Writing Custom Python Functions, Classes, and WorkflowsCornell Course
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Cornell CourseWriting Custom Python Functions, Classes, and Workflows ()
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Course Overview
This course introduces you to the different scenarios in which you will utilize built-in Python functions, classes, and data types as opposed to creating your own or using a combination of built-in and custom-built capabilities. You will gain experience working with both built-in and custom-built functions, classes, and data types. Through practice and application of these basic building blocks/tools, you will gain an in-depth understanding of how these aspects of Python interoperate to create useful programs.
You are required to have completed the following course or have equivalent experience before taking this course:
- Constructing Expressions in Python
Key Course Takeaways
- Articulate when to use a built-in Python data type or function vs. when to create something new
- Write custom Python functions
- Use basic elements of Python control flow and iteration in Python
- Dive into Python container data types
- Create new custom Python data types with classes
- Craft numerical calculations in Python
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Course Length
3 weeks
Effort
3-5 hours per week
Format
100% online, instructor-led
Course Author
Chris Myers
Adjunct Professor
Cornell University Center for Advanced Computing
Senior Research Associate / Adjunct Professor Cornell University Center for Advanced Computing
Bio coming soon
Who Should Enroll
- Data analysts and business analysts
- Database managers
- Technical and systems analysts
- Programmers interested in data science
- Marketers
- Business managers
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