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.
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.
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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4/4/2023 - 6/3/2023
This course is entirely web-based and to be completed asynchronously between the published course start and end dates. Synchronous attendance is NOT required.
You will have access to your online course on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
Schurter, Bruce E., Principal Software Engineer - Wildcat Discovery Technologies
Learning Python 5th
by Mark Lutz
ISBN / ASIN: 9781449355739
You may purchase textbooks via the UC San Diego Bookstore.
No refunds after: 4/10/2023.
4/4/2023 - 6/3/2023
You will have access to your course materials on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
There are no sections of this course currently scheduled. Please contact the Science & Technology department at 858-534-3229 or firstname.lastname@example.org for information about when this course will be offered again.