Python 101

Master Python programming from fundamentals to advanced concepts. Learn problem-solving, automation, APIs, and data analysis while building practical projects that prepare you for careers in software development and data science

Course Content

Introduction & Basics

History and Features of Python
Installation and IDEs
Writing First Program
Python Interpreter vs Script Mode
Variables, Data Types, Type Casting
Input/Output
Comments

Operators & Control Flow

Data Structures – Strings, Lists, Tuples, Sets

Data Structures – Dictionaries

Functions, Modules & Packages

Exception Handling & File I/O

Object-Oriented Programming

Advanced Python Concepts

Working with Libraries & Data Visualization

Virtual Environments & Mini Project

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What Will You Learn?

Course Content

Introduction & Basics

History and Features of Python

Installation and IDEs

Writing First Program

Python Interpreter vs Script Mode

Variables, Data Types, Type Casting

Input/Output

Comments

Operators & Control Flow

Arithmetic, Relational, Logical, Bitwise, Assignment, Membership, Identity Operators

Conditional statements (if, if-else, if-elif-else, Nested if)

Loops (for, while)

break, continue, pass

Data Structures – Strings, Lists, Tuples, Sets

String operations, slicing, methods, formatting, f-strings

Lists: creation, indexing, slicing, methods, nested lists, list comprehension

Tuples: creation, immutability, operations

Sets: creation, operations, methods

Data Structures – Dictionaries

Dictionary creation and accessing values

Dictionary methods

Looping through dictionaries

Nested dictionaries

Functions, Modules & Packages

Defining functions

Arguments (positional, keyword, default, variable-length)

Return values

Variable scope

Importing modules

Built-in modules (math, random, datetime)

Creating user-defined modules

Introduction to pip and packages

Exception Handling & File I/O

try-except, finally, else, raise

Custom exceptions

Opening/Closing files

Read/Write operations

File modes

Context manager (with

Object-Oriented Programming

Classes and Objects

Attributes and Methods

Constructor

Inheritance

Encapsulation

Polymorphism

Advanced Python Concepts

Iterators

Generators (yield)

Decorators

Lambda functions

List and Dict comprehensions

Working with Libraries & Data Visualization

Numpy basics

Pandas basics (DataFrames, Series, basic operations)

Matplotlib basics (plotting, labels, titles)

Seaborn basics (optional)

Virtual Environments & Mini Project

Creating and managing virtual environments

Installing dependencies

End-to-end small project (e.g., Student Management System, Expense Tracker, Data Analysis project)

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