This course utilizes the power and flexibility of the Python language to apply practical programming strategies such as the functional paradigm, modularity, parallelism, concurrency, metaprogramming, reactive programming, microservices, and design patterns.
Students will learn when and how to apply their knowledge and understanding to achieve optimal solutions to a variety of software problems. Prior knowledge of the Python language is required for this course. To prepare for this course, students should take Intro to Programming Python and Python Programming Fundamentals or its equivalent.
- Functional Programming
- Unit Testing
- Parallelism and Concurrency
- Reactive Programming
- Design Patterns
- Organize code elements into logically related and lucidly defined packages, modules, and components
- Develop metaprogramming software features
- Assemble unit tests
- Employ concurrency
- Recognize opportunities for reactive programming approaches
- Identify applications that can benefit from a microservices-oriented design
- Select and implement design patterns within appropriate contexts
Software: Anaconda, Visual Studio Code, Jupyter Notebook
Hardware: Computer with Windows or Mac OS preferred
Optional reading: Online articles shared in class
Course typically offered: Online, quarterly.
Prerequisites: Prior knowledge of the Python language is required for this course. Students should have completed Intro to Programming Python and Python Programming Fundamentals or its equivalent before taking this course.
Next steps: Upon completion, consider additional coursework in our specialized certificate in Python Programming to continue learning.
Contact: For more information about this course, please contact email@example.com.
Course Number: CSE-41310
Credit: 3.00 unit(s)
Related Certificate Programs: Python Programming
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7/9/2019 - 9/3/2019