Python Samples

Download the scripts listed below and run them from the command line on your laptop or on the lab machines.

• Basics: (read up on these examples in the Python Tutorial)
  • Hello World
  • Sign test
  • Fibonacci
  • Immutable strings
  • Clear list
  • Several wrong versions of computing a sum
  • Default arguments 1 and Default arguments 2 and Default arguments 3
  • Prime Numbers
  • Lambda expressions and Lambda expressions
  • Another Fibonacci
  • Annotations of function arguments
  • Test numpy library
  • hypothesis example 1, hypothesis example 2
  • Exercise: Implement several very simple list-based examples, starting from this skeleton file list1_skel.py
  • Exercise: Implement several more list-based examples, starting from this skeleton file list2_skel.py
  • Exercise: Implement integer factorisation, starting from this skeleton file factor_skel.py
  • Exercise: Implement matrix multiplication (from the basic C# exercises), using the numpy library from the previous example
  • all intro samples in a .zip file
• Data structures:
  • Simple Dictionary
  • Dictionary and JSON files
  • Dictionary and JSON files (pick up this file of names)
• Classes:
  • class1.py
  • class2.py
  • class3.py
  • Bank account example
  • Exercise: Go to the Python Online Tutor web page, and do the introductory object-oriented programming exercises (OOP1, OOP2, OOP3). (These are very basic, beginner's exercises)
  • Exercise: Implement a container class with methods for adding an element, extending with a list and a check for contains, and then implement a sub-class for a container that avoids adding duplicates (with the same methods). Start from this skeleton file containerNoDup_skel.py.
  • Exercise: Implement the binary search tree example (from the basic C# exercises), with insert and search functions
• Advanced Language Features:
  • exc1.py
  • exc2.py
  • exc3.py
  • static1.py
  • static2.py
  • static.py
  • props1.py
  • vector1.py
  • vector2.py
  • vector3.py
  • vector4.py
  • vector5.py
  • vector6.py
  • iter1.py
  • iter2.py
  • iter3.py
  • interpret1.py
  • compile1.py
  • memofib.py (memoisation; function-based)
  • memofib_class.py (memoisation; class-based)
• Functional Programming in Python (see Functional Programming in Python by David Mertz):
  • Generator comprehensions
  • Lazy data structures (Prime numbers)
  • Example: population of top 50 Scottish cities (bash 1-liner) (see List of Scottish Cities and Python script for the data analytics part)
  • Rock-Paper-Scissors example (of multiple-dispatch) (and here a Haskell version of the Rock-Paper-Scissors example)
• Advanced Language Features and Library Usage:
  • JSON example (pick up this file of names)
  • tkinter example
  • Regular expression examples
  • Histogram examples using matplotlib (Python 2 version)
• Revision (see also simple_histo.py for a simple higher-order fct example):
  • Case study of higher-order functions: sorting