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Course Description

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

Faculty Author

Chris Myers

Benefits to the Learner

  • 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

Target Audience

  • Data analysts and business analysts
  • Database managers
  • Technical and systems analysts
  • Programmers interested in data science
  • Marketers
  • Business managers
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Cornell Center for Advanced Computing
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