Python: Difference between revisions

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# [[Understand how to output text strings]]
# [[Understand how to output text strings]]
## [[Managing exceptions in Python]]
## [[Exceptions and pre-conditions]]
# [[Understand how to input strings and numbers into variables]]
# [[Understand how to input strings and numbers into variables]]
## [[Variable scope in Python]]
## [[Variable scope in Python]]

Revision as of 10:58, 19 August 2021

Python programming language[1]


Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.[2]


 Please click here for an excellent resource for learning python

Please click here for our python cheatsheet


Python is our language of choice.

  1. It is the CS introductory programming language in many universities
  2. It has an especially clear syntax
  3. We get to logical thinking over syntax issues much faster
  4. The language is well-supported
  5. Library management is a straight forward
  6. The language is very powerful for solving complex problems


Basic ideas

These ideas follow our programming guide, linked above.

  1. Understand how to output text strings
    1. Exceptions and pre-conditions
  2. Understand how to input strings and numbers into variables
    1. Variable scope in Python
  3. Understand string manipulation functions
  4. String manipulation functions
  5. Understand how to use selection statements
  6. How to use selection statements
  7. Understand how to use arithmetic operations and random numbers
  8. Understand counter controlled iterations
  9. Understand condition controlled iterations
  10. Understand subroutines, procedures and functions
  11. Understand arrays and lists
  12. Understand serial files
  13. How to handle exceptions for validation
    1. Managing exceptions in Python
  14. Understand dictionaries

References