Introduction to Python end Computer Programming

1.1.1. Python as a modern, universal and growing programming language;
1.1.2. Python versions and language development;
1.1.3. Brief review of tools and environments needed to start programming in Python.

Dota Types, Variables, Basic Input-Output Operations, Basic Operators

1.2.1 How to write and run the very first Python program;
1.2.2 Python literals;
1.2.3 Python operators and expressions;
1.2.4 Variables - naming and using;
1.2.5 Basic input / output operations in Python.

Boolean Values, Conditional Execution, Loops, Lists and List Processing, Logic and Bitwise Operations

1.3.1 Boolean data type;
1.3.2 Relational operators in Python;
1.3.3 Decision making in Python: if, if-else, if-elif-else;
1.3.4 Repeating code execution using loops: while and for;
1.3.5 Logic and bitwise operations in Python;
1.3.6 Lists in Python: constructing, indexing, slicing and content management;
1.3.7 How to sort a list using a bubble-sort algorithm;
1.3.8 Multidimensional lists and their applications.

Functions, Tuples, Dictionaries, and Data Processing

1.4.1 Code structuring and the concept of functions;
1.4.2 Function invocation and returning a result from a function;
1.4.3 Name scopes and variable shadowing;
1.4.4 Tuples - purpose, constructing and using;
1.4.5 Dictionaries - purpose, constructing and using.

Modules, Packages and PIP

2.1.1 What is a module and why do we need it?
2.1.2 Importing and using modules;
2.1.3 Review of some useful Python modules;
2.1.4 What is a package and how does it differ from a module?
2.1.5 Constructing and using packages;
2.1.6 PIP - the Swiss army knife for package maintenance.

Exceptions, Strings, String and List Methods

2.2.1 Characters, strings and coding standards;
2.2.2 Strings vs. lists - similarities and differences;
2.2.3 List methods;
2.2.4 String methods;
2.2.5 Python's way of handling runtime errors;
2.2.6 Controlling the flow of errors using try and except;
2.2.7 Hierarchy of exceptions.

Object Oriented Programming in Python

2.3.1 Basic concepts of object programming;
2.3.2 From procedural to object approach - motivations and profits;
2.3.3 Classes, objects, properties and methods;
2.3.4 Inheritance and polymorphism;
2.3.5 Exception as an object.

Miscellaneous

2.4.1 Generators, iterators and closures;
2.4.2 Working with filesystem, directory trees and files;
2.4.3 Selected Python Standard Library modules (os, date, datetime, calendar).