Get Started with Complete Core Python Master Program (Beginner to Advanced Language Mastery)

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Programming

Complete Core Python Master Program (Beginner to Advanced Language Mastery)

Complete Core Python Master Program covering Python Fundamentals (Introduction, Variables & Data Types, Operators, I/O), Control Flow (Conditionals, Loops, Patterns), Data Structures (Strings, Lists, Tuples, Sets, Dictionaries), Functions & Functional Programming, OOP (Basics, Concepts, Magic Methods, Class/Static), Files & Exception Handling, and Advanced Core (Iterators, Generators, Decorators, Context Managers, Regex, Modules, Virtual Environments).

Modules 27
Timeline 3 Months
Updated 3 weeks ago
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1

Introduction to Python

What is Python, features, installation & setup, interpreter, running scripts, comments & documentation.

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Learning objectives: • Understand Python and its features • Install and set up Python • Run scripts and use comments and documentation
2

Variables & Data Types

Variables, naming rules, dynamic typing; int, float, bool, str, NoneType; type checking and casting.

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Learning objectives: • Use variables and follow naming rules • Work with dynamic typing and all core data types • Apply type checking and casting
3

Operators

Arithmetic, comparison, logical, assignment, bitwise, identity, membership operators; operator precedence.

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Learning objectives: • Use arithmetic, comparison, logical, assignment operators • Apply bitwise, identity, membership operators • Understand operator precedence
4

Input & Output

input(), print() formatting, f-strings, format(), escape sequences.

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Learning objectives: • Use input() and print() effectively • Apply f-strings and format() • Use escape sequences
5

Conditional Statements

if, if-else, elif, nested conditions, ternary operator.

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Learning objectives: • Write if, if-else, elif and nested conditions • Use ternary operator
6

Loops

while, for, range(), break, continue, pass, nested loops.

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Learning objectives: • Use while and for loops with range() • Apply break, continue, pass and nested loops
7

Loop Control & Patterns

Pattern printing, number patterns, star patterns, logical patterns.

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Learning objectives: • Print number, star, and logical patterns using loops
8

Strings (Deep Dive)

String creation, indexing, slicing, methods, immutability, formatting, encoding & decoding.

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Learning objectives: • Create and manipulate strings with indexing and slicing • Use string methods and formatting • Understand immutability and encoding
9

Lists

List creation, indexing & slicing, methods, list comprehension, nested lists, copying.

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Learning objectives: • Create and manipulate lists • Use list comprehension and nested lists • Copy lists correctly
10

Tuples

Tuple creation, packing & unpacking, methods, immutability.

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Learning objectives: • Create and use tuples with packing and unpacking • Apply tuple methods and understand immutability
11

Sets

Set creation, methods, union, intersection, difference, frozenset.

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Learning objectives: • Create and use sets and set operations • Apply frozenset
12

Dictionaries

Dictionary creation, keys & values, methods, nested dicts, dictionary comprehension.

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Learning objectives: • Create and use dictionaries • Apply methods and nested dictionaries • Use dictionary comprehension
13

Functions

Defining functions; parameters & arguments (positional, keyword, default, *args, **kwargs); return; recursion.

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Learning objectives: • Define functions with all argument types • Use return and recursion
14

Scope & Namespace

Local, global scope; nonlocal keyword; LEGB rule.

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Learning objectives: • Understand local and global scope • Use nonlocal and apply LEGB rule
15

OOP Basics

Classes, objects, attributes, methods, constructors (__init__).

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Learning objectives: • Define classes and create objects • Use attributes, methods, and __init__
16

OOP Concepts

Encapsulation, inheritance, multiple inheritance, method overriding, polymorphism, abstraction.

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Learning objectives: • Apply encapsulation, inheritance, multiple inheritance • Use method overriding, polymorphism, abstraction
17

Special (Magic/Dunder) Methods

__init__, __str__, __repr__, __len__, __add__; operator overloading.

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Learning objectives: • Implement __init__, __str__, __repr__, __len__, __add__ • Apply operator overloading
18

Class & Static Methods

@classmethod, @staticmethod; instance vs class variables.

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Learning objectives: • Use @classmethod and @staticmethod • Distinguish instance vs class variables
19

File Handling

Opening, reading, writing files; file modes; with statement; text files.

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Learning objectives: • Open, read, and write files with correct modes • Use with statement for text files
20

Exception Handling

try, except, else, finally; raising exceptions; custom exceptions.

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Learning objectives: • Use try, except, else, finally • Raise and define custom exceptions
21

Iterators & Generators

Iterators, iter(), next(); generators; yield.

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Learning objectives: • Implement iterators with iter() and next() • Create generators with yield
22

Lambda & Higher-Order Functions

Lambda; map(), filter(), reduce(); zip(); enumerate().

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Learning objectives: • Write lambda and use map, filter, reduce • Use zip and enumerate
23

Decorators

Functions as objects; nested functions; closures; creating decorators; practical use cases.

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Learning objectives: • Treat functions as objects and use nested functions • Create decorators with closures
24

Context Managers

with statement; creating custom context managers.

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Learning objectives: • Use with statement and create custom context managers
25

Regular Expressions

re module; pattern matching; common regex patterns.

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Learning objectives: • Use re module for pattern matching • Apply common regex patterns
26

Modules & Packages

Creating modules; importing; creating packages; __name__ == "__main__"; standard library overview.

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Learning objectives: • Create and import modules and packages • Use __name__ == "__main__" and standard library
27

Virtual Environments & pip

Creating virtual environments; installing packages; managing dependencies.

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Learning objectives: • Create virtual environments and install packages • Manage dependencies with pip

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