350+ Exercises – Python Programming Mega Pack – OOP

350+ Exercises – Python Programming Mega Pack – OOP, available at $69.99, has an average rating of 4.5, with 372 lectures, 353 quizzes, based on 35 reviews, and has 18601 subscribers.

You will learn about solve over 350 exercises in Python and Object Oriented Programming (OOP) deal with real programming problems work with documentation guaranteed instructor support This course is ideal for individuals who are programmers or developers who want to deepen their understanding and mastery of object-oriented programming (OOP) concepts in Python or students or individuals studying computer science or software engineering who need practical exercises to reinforce their knowledge of OOP principles and techniques in Python or Python developers who want to transition from procedural programming to object-oriented programming and want to practice implementing OOP concepts in Python or professionals working on projects that involve designing and implementing complex systems or applications and want to enhance their skills in utilizing OOP in Python or self-learners or enthusiasts interested in expanding their knowledge of OOP and developing their programming skills in Python using object-oriented techniques or developers from other programming languages who want to learn how to apply OOP concepts in Python and leverage Python's OOP features effectively It is particularly useful for programmers or developers who want to deepen their understanding and mastery of object-oriented programming (OOP) concepts in Python or students or individuals studying computer science or software engineering who need practical exercises to reinforce their knowledge of OOP principles and techniques in Python or Python developers who want to transition from procedural programming to object-oriented programming and want to practice implementing OOP concepts in Python or professionals working on projects that involve designing and implementing complex systems or applications and want to enhance their skills in utilizing OOP in Python or self-learners or enthusiasts interested in expanding their knowledge of OOP and developing their programming skills in Python using object-oriented techniques or developers from other programming languages who want to learn how to apply OOP concepts in Python and leverage Python's OOP features effectively.

Enroll now: 350+ Exercises – Python Programming Mega Pack – OOP

Summary

Title: 350+ Exercises – Python Programming Mega Pack – OOP

Price: $69.99

Average Rating: 4.5

Number of Lectures: 372

Number of Quizzes: 353

Number of Published Lectures: 372

Number of Published Quizzes: 353

Number of Curriculum Items: 725

Number of Published Curriculum Objects: 725

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

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

Who Should Attend

programmers or developers who want to deepen their understanding and mastery of object-oriented programming (OOP) concepts in Python
students or individuals studying computer science or software engineering who need practical exercises to reinforce their knowledge of OOP principles and techniques in Python
Python developers who want to transition from procedural programming to object-oriented programming and want to practice implementing OOP concepts in Python
professionals working on projects that involve designing and implementing complex systems or applications and want to enhance their skills in utilizing OOP in Python
self-learners or enthusiasts interested in expanding their knowledge of OOP and developing their programming skills in Python using object-oriented techniques
developers from other programming languages who want to learn how to apply OOP concepts in Python and leverage Python's OOP features effectively

Target Audiences

programmers or developers who want to deepen their understanding and mastery of object-oriented programming (OOP) concepts in Python
students or individuals studying computer science or software engineering who need practical exercises to reinforce their knowledge of OOP principles and techniques in Python
Python developers who want to transition from procedural programming to object-oriented programming and want to practice implementing OOP concepts in Python
professionals working on projects that involve designing and implementing complex systems or applications and want to enhance their skills in utilizing OOP in Python
self-learners or enthusiasts interested in expanding their knowledge of OOP and developing their programming skills in Python using object-oriented techniques
developers from other programming languages who want to learn how to apply OOP concepts in Python and leverage Python's OOP features effectively

The “350+ Exercises – Python Programming Mega Pack – OOP” course is an expansive, immersive training program focused on advancing Python programming skills with a particular emphasis on Object-Oriented Programming (OOP). This course is designed for both beginners and experienced Python programmers who want to delve into the realm of OOP.

With more than 350 hands-on exercises, this course offers a comprehensive exploration of Python’s object-oriented features. It begins with the basics of OOP, explaining concepts such as classes, objects, and methods. As the course progresses, it delves into more complex topics, such as inheritance, polymorphism, and encapsulation.

Each section of the course contains interactive exercises that are designed to reinforce understanding and improve proficiency. Students will get to solve real-world problems using OOP principles, thereby gaining a practical understanding of the material.

The course offers solutions for all exercises, allowing students to compare their approach with optimal solutions, thus enhancing their problem-solving and coding skills. This hands-on approach ensures that learners not only understand the theory behind OOP but also how to apply it practically when writing Python code.

The “350+ Exercises – Python Programming Mega Pack – OOP” course is an essential resource for any Python programmer who wants to dive deep into OOP. Whether you’re a novice wanting to understand OOP or an experienced coder looking for a comprehensive resource to polish your skills, this course offers an engaging and challenging way to learn and practice OOP in Python.

Python – Code with Simplicity and Power!

Python is a versatile and powerful high-level programming language known for its simplicity and readability. It provides a clean and expressive syntax that emphasizes code readability, making it easier to write and understand compared to many other programming languages. Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming, allowing developers to choose the most suitable approach for their projects.

Python boasts a vast standard library and a rich ecosystem of third-party packages, providing a wide range of tools and functionalities for diverse application domains. It is widely used in web development, scientific computing, data analysis, artificial intelligence, machine learning, automation, and more. Python’s popularity stems from its ease of use, extensive community support, and cross-platform compatibility, enabling developers to write code once and run it on various operating systems.

With its beginner-friendly nature and extensive resources for learning, Python has become an excellent language for individuals starting their programming journey. Its simplicity and versatility make it an ideal choice for prototyping, rapid development, and solving complex problems with concise and elegant code. Python’s philosophy of readability, combined with its broad application domain, has propelled it to be one of the most widely adopted programming languages across industries and disciplines.

Course Curriculum

Chapter 1: Tips

Lecture 1: A few words from the author

Lecture 2: Configuration

Lecture 3: Requirements

Chapter 2: Starter

Lecture 1: Solution 0

Chapter 3: —–BASICS—–

Lecture 1: Intro

Chapter 4: print() function

Lecture 1: Solution 1

Lecture 2: Solution 2

Lecture 3: Solution 3

Lecture 4: Solution 4

Lecture 5: Solution 5

Lecture 6: Solution 6

Lecture 7: Solution 7

Lecture 8: Solution 8

Lecture 9: Solution 9

Lecture 10: Solution 10

Chapter 5: Calculations in Python

Lecture 1: Solution 11

Lecture 2: Solution 12

Lecture 3: Solution 13

Lecture 4: Solution 14

Lecture 5: Solution 15

Lecture 6: Solution 16

Lecture 7: Solution 17

Lecture 8: Solution 18

Lecture 9: Solution 19

Lecture 10: Solution 20

Lecture 11: Solution 21

Lecture 12: Solution 22

Chapter 6: Slicing

Lecture 1: Solution 23

Lecture 2: Solution 24

Lecture 3: Solution 25

Lecture 4: Solution 26

Chapter 7: Data Types

Lecture 1: Solution 27

Lecture 2: Solution 28

Lecture 3: Solution 29

Chapter 8: Strings

Lecture 1: Solution 30

Lecture 2: Solution 31

Lecture 3: Solution 32

Lecture 4: Solution 33

Lecture 5: Solution 34

Lecture 6: Solution 35

Lecture 7: Solution 36

Lecture 8: Solution 37

Lecture 9: Solution 38

Lecture 10: Solution 39

Lecture 11: Solution 40

Lecture 12: Solution 41

Lecture 13: Solution 42

Lecture 14: Solution 43

Instructors

Paweł Krakowiak
Python Developer/Data Scientist/Stockbroker

Rating Distribution

1 stars: 1 votes
2 stars: 0 votes
3 stars: 0 votes
4 stars: 6 votes
5 stars: 28 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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