150+ Exercises - Object Oriented Programming in Python - OOP
What you'll learn
- solve 150+ exercises in Python object-oriented programming - OOP
- namespaces and scopes (local, enclosing, global, built-in)
- LEGB rule
- use of *args and **kwargs
- classes and objects
- visibility of variables (public, protected, private)
- class attributes
- instance attributes
- decorator @property
- computed attributes
- class method, decorator @classmethod
- static method, decorator @staticmethod
- special methods: __new__(), __init__(), __repr__(), __str__(), __len__() and many more
- single inheritance, multiple inheritance
- MRO - Method Resolution Order
- super()
- abstract classes
- the ABC class and the @abstractmethod decorator
- work with documentation and Stack Overflow
- guaranteed instructor support
Requirements
- completion of all courses in the Python Developer learning path
- basic knowledge of OOP concepts
Description
Welcome to the 150+ Exercises - Object Oriented Programming in Python - OOP course, where you can test your Python programming skills in object-oriented programming (OOP) and complete over 150 exercises! Python is a programming language that lets you work quickly and integrate systems more effectively. Python can be easy to pick up whether you're a first time programmer or you're experienced with other languages.
Some topics you will find in the exercises:
namespaces and scopes
LEGB rule
*args and **kwargs
class attributes
instance attributes
the __init__() method
visibility of variables/attributes
encapsulation
computed attributes
class method - decorator @classmethod
static method - decorator @staticmethod
special methods, __new__(), __init__(), __repr__(), __str__(), __len__() and many more
inheritance, single inheritance, multiple inheritance
MRO - Method Resolution Order
super()
abstract classes, the ABC class and the @abstractmethod decorator
The course is designed for people who have basic knowledge in Python and OOP concepts. It consists of over 150 exercises with solutions. This course is focused on practical learning. This is a great test for people who are learning the Python language and OOP and are looking for new challenges. Exercises are also a good test before the interview. Many popular topics were covered in this course.
If you're wondering if it's worth taking a step towards Python, don't hesitate any longer and take the challenge today!
Stack Overflow Developer Survey
According to the Stack Overflow Developer Survey 2021, Python is the most wanted programming language. Python passed SQL to become our third most popular technology. Python is the language developers want to work with most if they aren’t already doing so.
Who this course is for:
- everyone who wants to learn by doing
- everyone who wants to learn object-oriented programming
- everyone who wants to improve Python programming skills
- everyone who wants to prepare for an interview
- data scientists / data analytics / machine learning engineers
Instructor
EN
Python Developer/Data Scientist/Stockbroker
Founder at e-smartdata[.]org.
Big fan of new technologies!
Graduate of postgraduate studies at the Polish-Japanese Academy of Information Technology in the field of Computer Science and Big Data specialization.
Graduate of MA studies in Financial and Actuarial Mathematics at the Faculty of Mathematics and Computer Science at the University of Lodz. Former PhD student at the faculty of mathematics.
Stockbroker license holder (no 3073).
Lecturer at the GPW Foundation (technical analysis, behavioral finance and portfolio management).
PL
Data Scientist, Securities Broker
Założyciel platformy e-smartdata[.]org
Miłośnik nowych technologii, szczególnie w obszarze sztucznej inteligencji, języka Python oraz rozwiązań chmurowych.
Absolwent podyplomowych studiów na Polsko-Japońskiej Akademii Technik Komputerowych na kierunku Informatyka, spec. Big Data.
Absolwent studiów magisterskich z matematyki finansowej i aktuarialnej na wydziale Matematyki i Informatyki Uniwersytetu Łódzkiego.
Od 2015 roku posiadacz licencji Maklera Papierów Wartościowych z uprawnieniami do czynności doradztwa inwestycyjnego (nr 3073).
Wykładowca w Fundacji GPW prowadzący szkolenia dla inwestorów z zakresu analizy technicznej, finansów behawioralnych i zasad zarządzania portfelem instrumentów finansowych.
Z doświadczeniem w prowadzeniu zajęć dydaktycznych na wyższej uczelni z przedmiotów związanych z rachunkiem prawdopodobieństwa i statystyką.
Główne obszary zainteresowań to język Python, sztuczna inteligencja, web development oraz rynki finansowe.
IG: e_smartdata