Python

Introduction to Python

Python is a versatile, high-level programming language that is widely used for various applications, from web development to scientific computing. It was created by Guido van Rossum and first released in 1991. Python's design philosophy emphasizes code readability and simplicity, making it an excellent language for beginners while also being powerful enough for experienced developers.


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

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