Overview
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This specialization features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the specialization.
The course starts with Python basics, covering variables, operators, and functions, then advances to topics like conditional statements, loops, and data structures such as lists and dictionaries. As you progress, you'll explore object-oriented programming (OOP), error handling, file management, and working with APIs. You’ll also get hands-on experience with tools like Visual Studio Code to improve your coding efficiency.
Through exercises such as building a calculator, creating a guessing game, and using APIs to gather data, you’ll apply your learning and gain confidence in real-world applications of Python. This specialization is ideal for beginners or those looking to expand their Python skills.
By the end, you’ll have the knowledge and experience to develop Python applications and solve complex programming challenges. You will be able to create and execute Python programs, develop applications with core Python structures, debug and handle errors, and integrate APIs while working with JSON data.
Syllabus
- Course 1: Foundations of Python Programming
- Course 2: Intermediate Python and Practical Skills
- Course 3: Advanced Python and Professional Development
Courses
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This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Take your Python skills to the next level with this advanced course designed for professionals looking to master Python programming. You'll learn how to set up and customize your development environment using Visual Studio Code (VSC), including powerful features like linting, code formatting, and debugging. The course also covers advanced Python concepts such as Object-Oriented Programming (OOP), including inheritance, static methods, and dunder methods, to help you create more efficient, maintainable, and scalable Python applications. Through hands-on exercises and real-world projects, you'll gain proficiency in using Python for professional development. You'll dive into creating multi-class systems, utilizing generator functions, and leveraging best practices in object-oriented programming to streamline your coding process. The course also introduces external tools, like pip and VSC extensions, to enhance your workflow and ensure clean, error-free code. This course is ideal for Python developers who have mastered the basics and want to learn how to develop professional-level applications. You will learn how to apply advanced techniques to improve code quality, use OOP principles effectively, and work with external libraries and tools. By the end of the course, you will be able to implement advanced Python techniques, optimize your development environment, manage object-oriented systems, and apply professional-grade best practices in your Python projects.
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This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will start by learning the fundamentals of Python programming. You will benefit from a solid understanding of Python syntax, including variables, operators, and data types, and you’ll quickly get hands-on experience working with Python scripts and functions. By working through practical exercises and examples, you’ll also become familiar with Python's role in solving real-world problems. As you progress, you’ll dive deeper into Python's more advanced features, such as conditional statements, loops, and data structures like lists, tuples, and dictionaries. The course takes you step-by-step through Python programming concepts, guiding you from basic syntax and operations to writing full-fledged Python programs, using conditional logic, loops, and list manipulation. This course is ideal for beginners in programming. No prior programming experience is required, but you should be ready to engage with code and complete hands-on exercises. The course is designed to develop practical skills that allow you to write Python scripts, understand key programming concepts, and solve real-world problems with Python. By the end of the course, you will be able to understand Python programming concepts, write Python code efficiently, use functions and libraries, perform data transformations, and debug your programs. You will also be capable of creating dynamic and interactive Python applications using loops, conditional logic, and complex data structures.
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This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you’ll advance your Python programming skills with a deep dive into essential concepts and practical applications. You will learn how to work with multi-module applications, explore performance measurement techniques, and master advanced function concepts like default arguments and lambda functions. The course focuses on optimizing your code and ensuring that it’s both readable and efficient. As you move forward, you’ll explore the power of Python's random module, develop applications that interact with external data through APIs, and handle file operations and exceptions gracefully. From mastering JSON data handling to understanding advanced file I/O, you'll develop the skills necessary to create robust and optimized Python applications for real-world scenarios. This course is perfect for those who have a basic understanding of Python and want to take their skills to the next level. It’s designed to provide hands-on practice with projects that involve web data, file manipulation, and API interactions, making it ideal for aspiring developers and data scientists. By the end of the course, you will be able to design complex Python applications using advanced features like multi-module structures, manage and manipulate JSON data, interact with external APIs, and handle errors and exceptions effectively in your programs.
Taught by
Packt - Course Instructors