Python Full Stack course

Course Duration: 160h

In this Python Full Stack course, you will learn the fundamentals of programming with Python, covering key concepts such as variables, data types, operators, control flow, and functions. You'll dive into object-oriented programming (OOP) to understand classes, objects, and key OOP principles like inheritance and polymorphism. Additionally, you'll explore Python's powerful data structures, including lists, sets, tuples, and dictionaries, and gain practical experience with exception handling and regular expressions. The course also covers advanced topics like multi-threading, file handling, and working with databases, providing a comprehensive foundation for building full-stack applications. Finally, you will gain hands-on experience with web development frameworks like Django, Git, and RESTful services to create real-time projects and applications.

Course Curriculum

Introduction to Programming Languages

What is a programming language?
Types of languages
Translators: Compiler vs. Interpreter
Python Comments
scripting vs Programming Languages
Programming paradigms

Python Basics

Python Data Types & Variables

Operators & Control Statements

Data Structures and Collections

Functions and Lambda Expressions

Object-Oriented Programming (OOP)

Exception Handling and Regular Expressions

Modules, Packages, and File Handling

Advanced Python Concepts

Python Full Stack course

What I will learn?

Course Curriculum

Introduction to Programming Languages

What is a programming language?

Types of languages

Translators: Compiler vs. Interpreter

Python Comments

scripting vs Programming Languages

Programming paradigms

Python Basics

Python features: Dynamic, Interpreted, Object-oriented

Python history and evolution

Limitations of Python

PSF (Python Software Foundation)

Python implementations and versions

Python applications

Python Data Types & Variables

Keywords and Identifiers

Constants and Literals

Data types in Python

Python Syntax

String formatting

Python vs Java comparison

Operators & Control Statements

Arithmetic, Comparison, Assignment Operators

Logical, Bitwise, and Membership Operators

Conditional Statements (if, else, elif)

Loops (for, while, nested loops)

Branching Statements (break, continue, pass)

Operator precedence and difference between “is” vs “==”

Data Structures and Collections

Introduction to Data Structures

Strings, Lists, Tuples, Sets, and Dictionaries

Methods and operations on collections

Mutability vs Immutability

List comprehensions and zip function

Working with tuples and frozen sets

Functions and Lambda Expressions

Defining and calling functions

Arguments in functions: Default, Positional, Keyword

Recursion and Lambda functions

map(), filter(), reduce()

Nested functions and closures

Decorators in Python

Object-Oriented Programming (OOP)

Introduction to OOP

Classes and Objects

Encapsulation, Abstraction, and Polymorphism

Inheritance (single, multi-level, multiple)

Method Overloading and Overriding

Constructors and the super() function

Exception Handling and Regular Expressions

Syntax and Runtime Errors

Handling exceptions using try, except, finally

Custom exceptions and the raise keyword

Introduction to Regular Expressions

Functions in re module: match(), search(), split()

Case study of regular expressions

Modules, Packages, and File Handling

Python modules and user-defined modules

Importing and renaming modules

Python packages and pip usage

File handling: reading, writing, appending files

Working with CSV and JSON files

Object serialization with pickle module

Advanced Python Concepts

Multi-threading and Multi-processing

Shell scripting with Python

Logging in Python

OS module and file system operations

Introduction to GUI programming with Tkinter

Introduction to databases and Python DB-API (MySQL, Oracle)

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