Python Programming – Beginner to Master

Requirement

• No prior programming knowledge required
• Basic computer knowledge is helpful
• Laptop/Desktop recommended for practice

Course Content

Module 1: Introduction to Python

• What is Python & Use Cases
• History & Ecosystem
• Installation (Windows, Mac, Linux)
• IDEs: PyCharm, VS Code, Jupyter, Colab
• Writing Your First Python Program

 Module 2: Python Fundamentals

• Variables & Data Types
• Input / Output Statements
• Comments in Python
• Operators in Python

Module 3: Control Flow

• if, elif, else Statements
• for Loop
• while Loop
• break, continue, pass

Module 4: Functions

• Defining Functions
• Function Arguments (All Types)
• Return Values
• Lambda Functions
• Variable Scope (Local, Global, Nonlocal)
• Recursion

Module 5: Data Structures

• Strings & String Methods
• String Formatting
• Lists
• Tuples
• Sets
• Dictionaries
• Basic Sorting & Searching

Module 6: Problem Solving & Logic Building

• Pattern Problems
• Basic Algorithms
• Time Complexity (Introduction)
• Coding Exercises & Practice

Module 7: Modules & Packages

• Importing Modules
• Python Standard Library
• Creating Packages
• pip Usage
• Virtual Environments

Module 8: File Handling & OS

• File Operations
• Working with CSV Files
• Working with JSON Files
• Context Managers
• OS Module Basics

Module 9: Exception Handling

• try / except / finally
• Handling Multiple Exceptions
• Custom Exceptions

Module 10: Object-Oriented Programming (OOP)

• Classes & Objects
• Constructors
• Inheritance
• Polymorphism
• Encapsulation
• Abstraction
• Dunder Methods

Module 11: Debugging & Best Practices

• Debugging Techniques
• Logging in Python
• Code Readability (PEP8)
• Virtual Environments
• Introduction to pytest

Module 12: Project Work

• Calculator CLI App
• File Organizer
• Password Generator

Specialization Tracks

After completing the Python Core modules, students can choose one specialization field.

Python – For Web Development

• Flask Framework
  • Django Framework
  • FastAPI Basics
  • REST API Development
  • Database Integration
  • Authentication Basics
• Project Examples:
  • REST API Project
  • Blog Website
  • Student Management System

Python – For AI / Machine Learning

• Introduction to AI & ML
• NumPy & Pandas
• Data Preprocessing
• Machine Learning Algorithms
• Model Training Basics
• Introduction to Deep Learning
• Project Examples:
  • Basic Chatbot
  • House Price Prediction
  • Student Result Prediction

Python – For Data Science & Data Analytics

• Data Analysis with Pandas
• Data Visualization
• NumPy Basics
• Working with CSV/Excel Data
• Statistics Basics
• Dashboard & Reporting Basics
• Project Examples
  • Business Report Analysis
  • Sales Data Analysis
  • Employee Data Dashboard

Why Choose Cloudiofy?

• Beginner-Friendly Teaching
• Industry-Oriented Curriculum
• Practical Learning Approach
• Real-Time Coding Practice
• Affordable Fees
• Flexible Batch Timings
• Personal Attention
• Supportive Learning Environment
• Career Guidance & Project Support