Overview
solve over 350 exercises in Python and Object Oriented Programming (OOP), deal with real programming problems, work with documentation, guaranteed instructor support
everyone who wants to learn by doing, everyone who wants to improve Python programming skills, everyone who wants to improve OOP skills, everyone who wants to prepare for an interview
completion of all courses in the Python Developer learning path, basic knowledge of Object Oriented Programming (OOP) concepts, basic knowledge of Python, I have courses which can assist in obtaining all the necessary skills for this course
Welcome to the 350+ Exercises - Python Programming Mega Pack - OOP course where you can test your Python & Object Oriented Programming skills.
Topics you will find in the basic exercises:
print() function
calculations in Python
slicing
strings, and str methods
data types
data structures: set. tuple, list, dict
program flow control
if statement
for loops
break statement
continue statement
while loops
exception handling
input/output
reading files
saving to files
built-in functions
defining your own functions
anonymous functions - lambda expression
generators
set comprehension
list comprehension
dict comprehension
built-in modules
Topics you will find in the Object Oriented Programming 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
This course is designed for people who have basic knowledge in Python and OOP concepts. It consists of 350 exercises with solutions. This is a great test for people who are learning the Python language and Object Oriented Programming and are looking for new challenges. Exercises are also a good test before the interview.
If you're wondering if it's worth taking a step towards Python and OOP, don't hesitate any longer and take the challenge today.
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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.
Paweł Krakowiak
EN
Python Developer/Data Scientist/Stockbroker
Enthusiast of new technologies, particularly in the areas of artificial intelligence, the Python language, big data and cloud solutions. Graduate of postgraduate studies at the Polish-Japanese Academy of Information Technology in the field of Computer Science and Big Data specialization. Master's degree graduate 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. Since 2015, a licensed Securities Broker with the right to provide investment advisory services (license number 3073). Lecturer at the GPW Foundation, conducting training for investors in the field of technical analysis, behavioral finance, and principles of managing a portfolio of financial instruments.
Founder at e-smartdata[.]org.
PL
Data Scientist, Securities Broker
Jestem miłośnikiem nowych technologii, szczególnie w obszarze sztucznej inteligencji, języka Python big data oraz rozwiązań chmurowych. Posiadam stopień absolwenta podyplomowych studiów na kierunku Informatyka, specjalizacja Big Data w Polsko-Japońskiej Akademii Technik Komputerowych oraz magistra z Matematyki Finansowej i Aktuarialnej na wydziale Matematyki i Informatyki Uniwersytetu Łódzkiego. Od 2015 roku posiadam licencję Maklera Papierów Wartościowych z uprawnieniami do czynności doradztwa inwestycyjnego (nr 3073). Jestem również wykładowcą w Fundacji GPW prowadzącym szkolenia dla inwestorów z zakresu analizy technicznej, finansów behawioralnych i zasad zarządzania portfelem instrumentów finansowych. Mam doświadczenie w prowadzeniu zajęć dydaktycznych na wyższej uczelni z przedmiotów związanych z rachunkiem prawdopodobieństwa i statystyką. Moje główne obszary zainteresowań to język Python, sztuczna inteligencja, web development oraz rynki finansowe.
Założyciel platformy e-smartdata[.]org
IG: e_smartdata