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Python Programming & automation

The Python Programming & Automation Course is designed for students, freshers, working professionals, and job seekers who want to learn Python programming and automate real-world tasks.

Python is one of the most popular programming languages used in software development, data analytics, artificial intelligence, web development, and automation.

This course starts with Python fundamentals and gradually progresses to advanced programming concepts, file handling, database connectivity, web automation, API integration, and real-time projects.

Students will gain practical experience in writing Python programs, automating repetitive tasks, processing data, and developing useful applications.

Course Objective: To develop strong Python programming skills and prepare students for software development, automation, and other Python-based career opportunities.

Complete Course Syllabus

Module 1: Introduction to Python

  • Introduction to Python Programming

  • Features and Applications of Python

  • Installing Python

  • Python IDEs: VS Code, PyCharm, IDLE

  • Writing and Executing Python Programs

  • Python Syntax and Indentation

  • Comments and Documentation

  • Variables and Constants

  • Input and Output Functions

  • Python Operators

Module 2: Python Data Types

Data Type

Topics

Numeric

int, float, complex

String

String creation, indexing, slicing

List

List methods and operations

Tuple

Tuple creation and methods

Set

Set operations and methods

Dictionary

Key-value pairs and dictionary methods

Boolean

True and False values

Type Conversion

int(), float(), str(), list()

Module 3: Conditional Statements & Loops

  • if, elif, else Statements

  • Nested if Statements

  • for Loop

  • while Loop

  • range() Function

  • break and continue

  • pass Statement

  • Nested Loops

  • Loop Control Techniques

Module 4: Python Functions

  • Introduction to Functions

  • Creating and Calling Functions

  • Function Parameters and Arguments

  • Positional and Keyword Arguments

  • Default Arguments

  • Return Statement

  • Variable-Length Arguments

  • Lambda Functions

  • Recursive Functions

  • Built-in Functions

  • Scope of Variables

  • Modules and Packages

Module 5: Object-Oriented Programming (OOP)

  • Introduction to OOP

  • Classes and Objects

  • Constructors

  • Instance and Class Variables

  • Instance and Class Methods

  • Inheritance

  • Encapsulation

  • Polymorphism

  • Abstraction

  • Method Overriding

  • Magic Methods

Module 6: Exception Handling & File Handling

  • Introduction to Exceptions

  • try, except, else, finally

  • raise Statement

  • Custom Exceptions

  • File Handling

  • Reading and Writing Text Files

  • CSV File Handling

  • JSON File Handling

  • Working with Directories

  • pathlib and os Modules

  • Logging and Debugging

Module 7: Python Advanced Concepts

  • List Comprehensions

  • Dictionary Comprehensions

  • Generators

  • Iterators

  • Decorators

  • Regular Expressions

  • Date and Time Handling

  • Working with Modules

  • Virtual Environments

  • pip Package Management

  • Python Code Optimization

Module 8: Python Automation

This module focuses on automating repetitive tasks using Python.

File & Folder Automation

  • Automatic File Organization

  • Folder Creation and Management

  • File Renaming

  • File Copying and Moving

  • Duplicate File Detection

  • Bulk File Processing

Excel Automation

  • Read and Write Excel Files

  • Create Excel Reports

  • Automate Excel Data Entry

  • Merge Multiple Excel Files

  • Data Filtering and Formatting

  • Generate Automated Reports

  • Libraries: openpyxl, pandas

Email Automation

  • Sending Automated Emails

  • Email Attachments

  • SMTP Fundamentals

  • Automated Email Notifications

Web Automation

  • Browser Automation

  • Automatic Form Filling

  • Web Data Extraction

  • Browser Navigation

  • Selenium Fundamentals

  • Web Automation Testing

Desktop Automation

  • Keyboard and Mouse Automation

  • Screenshot Automation

  • Desktop Application Interaction

  • Libraries: pyautogui, pyperclip

System Automation

  • Process Management

  • Running System Commands

  • Scheduled Tasks

  • Backup Automation

  • Automated Log File Management

Module 9: Web Scraping & API Automation

  • Introduction to Web Scraping

  • HTML and CSS Selectors

  • BeautifulSoup

  • Requests Library

  • Extracting Website Data

  • API Fundamentals

  • REST API

  • GET, POST, PUT, DELETE

  • JSON Data Handling

  • API Authentication

  • Automating API Requests

  • Data Extraction and Storage

Module 10: Database Connectivity

  • Introduction to Databases

  • SQL Fundamentals

  • SQLite Database

  • MySQL Database Connectivity

  • CRUD Operations

  • Python Database Connection

  • Executing SQL Queries

  • Database Automation

  • Data Import and Export

Module 11: Testing & Deployment

  • Introduction to Software Testing

  • Unit Testing

  • unittest and pytest Fundamentals

  • Test Cases and Assertions

  • Debugging Python Programs

  • Git and GitHub

  • Python Application Deployment

  • Scheduling Python Scripts

  • Creating Executable Applications

  • Python Project Documentation

The syllabus builds on Python’s core language and standard library, including its official tutorial topics such as control flow, functions, data structures, file handling, modules, and virtual environments.

 

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