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Object-Oriented Programming in Python

We will build an interactive boxing match simulation using Python classes to represent different fighters. You will learn how to define class attributes, instantiate object instances, and customize behaviors through methods. The concepts covered translate to building all types of apps.

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What's inside

Syllabus

Project Overview

In this project, you will gain hands-on experience working with classes in Python to model real-world objects and systems. By the end, you will be able to utilize key object-oriented programming principles like inheritance and polymorphism. We will build an interactive boxing match simulation using Python classes to represent different fighters. You will learn how to define class attributes, instantiate object instances, and customize behaviors through methods. The concepts covered translate to building all types of apps.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

The course is designed for learners with a beginner-level understanding of Python and programming

Teaches core object-oriented programming principles like inheritance and polymorphism

Enables learners to work with classes in Python to model real-world objects and systems

Provides a hands-on learning experience through an interactive boxing match simulation

Shows how to define class attributes, instantiate object instances, and customize behaviors through methods

Suitable for learners interested in developing various types of apps

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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 Object-Oriented Programming in Python with these activities:

Review basic Python syntax and data structures

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Review basic programming concepts to ensure a strong foundation for understanding object-oriented programming.

Browse courses on Python

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Revisit Python tutorials or documentation on variables, data types, and control flow
Practice writing simple Python code

Review 'Head First Object-Oriented Analysis and Design'

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Review a comprehensive book on object-oriented analysis and design to gain a deeper understanding of the concepts.

View Head First Design Patterns: Building Extensible... on Amazon

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Read the book's chapters on classes, objects, and inheritance
Complete the end-of-chapter exercises
Summarize key concepts and principles in your own words

Practice writing Python code to define classes and objects

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Engage in practice drills to enhance proficiency in writing Python code related to classes and objects.

Browse courses on Python

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Set up a Python development environment
Write Python code to define a simple class and create instances of that class

Five other activities

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Follow tutorials on inheritance and polymorphism in Python

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Find guided tutorials to strengthen understanding of key object-oriented programming principles.

Browse courses on Inheritance

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Search for tutorials on inheritance and polymorphism in Python
Follow the tutorials and complete the practice exercises

Participate in peer-led discussions on object-oriented programming

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Engage in peer-led discussions to exchange knowledge and reinforce understanding of object-oriented programming concepts.

Browse courses on Object-Oriented Programming

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Find a peer or group of peers to collaborate with
Choose a topic related to object-oriented programming for discussion
Prepare talking points and examples to share with the group

Compile a collection of resources on object-oriented programming in Python

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Create a compilation of resources to support learning and reinforce understanding of object-oriented programming principles in Python.

Browse courses on Object-Oriented Programming

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Gather tutorials, articles, and videos on object-oriented programming in Python
Organize the resources into a structured format
Share the compilation with peers or the course community

Design and implement a Python class to simulate a boxing match

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Create a deliverable based on class design and object-oriented programming principles to solidify the concepts.

Browse courses on Object-Oriented Programming

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Define the class structure and attributes for the boxer
Implement methods for attacking, defending, and taking damage
Simulate a boxing match between two instances of the boxer class

Contribute to an open-source project that uses object-oriented programming

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Contribute to an open-source project to gain hands-on experience applying object-oriented programming principles in a real-world setting.

Browse courses on Open Source

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Find an open-source project that aligns with your interests
Review the project's documentation and contribute code
Interact with the project's community and contribute to discussions

Career center

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

Software Engineer

A Software Engineer is responsible for designing, developing, and maintaining software applications. They work closely with other engineers and stakeholders to gather requirements, design solutions, and implement and test code. This course can help you build a foundation in object-oriented programming principles, which are essential for success in this role. You will learn how to define classes, instantiate objects, and customize behaviors through methods. These concepts are used in all types of software development, so taking this course can give you a competitive advantage in the job market.

See salaries and explore the career path for Software Engineer

Data Scientist

A Data Scientist uses data to solve business problems. They collect, clean, and analyze data to identify trends and patterns. This course can help you build a foundation in Python, which is a popular language for data science. You will also learn how to use Python libraries for data analysis and visualization. Taking this course can give you a competitive advantage in the job market, as data science is a growing field with high demand for qualified professionals.

See salaries and explore the career path for Data Scientist

Data Analyst

A Data Analyst collects, cleans, and analyzes data to identify trends and patterns. They work closely with business stakeholders to communicate insights and recommendations. This course can help you build a foundation in Python, which is a popular language for data analysis. You will also learn how to use Python libraries for data analysis and visualization. Taking this course can give you a competitive advantage in the job market, as data analysis is a growing field with high demand for qualified professionals.

See salaries and explore the career path for Data Analyst

Machine Learning Engineer

A Machine Learning Engineer designs, develops, and deploys machine learning models. They work closely with data scientists and other engineers to identify problems that can be solved using machine learning and to develop and implement solutions. This course can help you build a foundation in Python, which is a popular language for machine learning. You will also learn how to use Python libraries for machine learning and data analysis. Taking this course can give you a competitive advantage in the job market, as machine learning is a growing field with high demand for qualified professionals.

See salaries and explore the career path for Machine Learning Engineer

Web Developer

A Web Developer designs, develops, and maintains websites. They work closely with designers and other engineers to create websites that are both visually appealing and functional. This course can help you build a foundation in Python, which is a popular language for web development. You will also learn how to use Python frameworks for web development. Taking this course can give you a competitive advantage in the job market, as web development is a growing field with high demand for qualified professionals.

See salaries and explore the career path for Web Developer

Software Architect

A Software Architect designs and oversees the development of software systems. They work closely with other engineers and stakeholders to define the architecture of a system and to ensure that it meets the needs of the business. This course can help you build a foundation in object-oriented programming principles, which are essential for success in this role. You will learn how to design and implement software systems that are scalable, reliable, and maintainable.

See salaries and explore the career path for Software Architect

Full-Stack Developer

A Full Stack Developer designs, develops, and maintains both the front-end and back-end of websites and applications. They work closely with other engineers and designers to create websites and applications that are both visually appealing and functional. This course can help you build a foundation in Python, which is a popular language for full stack development. You will also learn how to use Python frameworks for web development and data analysis. Taking this course can give you a competitive advantage in the job market, as full stack development is a growing field with high demand for qualified professionals.

See salaries and explore the career path for Full-Stack Developer

Database Administrator

A Database Administrator designs, implements, and maintains databases. They work closely with other engineers and stakeholders to ensure that databases are reliable, scalable, and secure. This course can help you build a foundation in Python, which is a popular language for database administration. You will also learn how to use Python libraries for data analysis and visualization. Taking this course can give you a competitive advantage in the job market, as database administration is a growing field with high demand for qualified professionals.

See salaries and explore the career path for Database Administrator

Security Analyst

A Security Analyst identifies, analyzes, and mitigates security risks. They work closely with other engineers and stakeholders to develop and implement security measures. This course can help you build a foundation in Python, which is a popular language for security analysis. You will also learn how to use Python libraries for security analysis tasks. Taking this course can give you a competitive advantage in the job market, as security analysis is a growing field with high demand for qualified professionals.

See salaries and explore the career path for Security Analyst

Systems Administrator

A Systems Administrator manages and maintains computer systems. They work closely with other engineers and stakeholders to ensure that systems are reliable, scalable, and secure. This course can help you build a foundation in Python, which is a popular language for systems administration. You will also learn how to use Python libraries for system administration tasks. Taking this course can give you a competitive advantage in the job market, as systems administration is a growing field with high demand for qualified professionals.

See salaries and explore the career path for Systems Administrator

Network Administrator

A Network Administrator manages and maintains computer networks. They work closely with other engineers and stakeholders to ensure that networks are reliable, scalable, and secure. This course can help you build a foundation in Python, which is a popular language for network administration. You will also learn how to use Python libraries for network administration tasks. Taking this course can give you a competitive advantage in the job market, as network administration is a growing field with high demand for qualified professionals.

See salaries and explore the career path for Network Administrator

Software Tester

A Software Tester designs and executes tests to ensure that software systems are reliable, scalable, and secure. They work closely with other engineers and stakeholders to identify and fix bugs. This course can help you build a foundation in Python, which is a popular language for software testing. You will also learn how to use Python libraries for software testing tasks. Taking this course can give you a competitive advantage in the job market, as software testing is a growing field with high demand for qualified professionals.

See salaries and explore the career path for Software Tester

Technical Writer

A Technical Writer creates and maintains technical documentation. They work closely with other engineers and stakeholders to ensure that documentation is clear, accurate, and up-to-date. This course can help you build a foundation in Python, which is a popular language for technical writing. You will also learn how to use Python libraries for technical writing tasks. Taking this course can give you a competitive advantage in the job market, as technical writing is a growing field with high demand for qualified professionals.

See salaries and explore the career path for Technical Writer

Product Manager

A Product Manager defines and manages the development of products. They work closely with other engineers and stakeholders to identify customer needs and to develop and launch products that meet those needs. This course may help you build a foundation in Python, which is a popular language for product management. You will also learn how to use Python libraries for product management tasks. Taking this course may give you a competitive advantage in the job market, as product management is a growing field with high demand for qualified professionals.

See salaries and explore the career path for Product Manager

Project Manager

A Project Manager plans and executes projects. They work closely with other engineers and stakeholders to ensure that projects are completed on time, within budget, and to the required quality standards. This course may help you build a foundation in Python, which is a popular language for project management. You will also learn how to use Python libraries for project management tasks. Taking this course may give you a competitive advantage in the job market, as project management is a growing field with high demand for qualified professionals.

See salaries and explore the career path for Project Manager

Reading list

We've selected 14 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 Object-Oriented Programming in Python.

Design Patterns

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Classic work on design patterns, and is essential reading for any software developer who wants to write reusable and maintainable code.

Object-Oriented Programming in Python

Three deals to help you save

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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