Python Programming: From Basics to Advanced Mastery

About Course

Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically typed and garbage-collected. It supports multiple programming paradigms, including structured, object-oriented and functional programming

Course Content

Introduction to Python Programming (10 hours)

Understanding the fundamentals of Python

00:00
Installing Python and setting up the development environment

00:00
Basic data types, variables, and operators

00:00
Control flow: conditionals and loops

00:00
Introduction to functions and modules

00:00

Data Structures and Algorithms (15 hours)

Object-Oriented Programming (20 hours)

Advanced Topics in Python (25 hours)

Web Development with Python (25 hours)

Data Science and Machine Learning (30 hours)

Testing and Debugging (10 hours)

Project Development (15 hours)

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About Course

Course Content

Introduction to Python Programming (10 hours)

Understanding the fundamentals of Python

Installing Python and setting up the development environment

Basic data types, variables, and operators

Control flow: conditionals and loops

Introduction to functions and modules

Data Structures and Algorithms (15 hours)

Lists, tuples, and dictionaries

Sets and frozensets

Strings and string manipulation

Understanding file handling

Introduction to algorithms: searching and sorting

Object-Oriented Programming (20 hours)

Concepts of object-oriented programming (OOP)

Classes, objects, and instances

Inheritance and polymorphism

Encapsulation and data hiding

Advanced OOP concepts: abstract classes, interfaces, and more

Advanced Topics in Python (25 hours)

Exception handling and error management

Regular expressions and pattern matching

File I/O operations: reading and writing files

Working with databases using Python

Multithreading and multiprocessing

Web Development with Python (25 hours)

Introduction to web development frameworks (e.g., Django, Flask)

Building web applications using Python

Creating dynamic web pages and handling forms

Database integration in web applications

Deploying a Python web application to a server

Data Science and Machine Learning (30 hours)

Introduction to data science and machine learning

Handling and analyzing data using Python libraries (e.g., NumPy, Pandas)

Data visualization with Matplotlib and Seaborn

Introduction to machine learning algorithms

Implementing machine learning models with Scikit-Learn

Testing and Debugging (10 hours)

Importance of testing in software development

Writing unit tests using Python’s testing frameworks

Debugging techniques and tools in Python

Best practices for code testing and debugging

Project Development (15 hours)

Collaborative project development using Python

Applying learned skills to solve real-world problems

Version control and project management tools (e.g., Git, GitHub)

Final project presentation and code review

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