Everand Logo

Welcome to Everand!

  • Discover millions of ebooks, audiobooks, and so much more with a free trial

    From $11.99/month after trial. Cancel anytime.

    Object-Oriented Programming with Python for Beginners
    Object-Oriented Programming with Python for Beginners
    Object-Oriented Programming with Python for Beginners
    Ebook112 pages1 hour

    Object-Oriented Programming with Python for Beginners

    By Sam Campbell

    ()

    Read preview

    About this ebook

    Object  Oriented Programming with Python for Beginners: Mastering the Fundamentals of Python and OOP. A Beginner's Guide is the quintessential handbook for newcomers eager to dive into the world of programming through the lens of Python, one of the most accessible and widely-used programming languages today. This comprehensive guide is meticulously crafted to introduce you to the fundamentals of programming, with a specific focus on the principles of Object-Oriented Programming (OOP).

    Starting with the very basics, the book walks you through setting up your programming environment, writing your first Python script, and understanding the syntax that makes Python a favorite among beginners and professionals alike. From there, it delves deep into the heart of OOP, demystifying concepts such as classes, objects, inheritance, polymorphism, encapsulation, and abstraction with clear explanations and engaging examples.

    What sets this guide apart is its practical approach to learning. Each theoretical concept is reinforced with hands-on projects, from simple games to web applications, ensuring that you not only understand the principles of OOP but also know how to apply them in real-world scenarios. Whether you aspire to develop software, dive into web development, or explore the realms of data science and artificial intelligence, understanding OOP is an indispensable skill that will open doors to countless opportunities.

    LanguageEnglish
    PublisherMjPublishing4972
    Release dateDec 2, 2024
    ISBN9798230440178
    Object-Oriented Programming with Python for Beginners

    Read more from Sam Campbell

    Related to Object-Oriented Programming with Python for Beginners

    Related ebooks

    Programming For You

    View More
    View More

    Related podcast episodes

    Related articles

    • UNLIMITED

      Contributing For Non - Coders

      Jan 10, 2023

      Contributing For Non - Coders
      9 min read

    • UNLIMITED

      Why Python?

      Apr 7, 2020

      Python is an interpreted, high-level, general-purpose programming language that was first released in 1991 by its creator, Guido van Rossum. Very similar in programming construct to how BASIC (Beginners All-purpose Sybollic Instruction Code) was used

      1 min read

    • UNLIMITED

      Mind Your Language!

      Apr 4, 2023

      Mind Your Language!
      9 min read

    • UNLIMITED

      A.i. Coding

      Aug 22, 2023

      A.i. Coding
      16 min read

    • UNLIMITED

      Five Steps To Join The Era Of Industry 4.0

      Sep 4, 2019

      When 3D modelling tool Revit first arrived on the scene, Australian architects were some of the world’s earliest adopters, with local users outnumbering Europe and the US combined. As a country, we’re often ahead of the curve, and should be building

      1 min read

    • UNLIMITED

      Zulip Economy

      Oct 20, 2020

      Zulip Economy
      10 min read

    • UNLIMITED

      FLASK Web Frameworks

      Jun 4, 2019

      The main focus of Python has always been to get you cracking on with your coding – the language was never made for web programming. However, this has just made it more interesting to extend the language for the web, or to create an interface to web-b

      9 min read

    • UNLIMITED

      Software Whiteboards

      Jul 26, 2022

      Software Whiteboards
      1 min read

    • UNLIMITED

      The Verdict

      May 30, 2023

      The Verdict
      2 min read

    • UNLIMITED

      Workflow

      Nov 17, 2020

      Workflow
      3 min read

    • UNLIMITED

      Top 10 Programming Languages

      Jan 5, 2023

      Top 10 Programming Languages
      8 min read

    • UNLIMITED

      Coding For Kids

      Nov 14, 2019

      Coding For Kids
      3 min read

    • UNLIMITED

      Choices, Choices

      Apr 5, 2022

      Matt Yonkovit is the head of Open Source Strategy at Percona “Many modern programs are built with dozens of different open source components, constructed like LEGO from pre-built blocks. This approach to picking and choosing the best tools and compon

      1 min read

    • UNLIMITED

      Choices, Choices

      Apr 5, 2022

      Matt Yonkovit is the head of Open Source Strategy at Percona “Many modern programs are built with dozens of different open source components, constructed like LEGO from pre-built blocks. This approach to picking and choosing the best tools and compon

      1 min read

    • UNLIMITED

      Roundup

      May 30, 2023

      Roundup
      11 min read

    • UNLIMITED

      AI Chatbots

      Jan 7, 2025

      AI Chatbots
      14 min read

    • UNLIMITED

      Hot Picks

      Mar 9, 2021

      Hot Picks
      13 min read

    Related categories

    Reviews for Object-Oriented Programming with Python for Beginners

    0 ratings

    0 ratings0 reviews

    What did you think?

    Tap to rate

    Review must be at least 10 words

      Book preview

      Object-Oriented Programming with Python for Beginners - Sam Campbell

      Why Python?

      Python stands out as a programming language for several compelling reasons, making it a popular choice for beginners and experienced developers alike. Its rise to prominence is attributed to a combination of readability, versatility, and a vibrant community that continuously contributes to its development and wide-ranging applications.

      Firstly, Python's syntax is designed to be intuitive and closely resembles human language, which significantly lowers the barrier to entry for programming. This simplicity allows newcomers to grasp programming concepts without getting overwhelmed by complex syntax rules that are common in other languages. For experienced developers, Python's readability ensures that code is easy to understand, maintain, and debug, making it an efficient choice for both small and large-scale projects.

      Versatility is another hallmark of Python. It is a general-purpose language that can be used across different domains and disciplines, from web development and data analysis to artificial intelligence (AI) and scientific computing. This adaptability is powered by an extensive standard library and a vast ecosystem of third-party packages and frameworks. Libraries like NumPy and Pandas facilitate data manipulation and analysis, while frameworks such as Django and Flask are instrumental in web development. In the realm of AI and machine learning, TensorFlow and PyTorch are popular choices that have been developed with Python compatibility in mind.

      The community around Python is another of its strengths. A large and active community not only contributes to the language's development but also provides an invaluable resource for learning and troubleshooting. Whether it's through forums, social media, or conferences, Python enthusiasts are known for their willingness to help newcomers. This supportive environment enhances the learning experience and encourages collaboration and innovation.

      Furthermore, Python's compatibility and integration capabilities make it a preferred language in heterogeneous environments and for tasks requiring interaction with other languages and tools. It can run on all major operating systems and platforms, and interfaces exist for many other languages, allowing Python to serve as a glue language that ties different systems and components together.

      In education, Python's clarity and simplicity have made it a favorite for teaching programming concepts and computational thinking. It's often the first programming language taught in universities and has become integral to fields like data science and machine learning, where understanding the underlying concepts is as crucial as the implementation itself.

      Python's combination of readability, versatility, strong community support, and broad applicability across disciplines contributes to its status as one of the most popular and recommended programming languages today.

      Object-Oriented Programming Explained

      Object-Oriented Programming (OOP) is a programming paradigm that uses objects to design applications and computer programs. It is built around the concept of data abstraction, encapsulation, polymorphism, and inheritance, allowing for a structured and clear approach to programming that facilitates both complex software development and simpler code maintenance. OOP stands in contrast to procedural programming, a paradigm that focuses on procedural calls and structured programming.

      The essence of OOP lies in its use of objects, which are instances of classes. A class can be thought of as a blueprint or template that defines the properties (attributes) and behaviors (methods) that its objects will have. An object, then, is a self-contained component that consists of methods and properties to make a particular type of data useful. For example, if you were to model a library system, you might have classes such as Book, Library, and Patron, each with their own attributes and methods that define their interactions.

      Encapsulation is a fundamental concept in OOP that refers to the bundling of data (attributes) and methods that operate on the data into a single unit, or class, and controlling access to the inner workings of that class. This is a key mechanism for hiding the internal state of an object from the outside world and restricting access to only what is necessary, which enhances security and usability.

      Inheritance is another cornerstone of OOP, allowing classes to inherit properties and methods from other classes. This promotes code reusability and can significantly reduce redundancy. For instance, you might have a superclass called Vehicle, with subclasses like Car and Bicycle that inherit common attributes from Vehicle but also have their own unique properties.

      Polymorphism, which means many shapes in Greek, allows objects of different classes to be treated as objects of a common superclass. It is closely related to inheritance and encapsulation. Polymorphism enables a single interface to represent different underlying forms (data types). For example, you might have a method called move() that is implemented one way in a Car class and another way in a Bicycle class. Through polymorphism, you can call the move method on an object without needing to know its specific class.

      OOP fundamentally changes the way software is designed and written, promoting more flexible, scalable, and maintainable code. It allows developers to think in terms of real-world entities and their interactions, making it easier to translate complex problems into comprehensible solutions. By leveraging the principles of OOP, programmers can create systems that are more modular, easier to test and debug, and ready to adapt to new requirements with minimal changes to the existing codebase.

      Chapter 1: Getting Started with Python

      Installing Python

      Installing Python on your computer is the first step to start programming in this versatile language. The process is straightforward, but it can vary slightly depending on your operating system (OS). Below are the steps to install Python on Windows, macOS, and Linux systems.

      For Windows Users

      Download Python: Visit the official Python website at python.org and navigate to the Downloads section. The website should automatically offer you the latest version of Python for Windows. Click on the download link for the Windows installer.

      Run the Installer: Once the download is complete, run the executable installer. It's important to select the checkbox that says Add Python 3.x to PATH at the bottom of the installer window before you proceed. This step ensures that Python is accessible from the Command Prompt.

      Install Python: Click on the Install Now button and follow the instructions. The installer will set up Python and its tools on your system.

      Verify the Installation: Open Command Prompt and type python—version and press Enter. If Python is correctly installed, you should see the version number of Python that you installed.

      For macOS Users

      Download Python: Go to python.org, find the Downloads section, and choose the macOS installer. Download the latest version of Python for macOS.

      Run the Installer: Open the downloaded package and follow the installation instructions. macOS might prompt you to confirm the installation since it was downloaded from the internet.

      Enjoying the preview?
      Page 1 of 1