Python Programming – SSWebTecIO
Python Programming
Learn Python from basics to advanced including variables, data types, operators, control flow, functions, OOP, file handling, modules, exceptions, libraries, database connectivity, APIs, GUI, and data science essentials.

Chapters

Introduction to Python
Overview of Python language, features, history, versions, installation, syntax basics, keywords, identifiers, comments, indentation, interpreter and first program.
Variables, Data Types & I/O
Variables, assignments, naming rules, built-in data types, type casting, constants, user input methods, and output formatting.
Operators & Expressions
Arithmetic, relational, logical, assignment, bitwise, membership, identity operators, precedence, associativity, and expression evaluation.
Conditional Statements
Decision making using if, if-else, if-elif-else, nested conditions, ternary operator with practical examples.
Loops and Iterations
Iteration using while and for loops, range function, nested loops, loop control statements, and else with loops.
Strings and Handling
String creation, indexing, slicing, methods, formatting, concatenation, immutability, searching, comparison, and escape characters.
Lists and Tuples
Working with lists and tuples, indexing, slicing, updating, methods, nested lists, iteration, packing, unpacking, and comparison.
Dictionaries and Sets
Dictionary and set creation, accessing elements, methods, nested structures, iteration, set operations, frozen sets.
Functions and Modules
Defining functions, arguments, return values, lambda, recursion, scope, modules, built-in and custom modules.
File Handling
File operations including read, write, append, file modes, with statement, CSV handling, file existence, and exceptions.
Exception Handling
Understanding errors and exceptions, try-except blocks, multiple exceptions, finally, and custom exceptions.
Object-Oriented Programming
Classes, objects, constructors, variables, methods, inheritance, polymorphism, encapsulation, abstraction, super, dunder methods.
Modules and Packages
Creating and using packages, importing modules, virtual environments, built-in packages, installing external libraries.
Regular Expressions
Regex basics, re module, pattern matching, metacharacters, special sequences, practical regex examples and projects.
Advanced Python Concepts
Iterators, generators, decorators, closures, comprehensions, map, filter, reduce, zip, enumerate, type hints, memory management.
Working with Libraries
NumPy fundamentals, mathematical operations, Pandas series and dataframes, data cleaning, aggregation, Matplotlib visualization.
Database Connectivity
Connecting Python with MySQL and SQLite, executing queries, fetching records, transactions, exception handling, mini DB project.
File Formats and APIs
Handling JSON, CSV, XML files, API basics, fetching data using requests, parsing responses, API dashboard project.
GUI Programming
GUI development using Tkinter, widgets, layouts, event handling, calculator app, form app, snake game projects.
Data Science & Machine Learning Intro
Introduction to data science, visualization, machine learning basics, linear regression, dataset handling, model training.
Web Development with Python
Flask and Django overview, Flask app setup, routing, templates, form handling, sessions, database integration.
Project & Practice
Hands-on mini projects including calculator, to-do list, student management, weather app, quiz system, final exam portal.