What Is an Edge Case?
January 31, 2024
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This course is part of The Complete Quantum Computing Course for Beginners Specialization
Instructor: Packt - Course Instructors
Included with
Recommended experience
Beginner level
This beginner-friendly course teaches Python programming with a focus on quantum computing, ideal for those with basic computer skills.
Recommended experience
Beginner level
This beginner-friendly course teaches Python programming with a focus on quantum computing, ideal for those with basic computer skills.
Set up Python on any OS and understand core programming concepts, including variables and data types.
Analyze and apply control flow tools like if statements and loops to solve logical problems in Python efficiently.
Develop and apply functions and object-oriented programming concepts, including classes, inheritance, and methods.
Create Python modules and evaluate error-handling strategies to build robust and efficient programs.
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This course is designed to provide a solid foundation in Python programming, tailored for individuals interested in quantum computing. The first section begins with an introduction to Python from scratch, walking you through the installation of Anaconda on both Windows and macOS, followed by an overview of Python’s core concepts. You’ll learn to write your first code using numbers, variables, strings, and more advanced data types like lists, dictionaries, and tuples. By the end of this section, you'll have set up your environment and mastered key programming basics with practical hands-on coding in Jupyter notebooks.
In the second section, the focus shifts to control flow and data manipulation. You’ll explore Boolean values, logical comparisons, and conditional if statements, essential for writing decision-based programs. This section also covers loops (for and while) and the crucial commands such as break, continue, and pass, enabling you to manage complex iteration scenarios. By diving into practical use cases, you’ll also enhance your ability to manipulate data structures like lists. Furthermore, this section includes introductions to Python methods, zip, and random functions—tools that will help streamline your coding experience. The final section delves into more advanced topics like functions and object-oriented programming (OOP). You’ll start with basic function definitions, input/output handling, and advance to the practical use of functions in more complex scenarios. The object-oriented section introduces you to classes, methods, inheritance, and error handling, all crucial for building scalable, efficient Python programs. You’ll also learn about working with external libraries and creating your own Python modules, preparing you for more advanced programming challenges in quantum computing and beyond. This course is perfect for beginners who want to learn Python programming with a focus on quantum computing. It is suitable for anyone with a basic understanding of computers and no prior programming experience. Those with an interest in Python for data science, machine learning, or quantum computing will benefit from this foundational course.
In this module, we will focus on setting up your Python environment and building a strong foundation in core Python concepts. From installing Anaconda to writing your first Python code, you'll explore basic data types and structures, laying the groundwork for advanced programming in Python.
14 videos2 readings
In this module, we will explore how Python handles control flow and data manipulation. You will learn to work with if statements, loops, and logical comparisons, along with practical tips for real-world usage. Additionally, you'll dive deeper into advanced list techniques and methods for handling different data types.
14 videos
In this module, we will delve into Python’s functions and object-oriented programming (OOP) features. You will explore how to create and use functions, understand the scope, and handle errors efficiently. Furthermore, you will work with classes and inheritance, and learn to utilize libraries and write your own Python modules.
16 videos1 reading1 assignment
Packt helps tech professionals put software to work by distilling and sharing the working knowledge of their peers. Packt is an established global technical learning content provider, founded in Birmingham, UK, with over twenty years of experience delivering premium, rich content from groundbreaking authors on a wide range of emerging and popular technologies.
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Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.
This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.