30-Days-of-Python-Programming

30days of python programming is a repository that offers a 30-day program to learn Python with daily tutorials and exercises to improve your skills from beginner to intermediate level. This repository is a great resource for anyone looking to learn Python programming or to improve their existing skills. Whether you're a beginner or an experienced programmer, you'll find something in this repository that will help you become a more proficient Python developer.

Day 1: Variables, Number, Operators

• Introduction to variables and variable assignment
• Different types of numbers in Python (integers, floating-point numbers, complex numbers)
• Basic mathematical operations (addition, subtraction, multiplication, division)
• Modulus and floor division
• Shortcut operators (increment and decrement operators)
• Comparison operators (equal to, not equal to, greater than, less than, greater than or equal to, less than or equal to)
• Logical operators (and, or, not)
• Bitwise operators (and, or, not, xor, shift left, shift right)
• Type conversion and casting
• Some basic examples of how to use these concepts in practice.

Day 2: String Data Structure

• Introduction to strings and string literals
• String indexing and slicing
• Concatenation and replication of strings
• String methods (upper, lower, strip, split, join, etc.)
• Formatting strings (using f-strings, format() method)
• String formatting with placeholders
• String formatting with the % operator
• Escape sequences in strings
• Raw strings and Unicode strings
• String interpolation and multi-line strings
• String concatenation using + operator and * operator
• String membership test using in and not in operators
• String comparison using relational operators.
• Some basic examples of how to use these concepts in practice.

Day 3: List Data Structure

• Introduction to lists and list literals
• List indexing and slicing
• List concatenation and replication
• Modifying lists (append, insert, remove, pop, etc.)
• List comprehension
• Sorting and reversing lists
• List methods (count, index, extend, etc.)
• Using lists with loops
• List to string, string to list
• List iteration and list comprehension
• List membership test using in and not in operators
• List comparison using relational operators
• Accessing list elements using for loop and while loop
• Some basic examples of how to use these concepts in practice.

Day 4: Tuple Data Structure

• Introduction to tuples and tuple literals
• Tuple indexing and slicing
• Tuple concatenation and replication
• Tuple unpacking
• Modifying tuples (using slicing and concatenation)
• Tuple methods (count, index, etc.)
• Tuple to string and string to tuple
• Tuple iteration and tuple comprehension
• Tuple membership test using in and not in operators
• Tuple comparison using relational operators
• Accessing tuple elements using for loop and while loop
• Using tuples as keys in dictionaries
• The difference between lists and tuples
• Some basic examples of how to use these concepts in practice.

Day 5: Set Data Structure

• Introduction to sets and set literals
• Set operations (union, intersection, difference, symmetric difference)
• Modifying sets (adding and removing elements)
• Set methods (add, update, remove, discard, etc.)
• Set comprehension
• Set to list and list to set
• Set iteration and set comprehension
• Set membership test using in and not in operators
• Set comparison using relational operators
• Set operations using mathematical notation (|, &, -, ^)
• Emptiness test using len() and the keyword in
• The difference between sets and lists/tuples
• Using sets to remove duplicates from a list
• Some basic examples of how to use these concepts in practice.