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LinkedIn Learning

Python for Health Sciences and Healthcare

via LinkedIn Learning

Overview

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Find out how you can use Python programming in the context of health care and health science.

Syllabus

Introduction
  • Learn Python for healthcare
  • Python for health sciences and healthcare
1. General Programming Concepts
  • What is programming?
  • What are programming languages?
  • Code editors
  • Integrated development environment software (IDEs)
  • Modules, libraries, packages, and systems
  • Code versioning
  • Version control and repositories
  • Package managers and installers
  • What is Python?
  • Python naming convention
  • Python keywords
2. Setup and Workspace
  • Colaboratory notebook (online)
  • An overview of the Coderpad coding challenges
3. Python File Handling
  • Open Python file
  • Write Python file
  • Read Python file
4. Basic Python Data Type
  • Numeric data
  • String data
  • Boolean
5. Basic Python Data Structures
  • Lists
  • Tuples
  • Sets
  • Dictionaries
  • Solution: Remove an element from a list
  • Solution: Create a set from a list
6. Basic Operations in Python
  • Arithmetic operations
  • Comparison operations
  • Logical operations
  • Solution: Repeat string by integer multiplication
  • Solution: Integer floor division
7. Python Functions and Statements
  • Functions
  • Conditional statements
  • For loops
  • Solution: Define a function
  • Solution: Iterate over a list with for loop
8. Built-in Functions and Other Operations in Python
  • Length and count function
  • Minimum and maximum function
  • Range and sum function
  • String case functions
  • Split and join function
  • Strip and replace function
  • Zip function
  • Map function
  • Slicing
  • String formatting
  • Solution: Return maximum value from a tuple
  • Solution: Print elements in a list in lowercase
  • Solution: Zip two lists
  • Solution: Get list element using negative indexing
9. Code Documentation in Python
  • Comments
  • Docstring
  • Error messages
  • Official Python documentation
10. Libraries
  • Import statement and aliasing
  • Install and uninstall Python libraries
  • Python data analysis libraries
Conclusion
  • Next steps

Taught by

Wuraola Oyewusi

Reviews

4.7 rating at LinkedIn Learning based on 208 ratings

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