Python is a versatile and powerful programming language with a wide variety of libraries and third-party packages that can be applied to deep learning, fuzzy text processing, bioinformatics, web development, web scraping, and more.
Building off of Introduction to Programming (Python), this course will cover many unique features that make Python such a popular language, and will go beyond just "the basics." Upon completion of the course, students will gain experience in the full development life cycle using the Python programming language.
- Best practices for coding style and documentation
- Comprehensions and iteration
- Files, context managers and fake files
- Python's wide variety of libraries and third-party packages
- Object-oriented programming, testing and test-driven development concepts
- The Pythonic method to handle common computer science abstractions
At the end of the course, students will be able to:
- Set up working project environments
- Write command-line programs with documentation
- Make portable Python modules that can be integrated with other programs
- Create unit tests and follow test-driven development principles
PrerequisitesXLRN 801.CODE - Introduction to Programming, or demonstration of equivalency.
NotesYou 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.
Software required: Anaconda, Visual Studio Code, Jupyter Notebook.
Hardware required: Computer with Windows or Mac OS preferred.
Applies Towards the Following Certificates
- Python Programming : Required Courses