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DevelopmentProgramming LanguagesPython

350+ Exercises - Python Programming Mega Pack - OOP - 2022

Mega Pack - Improve your Python programming & Object Oriented Programming skills and solve over 350 exercises!
Rating: 4.9 out of 54.9 (10 ratings)
9,085 students
Created by Paweł Krakowiak
Last updated 7/2022
English
English

What you'll learn

  • solve over 350 exercises in Python and Object Oriented Programming (OOP)
  • deal with real programming problems
  • work with documentation
  • guaranteed instructor support

Requirements

  • 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

Description

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.


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 improve Python programming skills
  • everyone who wants to improve OOP skills
  • everyone who wants to prepare for an interview

Instructor

Paweł Krakowiak
Python Developer/Data Scientist/Stockbroker
Paweł Krakowiak
  • 4.6 Instructor Rating
  • 4,530 Reviews
  • 199,859 Students
  • 75 Courses

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

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