Python for AI

🐍 Python Programming – Detailed Curriculum

Module 1: Introduction to Python What is Python? History and features of Python Why learn Python? Python applications Python versions Installing Python Python IDLE VS Code / PyCharm setup Running the first Python program Python syntax and indentation Comments and documentation Module 2: Python Fundamentals Variables Constants Keywords Identifiers Data types int float complex str bool None Type conversion type() function Input and output print() input() Basic operators Module 3: Operators Arithmetic operators Assignment operators Comparison operators Logical operators Bitwise operators Membership operators Identity operators Operator precedence Module 4: Strings Creating strings String indexing String slicing String concatenation String formatting f-strings Escape characters Common string methods Searching and replacing text Splitting and joining strings Module 5: Conditional Statements if if...else if...elif...else Nested conditions Conditional expressions Practical examples Module 6: Loops for loop while loop Nested loops break continue pass range() Loop-based programming exercises Module 7: Lists Creating lists Indexing and slicing Adding and removing elements Updating lists List methods Nested lists List iteration List comprehension Module 8: Tuples, Sets & Dictionaries Tuples Creating tuples Tuple operations Tuple methods Packing and unpacking Sets Creating sets Set operations Union, intersection and difference Set methods Dictionaries Keys and values Adding/updating elements Dictionary methods Nested dictionaries Dictionary comprehension Module 9: Functions What is a function? Defining functions Function parameters Arguments Return values Default arguments Keyword arguments *args **kwargs Scope of variables Local and global variables Lambda functions Recursion Module 10: Modules & Packages What is a module? Creating custom modules import from...import Python standard library Packages Installing packages using pip Virtual environments Module 11: File Handling Opening files Reading files Writing files Appending data File modes Working with TXT files CSV files JSON files File and directory management Module 12: Exception Handling Errors vs exceptions try except else finally Multiple exceptions Raising exceptions Custom exceptions Module 13: Object-Oriented Programming Introduction to OOP Classes and objects Constructors Instance variables Class variables Methods Encapsulation Inheritance Multiple inheritance Polymorphism Method overriding Abstract classes Module 14: Python Advanced Concepts Iterators Generators Decorators Context managers map() filter() reduce() zip() enumerate() Regular expressions Date and time Working with environment variables Module 15: Database Programming Introduction to databases SQLite with Python Creating databases Creating tables INSERT SELECT UPDATE DELETE CRUD applications Connecting Python with MySQL/MariaDB Database security basics Module 16: Web Development with Python Introduction to web development HTTP basics Flask introduction Creating a Flask application Routes Templates Forms GET and POST REST API basics JSON APIs Connecting Flask with databases Module 17: Python for Automation What is automation? File automation Folder management Excel automation CSV automation PDF automation Email automation Web automation System administration scripts Scheduled Python tasks Module 18: Python for Data Analysis NumPy introduction Pandas introduction Series and DataFrames Reading CSV/Excel files Data cleaning Filtering and sorting Data aggregation Matplotlib Creating charts and graphs Module 19: Python for Cyber Security Python for security automation Working with IP addresses Socket programming Network scanning concepts HTTP requests Working with APIs Log analysis Hashing Encryption concepts Password-security demonstrations Security automation scripts Module 20: Real-World Projects Students should complete practical projects such as: Student Management System Library Management System Employee Management System Billing System Quiz Application Expense Tracker File Organizer Automation Excel/CSV Data Processing Tool Python + MySQL CRUD Application Flask Web Application REST API Project Log Analysis & Security Monitoring Tool Suggested Course Structure Level Modules Focus Beginner 1–8 Python fundamentals Intermediate 9–13 Functions, files, OOP Advanced 14–17 Advanced Python, databases, web & automation Professional 18–19 Data analysis & cybersecurity Project 20 Real-world applications Recommended duration: 12–16 weeks Practical: 60% Theory: 40% Assessment: Quizzes + coding assignments + mini projects + final project.