What you would learn in Object Oriented Programming with Modern Python course?
You're now at the top source online, and it's the only one that you will need to understand as well as learn object-oriented programming using Python!
There's never been the perfect time to start learning python. It's consistently in the top three most sought-after and well-liked programming languages across the globe. It has applications in web development, machine learning data science, games development, automation, and many more. Its growth is not showing any sign of slowing down.
However, while there are many ways to get started with the basics of Python but it's a bit difficult to get past them to the advanced and intermediate aspects of this language. This course will attempt to remedy the issue.
In more than twenty hours' worth of thorough classes, live coding, and guided projects, we'll unravel everything python offers, beginning with a complete start. We will not only master the basics of object-oriented programming and how to utilize it as well but also get a better understanding of the data model in Python and the very essence of writing Python code.
Each five- to 10-minute minutes, we will be able to practice the material we've covered in the course of working through a detailed list of requirements. We will then convert it into an object-oriented approach backed to do with no-dependencies, pure Python.
Structure & Curriculum
The curriculum is structured around three components of developing the level of ability.
In the first part, we will establish the fundamentals of working using Python classes by defining our classes by modifying them with Dunders and exposing properties to manage attributes and efficiently using inheritance.
Once we have established the base over the following five sections, we'll look into more advanced subjects that successful Python developers depend on. This includes advanced tools like data classes and slots and enumerations, but also more well-established, fundamental structures like descriptions and exceptions.
In the fourth and final sections, we'll examine how Python recognizes and works with different types beneath the hood. We will look at, try out and implement a variety of patterns such as the duck type, dynamic protocol, and abstraction base classes. We will also examine the external machinery that creates classes in Python before we move on to metaprogramming classes.
* Dynamic Protocols
* Abstract Base Classification
* Multiple Inheritance
* Class Metaprogramming
This course is designed for anyone determined to master object-oriented programming in Python regardless of prior experience. This is why it comes with a complete introduction to the programming language to help anyone get proficient in writing Python code within a matter of minutes.
Find out Python object-oriented programming from scratch with in-depth lessons and practical exercises.
Learn through 16 specific projects to apply your knowledge to real-world situations
Make your classes using individual behavior, representation, and connections
Know the difference between inheritance and multi inheritance. This includes best practices and optimal usage scenarios.
Learn about modern language constructs such as data classes, enumerations and slots, and much more.
Learn the Pythonic method of working with built-ins, types, and their counterparts
Gain a thorough understanding of the more complex parts such as abstract base classes, descriptors, and metaprogramming
Create your own data structures that exhibit a particular behavior, e.g., an array that sorts itself or a dictionary that doesn't ever raise KeyError
Effectively deal with exceptions and establish your exception hierarchies
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