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Classes and Object-oriented Programming in Python 3

You might have heard the sentence which states that “everything is an object in Python”. This course will teach you how to approach the object-oriented paradigm in Python and how to implement it in practice.

To fully utilize the power of Python, you need to be familiar with how to create your own custom classes. In this course, Classes and Object-oriented Programming in Python, you’ll learn to structure programs in an object-oriented way. First, you’ll explore how to define custom classes and instantiate objects. Next, you’ll discover how manage attribute access with properties. Finally, you’ll learn how to implement inheritance, class attributes and how to use data classes. When you’re finished with this course, you’ll have the skills and knowledge of object-oriented programming in Python needed to build enterprise level applications with the OOP paradigm in mind.

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What's inside

Syllabus

Course Overview

Everything Is an Object

Instantiating Custom Classes

Managing Attribute Access

Implementing Class Inheritance

Accessing Class Attributes and Methods

Using Data Classes

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Taught by highly regarded instructor Mateo Prigl, this course provides expert guidance

Provides a solid foundation for learners new to object-oriented programming in Python

Develops core skills and knowledge required for building enterprise-level Python applications

Covers a comprehensive range of topics, including custom classes, attribute access, inheritance, and data classes

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Classes and Object-oriented Programming in Python 3 with these activities:

Review Python Class Syntax

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Refreshes your Python syntax to prepare for learning OOP concepts.

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Review Python data types, variables, and operators.
Review Python classes, objects, and methods.

Build a Basic Python Class

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Develop competency in building basic Python classes.

Browse courses on Object Oriented Programming

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Follow a tutorial to build a simple Python class.
Create a class with attributes and methods.
Instantiate an object from the class.

Design a Python Class Diagram

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Develop a deeper understanding of class structure and relationships.

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Design a class diagram for a given problem.
Include classes, attributes, methods, and relationships.
Review your diagram for accuracy and completeness.

Three other activities

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Solve Python OOP Practice Problems

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Gain proficiency in implementing OOP concepts.

Browse courses on Object Oriented Programming

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Solve practice problems involving Python classes and objects.
Debug and refactor your code.

Discuss OOP Design Patterns with Peers

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Gain exposure to industry-best practices for OOP design.

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Join a study group or online forum.
Discuss OOP design patterns and their applications.
Share and critique code examples.

Write a Blog Post on OOP in Python

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Solidify your understanding by teaching others.

Browse courses on OOP Concepts

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Choose a specific OOP concept to focus on.
Research and gather information.
Write a clear and concise blog post.

Career center

Learners who complete Classes and Object-oriented Programming in Python 3 will develop knowledge and skills that may be useful to these careers:

DevOps Engineer

DevOps Engineers are responsible for the development and maintenance of software systems. This course helps build a foundation in object-oriented programming in Python, which is commonly used for building and maintaining enterprise applications. Python is also a popular language for DevOps tools and automation.

See salaries and explore the career path for DevOps Engineer

Web Developer

Web Developers design, build, and maintain websites and web applications. This course helps build a foundation in object-oriented programming in Python, which is commonly used for building and maintaining web applications. Django, a popular web development framework, is written in Python.

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Software Developer

Software Developers build, deploy, and maintain software using a wide range of programming languages to meet the needs and demands of clients. This course helps build a foundation in object-oriented programming in Python, which is one of the most popular programming languages in the world, particularly in the development of web and enterprise applications.

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Systems Analyst

Systems Analysts design, build, and maintain computer systems and applications. This course helps build a foundation in object-oriented programming in Python, which is commonly used for building and maintaining enterprise applications.

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Software Architect

Software Architects design and build the architecture of software systems. This course helps build a foundation in object-oriented programming in Python, which is commonly used for building and maintaining enterprise applications.

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Computer Programmer

Computer Programmers write and maintain the code that powers computer applications and systems. This course helps build a foundation in object-oriented programming in Python, which is one of the most popular programming languages in the world.

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Software Engineer

Software Engineers design, develop, and maintain software systems. This course helps build a foundation in object-oriented programming in Python, which is one of the most popular programming languages in the world, particularly for enterprise applications.

See salaries and explore the career path for Software Engineer

Data Scientist

Data Scientists gather and analyze data to uncover hidden patterns and trends. This course may be useful to Data Scientists who wish to use Python to manage and analyze data. Python offers a wide range of data analysis and visualization libraries, making it a popular choice for Data Scientists.

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Quality Assurance Analyst

Quality Assurance Analysts test and evaluate software systems to ensure that they meet quality standards. This course may be useful for Quality Assurance Analysts who wish to use Python to automate testing tasks and analyze data. Python has a number of libraries that are designed for testing and quality assurance.

See salaries and explore the career path for Quality Assurance Analyst

Data Analyst

Data Analysts gather and analyze data to uncover hidden patterns and trends. This course may be useful to Data Analysts who wish to use Python to manage and analyze data. Python offers a wide range of data analysis and visualization libraries, making it a popular choice for Data Analysts.

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Database Administrator

Database Administrators maintain and manage database systems, ensuring that data is stored, organized, and backed up properly. This course may be useful for Database Administrators who wish to use Python to automate tasks and manage data. Python has a number of libraries that are designed for working with databases.

See salaries and explore the career path for Database Administrator

Network Administrator

Network Administrators maintain and manage computer networks. This course may be useful for Network Administrators who wish to use Python to automate network tasks and manage data. Python has a number of libraries that are designed for working with networks and network protocols.

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Information Security Analyst

Information Security Analysts protect computer systems and networks from unauthorized access and cyber attacks. This course may be useful for Information Security Analysts who wish to use Python to automate security tasks and analyze data. Python has a number of libraries that are designed for security purposes.

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Product Manager

Product Managers are responsible for the development and management of software products. This course may be useful for Product Managers who wish to use Python to automate product management tasks and analyze data. Python has a number of libraries that are designed for product management and data analysis.

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Technical Writer

Technical Writers create and maintain documentation for software systems and products. This course may be useful for Technical Writers who wish to use Python to automate documentation tasks and generate documentation from code. Python has a number of libraries that are designed for documentation generation.

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Reading list

We've selected 12 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Classes and Object-oriented Programming in Python 3.

Python Cookbook

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Provides a comprehensive reference for Python programming. It covers all aspects of the language, from basic syntax to advanced topics such as concurrency and multiprocessing. It valuable reference for Python developers of all levels, providing quick access to essential information.

Classes and Object-oriented Programming in Python 3

What's inside

Syllabus

Good to know

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Activities

Career center

Reading list

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