Free Python Basics Course for Beginners

Model real-world entities using Object-Oriented Programming (OOP). Define Classes as architectural blueprints and instantiate Objects with specific attributes (properties) and methods (behaviors).

Formulate step-by-step computational solutions using the Algorithmic Approach. Design logical sequences to process inputs, optimize mathematical operations, and generate accurate outputs for complex problems.

Configure a professional Python development environment. Install the Python interpreter, set up the PyCharm IDE, deploy Anaconda for package management, and launch Jupyter Notebooks.

Execute Python scripts interactively using Jupyter Notebook. Navigate the browser-based REPL (Read-Eval-Print Loop) environment for data analysis, code testing, and inline visualization.

Declare and initialize Python variables. Manage system memory dynamically by assigning primitive data types including integers (int), floating-point numbers (float), text (str), and logical values (bool).

Execute programmatic calculations using Python Operators. Apply Arithmetic operators for math, Relational operators for value comparison, and Logical operators (AND, OR, NOT) for complex Boolean evaluations.

Analyze the lexical components of Python syntax. Identify standard Python Tokens including reserved Keywords, user-defined Identifiers, hardcoded Literals, and functional Operators.

This module begins with an introduction to Python strings. You will learn to implement Python strings in 3 different ways in the Jupyter notebook. You will also be familiarized with some inbuilt string functions of Python. 
 

Data structures in Python include tuple, list, dictionary, set, conditional statement, and looping statement. This section shall enrich your knowledge on each of these with the code snippets in Jupyter Notebook. 

This section explains why and when to use “if-else” statements and demonstrates how to use them with an example.

This section explains why and when to use “loop” statements and demonstrates how to use them with an example.

This section shall define what functions are in Python and demonstrate how a block of code performs a targeted action with an ATM working example. 

This section shall begin by introducing you to OOPs, then continues by demonstrating how to create classes, adding parameters into the method, and constructors. You will then learn the concept of inheritance and understand its different types later in this section. 

Define a Python Class as a structural blueprint. Use the 'class' keyword to encapsulate related variables (attributes) and functions (methods) into a single, cohesive software entity.

Define interactive class behaviors using Python Methods. Pass parameters into methods and utilize the mandatory 'self' parameter to access and modify instance-specific attributes.

Initialize object state upon instantiation using Python Constructors. Define the init dunder method to automatically assign initial values to instance attributes when a new object is created.

Promote code reusability using Python Inheritance. Create Child classes that inherit attributes and methods from a Parent (Base) class to extend application functionality efficiently without redundant coding.

Architect complex class hierarchies. Implement Single, Multiple, Multi-Level, and Hybrid inheritance models in Python to establish sophisticated parent-child relationship chains and Method Resolution Orders (MRO).