some prior knowledge of basic OOP concepts
know how to work with Python virtual environments and pip install
available Jupyter Notebook (freely available) to follow along with the course notebooks
how to use git
[Please note that this is not a cookbook style course - I don't show you how to solve specific problems, but rather a broad and in-depth look at how OOP works in the context of Python, that will allow you to apply these concepts and techniques to your own problems.]

Who this course is for
Experienced intermediate Python developers who want a more in-depth understanding of Python OOP

Homepage

https://www.udemy.com/course/python-3-deep-dive-part-4/


https://i.postimg.cc/vmLsvJBf/url.png





https://rapidgator.net/file/7cd083f00513e5ae1ed69ae8a50f33c3
https://rapidgator.net/file/db2bcfc5b4086d06a3c4127b2e264cfc
https://rapidgator.net/file/a37670e387379f21e35f4cdc536e0fe7
https://rapidgator.net/file/0484fa4cc6696e026df001a558e2ec60
https://rapidgator.net/file/1cb284c1671797b988d7eb591f05a27d
https://rapidgator.net/file/86fd2243829c80372b31314ae493f7a3
https://rapidgator.net/file/0d8ef21a711895a8767adccb3eb97c43
https://rapidgator.net/file/4898ceca6d7f974bbdab0bb79a9d38a8
https://rapidgator.net/file/5d717173e78e393e2e5b049247bf20ec
https://rapidgator.net/file/476093000d431c71e725861536d76bde
https://rapidgator.net/file/10777e7a49a8a41f4c499e318e47cf16
https://rapidgator.net/file/6c5a10bd5fc9357ef396d3d6504156c8
https://rapidgator.net/file/4534c13a515cc7607b992f7a7e5b47ba
https://rapidgator.net/file/d7399197fece70952b7aae2179a18b97
https://rapidgator.net/file/e7d63e2ace0db6c9159ac2bb2dd7c410




https://nitroflare.com/view/1032C63878B4D94
https://nitroflare.com/view/B5B8B6B3C2D9953
https://nitroflare.com/view/5865739E9C7CCA5
https://nitroflare.com/view/050E3D89A79C1D6
https://nitroflare.com/view/FC1AB38F430BA22
https://nitroflare.com/view/E3C8B2260C42DF3
https://nitroflare.com/view/4A41EAD0EC4CAAF
https://nitroflare.com/view/85198747ACA3B16
https://nitroflare.com/view/067052FAB0412E9
https://nitroflare.com/view/EFD651BDF499CA2
https://nitroflare.com/view/4BD605A89CD8867
https://nitroflare.com/view/CB3E54F0013F655
https://nitroflare.com/view/B5F8DC1E5413764
https://nitroflare.com/view/4A4714A375DFD2A
https://nitroflare.com/view/F68B5690FAD9DDA