Course syllabus

Module 1 – Introduction to Python and Computer Programming

• Python – a tool, not a reptile
• There is more than one Python
• Let’s start our Python adventure

Module 2 – Data Types, Variables, Basic Input-Output Operations, Basic Operators

• Your first program
• Python literals
• Operators – data manipulation tools
• Variables – data-shaped boxes
• How to talk to computer?

Module 3 – Boolean Values, Conditional Execution, Loops, Lists and List Processing, Logical and Bitwise Operations

• Making decisions in Python
• Python’s loops
• Logic and bit operations in Python
• Lists – collections of data
• Sorting simple lists – the bubble sort algorithm
• Lists – some more details
• Lists in advanced applications

Module 4 – Functions, Tuples, Dictionaries, and Data Processing

• Writing functions in Python
• How functions communicate with their environment?
• Returning a result from a function
• Scopes in Python
• Let’s make some fun… sorry, functions
• Tuples and dictionaries

Module 5 – Modules, Packages, String and List Methods, and Exceptions

• Using modules
• Some useful modules
• What is package?
• Errors – the programmer’s daily bread
• The anatomy of exception
• Some of the most useful exceptions
• Characters and strings vs. computers
• Python’s nature of strings
• String methods
• Strings in action
• Four simple programs

Module 6 – The Object-Oriented Approach: Classes, Methods, Objects, and the Standard Objective Features; Exception Handling, and Working with Files

• Basic concepts of object programming
• A short journey from procedural to object approach
• Properties
• Methods
• Inheritance – one of object programming foundations
• Exceptions once again
• Generators and closures
• Processing files
• Working with real files