Learning To Program - Part 2: Abstractions from Pluralsight

Learning To Program Part 2 focuses on building abstractions using the popular and friendly Python programming language.

Learning To Program 2 will introduce you to the fun and friendly Python programming language. In this course we'll focus on using and creating abstractions by trying different Python data structures, like the list, set, dictionary, and tuple. We'll also spend time looking at the fundamental concepts of object oriented programming, and how to apply those concepts when building a program.

Python is an interpreted, high-level and general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant whitespace.

Python is one of the most loved programming languages by developers, data scientists, software engineers, and even hackers because of its versatility, flexibility, and object-oriented features. Although it's a high-level language and can do complex tasks, Python is easy to learn and has a clean syntax.

Abstraction focuses on hiding the internal implementations of a process or method from the user. In this way, the user knows what he is doing but not how the work is being done.

Object-oriented programming is a programming paradigm based on the concept of "objects", which can contain data and code: data in the form of fields, and code, in the form of procedures. A feature of objects is that an object's own procedures can access and often modify the data fields of itself.

Python can be used on multiple programming paradigms, web testing, data extraction, artificial Intelligence (AI) and data science researches. Python can also be used on web applications and internet development, database easy access, interface customization, quick system integration, cybersecurity, and many other programs.

What's inside

Syllabus

Learning To Program Part 2- Introduction to Python

Learning To Program Part 2- Functions, Lists, and Strings

Learning To Program Part 2- Data Structures

Learning To Program Part2 Concepts Of Object Oriented Programming

Learning To Program Part 2- Object Oriented Programming Applied

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops Python skills, which are in high demand across many industries

Taught by Scott Allen, who is active in the Python community and has extensive experience in tech education

Covers core concepts of object-oriented programming, which are essential for software development

Introduces Python data structures and their applications, providing a solid foundation for data management

Emphasizes abstraction, which enhances code readability and maintainability

May require prior programming experience or strong self-motivation due to the intermediate level of the course

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 Learning To Program - Part 2: Abstractions with these activities:

Review Python Fundamentals

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Refresh your knowledge of Python syntax, data structures, and programming concepts before starting the course.

Browse courses on Python Basics

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Review course materials or online resources on Python basics
Practice writing simple Python programs
Complete practice exercises or quizzes

Python Tutorial for Beginners

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Supplement your course material with concise and well-structured tutorials that provide a clear and progressive introduction to Python.

Browse courses on Python Basics

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Follow a comprehensive Python tutorial series
Take notes and practice the concepts covered in each tutorial
Complete the practice exercises and quizzes provided

Create a Python Resource Compilation

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Organize your course materials, notes, and supplementary resources to enhance your learning and retention.

Browse courses on Learning Materials

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Gather all relevant materials, including lecture notes, assignments, and online resources
Organize the materials into a logical structure, using folders or a digital notebook
Annotate or summarize key concepts and ideas
Review the compilation regularly to reinforce your understanding

Five other activities

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Learn to Program: Practical Python Exercises

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Build a solid foundation in Python by completing practical exercises that cover fundamental programming concepts.

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Set up your Python development environment
Create a Python project and write your first program
Learn the basics of Python syntax, data types, and control flow
Practice working with Python data structures, such as lists, dictionaries, and sets
Develop your problem-solving skills by solving coding challenges

Python Study Group

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Join or create a Python study group to connect with peers, discuss concepts, and work on projects together.

Browse courses on Python Programming

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Find or form a study group with other Python learners
Meet regularly to discuss course material, share knowledge, and tackle challenges together
Collaborate on projects and provide constructive feedback

Python Coding Challenges for Beginners

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Enhance your problem-solving skills and solidify your understanding of Python syntax and concepts.

Browse courses on Python Coding

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Solve coding challenges on platforms like LeetCode or HackerRank
Focus on Python-specific challenges related to data structures, algorithms, and object-oriented programming
Analyze solutions and learn from both successful and unsuccessful attempts

Python Workshop: Hands-on Coding

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Engage in hands-on coding sessions led by experienced Python developers to apply your knowledge and receive personalized feedback.

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Attend a Python workshop or coding meetup
Collaborate on projects and learn from others
Seek guidance from mentors and experts

Contribute to Python Open Source Projects

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Get involved in the Python open-source community by contributing to projects, reporting bugs, and engaging in discussions.

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Identify Python projects that align with your interests and skill level
Contribute code, documentation, or bug reports
Interact with the project community through forums and discussions

Career center

Learners who complete Learning To Program - Part 2: Abstractions will develop knowledge and skills that may be useful to these careers:

Software Developer

Software Developers design, build, and maintain computer applications and software programs. This course may be useful for building a foundation in programming and object-oriented programming, both of which are essential for software development.

See salaries and explore the career path for Software Developer

Web Developer

Web Developers design, build, and maintain websites. This course may be useful for building a foundation in programming and object-oriented programming, both of which are essential for developing dynamic and interactive websites.

See salaries and explore the career path for Web Developer

Artificial Intelligence Engineer

Artificial Intelligence Engineers design, build, and maintain artificial intelligence systems. This course may be useful for building a foundation in programming and object-oriented programming, both of which are essential for developing AI systems.

See salaries and explore the career path for Artificial Intelligence Engineer

Machine Learning Engineer

Machine Learning Engineers design, build, and maintain machine learning systems. This course may be useful for building a foundation in programming and object-oriented programming, both of which are essential for developing machine learning systems.

See salaries and explore the career path for Machine Learning Engineer

Software Architect

Software Architects design and oversee the development of complex software systems. This course may be useful for building a foundation in programming and object-oriented programming, both of which are essential for designing and developing large-scale software systems.

See salaries and explore the career path for Software Architect

Data Scientist

Data Scientists analyze data to help businesses understand their customers, products, and operations. This course may be useful as an introduction to data structures and object-oriented programming, both of which are essential for organizing, managing, and analyzing data.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts collect, clean, and interpret data to help businesses understand their customers, products, and operations. This course may be useful as an introduction to data structures, which are essential for organizing and managing data.

See salaries and explore the career path for Data Analyst

Information Security Analyst

Information Security Analysts protect computer systems and networks from unauthorized access and attacks. This course may be useful as an introduction to programming and object-oriented programming, both of which are increasingly used to develop security systems and tools.

See salaries and explore the career path for Information Security Analyst

Systems Analyst

Systems Analysts study business processes and design and implement computer systems that improve efficiency. This course may be useful as an introduction to programming and object-oriented programming, both of which are essential for designing and implementing computer systems.

See salaries and explore the career path for Systems Analyst

UX Designer

UX Designers design the user experience for websites, applications, and other digital products. This course may be useful for building a foundation in programming and object-oriented programming, both of which are increasingly used to create dynamic and interactive user experiences.

See salaries and explore the career path for UX Designer

Product Manager

Product Managers plan and oversee the development of software products. This course may be useful for building a foundation in programming and object-oriented programming, both of which are essential for understanding the technical aspects of software development.

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Business Analyst

Business Analysts study business processes and identify opportunities to improve efficiency and profitability. This course may be useful as an introduction to programming and object-oriented programming, both of which are increasingly used to automate and improve business processes.

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Computer Programmer

Computer Programmers write and test code that allows computer applications and software programs to run. This course may be useful as an introduction to programming in Python, and the concepts of object-oriented programming.

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Database Administrator

Database Administrators manage and maintain the databases used by businesses to store data. This course may be useful for building a foundation in data structures, which are essential for organizing and managing data.

See salaries and explore the career path for Database Administrator

Technical Writer

Technical Writers create documentation and other materials to help users understand and use technical products. This course may be useful for learning how to write clear and concise technical documentation, which is essential for communicating complex technical information.

See salaries and explore the career path for Technical Writer