Learn Python programming, build real-world projects, master OOP, SQL, and create professional documentation.
Welcome to “Master Python: From Beginner to Advanced Projects”!
What you’ll learn
- Set up and use PyCharm IDE effectively to create, debug, and run Python projects..
- Understand Python’s basic syntax, variables, loops, conditionals, and error handling..
- Master essential Python data structures such as lists, tuples, dictionaries, and sets..
- Write clean, maintainable code using PEP 8 guidelines and modular programming principles..
- Use Google-style docstrings and Sphinx to create professional project documentation..
- Build real-world projects like a fitness tracker and a dice game, showcasing modular design and reusability..
- Understand object-oriented programming concepts, including inheritance, polymorphism, and encapsulation..
- Work with relational databases by designing schemas, performing CRUD operations, and writing advanced SQL queries..
- Use SQL transactions to ensure data consistency and integrity in database operations..
- Visualize and design software systems using UML diagrams such as class, sequence, and activity diagrams..
- Generate automated documentation for projects using Sphinx and manage its configuration..
- Gain confidence in debugging code with breakpoints, step-throughs, and error identification techniques..
- Handle user input safely and implement robust input validation in Python applications..
- Learn advanced Python concepts such as magic methods, operator overloading, and decorators..
- Develop skills to structure Python projects with modules, packages, and good design principles..
Course Content
- Getting Started with PyCharm IDE –> 4 lectures • 6min.
- Essential Programming Concepts in Python –> 16 lectures • 28min.
- Code Quality and Best Practices in Python –> 9 lectures • 20min.
- Project #1: Simple Fitness Tracker –> 11 lectures • 15min.
- Project #2: Simple Dice Game –> 15 lectures • 13min.
- Project #3: Scientific Calculator –> 12 lectures • 8min.
- Object-Oriented Programming Basics –> 7 lectures • 21min.
- UML Basics –> 7 lectures • 14min.
- Relational Databases –> 11 lectures • 21min.
Requirements
Welcome to “Master Python: From Beginner to Advanced Projects”!
This course is designed to take you from an absolute beginner to a proficient Python programmer. Whether you’re just starting out in programming or looking to enhance your Python skills, this course will guide you through all the essential concepts and real-world applications.
We start from the basics, covering Python syntax, data types, and foundational programming concepts, so even if you’ve never written a line of code before, you’ll feel comfortable right from the start. You’ll learn how to work with variables, operators, and functions, as well as how to write clean, readable code. The course will also introduce you to Python’s built-in functions and modules, enabling you to handle a wide variety of tasks with ease.
As you progress, we dive deeper into more advanced topics such as Object-Oriented Programming (OOP), which will teach you how to organize and structure your code effectively. You’ll also learn to interact with databases using SQL, create UML diagrams for software design, and write professional-grade documentation using Google-style docstrings.
In addition to the core programming concepts, you’ll work on hands-on projects that will give you real-world experience. You will create a Fitness Tracker and a Dice Game, both of which will help you solidify your understanding by building fully functional applications. These projects will cover everything from setting up your development environment to writing the code and testing your program.
This course also emphasizes best practices, such as adhering to the PEP 8 guidelines for writing clean, maintainable code, and learning how to document your work effectively. You’ll also explore automated documentation generation using tools like Sphinx to create professional-level project documentation.
Key features of this course include:
- Beginner-friendly content that assumes no prior programming experience.
- Hands-on projects that cover both simple and advanced Python applications.
- Clear explanations of fundamental programming concepts and advanced techniques.
- Best practices and industry standards to make sure your code is clean, efficient, and maintainable.
- Real-world applications like a fitness tracker and a dice game.
- In-depth coverage of Object-Oriented Programming (OOP) and relational databases with SQL.
By the end of this course, you will be able to confidently tackle Python programming tasks, build functional applications, and work with databases and OOP. You’ll also know how to write clean code, document your projects, and implement key programming concepts in your day-to-day work.