data structure has been added!

Author: codeasarjun

Diff for: 02-control-flow/README.md

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+# Control Flow in Python
+
+## Introduction
+
+In this section, we will explore the control flow mechanisms in Python, including conditional statements and loops. 
+
+## 1. Condition
+ In Python, we use `if`, `elif`, and `else` statements to implement conditional logic.
+
+## 2. Control Flow
+    Loops are used to execute a block of code repeatedly until a certain condition is met.

Diff for: 02-control-flow/conditions.py

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+def check_number(num):
+    """Check if a number is positive, negative, or zero."""
+    if num > 0:
+        return "The number is positive."
+    elif num < 0:
+        return "The number is negative."
+    else:
+        return "The number is zero."
+number = 10
+print(f"Number: {number} - {check_number(number)}")
+
+number = -5
+print(f"Number: {number} - {check_number(number)}")
+
+number = 0
+print(f"Number: {number} - {check_number(number)}")

Diff for: 02-control-flow/loops.py

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+fruits = ["apple", "banana", "cherry"]
+print("Fruits in the list:")
+for fruit in fruits:
+    print(fruit)
+
+count = 1
+print("\nCounting from 1 to 5:")
+while count <= 5:
+    print(count)
+    count += 1

Diff for: 03-data-structures/README.md

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+We will explore four fundamental data structures available in Python: lists, tuples, dictionaries, and sets. Understanding these data structures is essential for effective data management and manipulation in Python programming.
+
+## 1. Lists
+
+Lists are ordered collections that can hold multiple items of various types. They are mutable, meaning you can change their contents after they are created.
+
+### Features
+- **Ordered**: Items have a defined order and maintain that order.
+- **Mutable**: You can add, remove, or modify items.
+- **Indexed**: Items are accessed by their index, starting from 0.
+
+## 2. Tuples
+
+Tuples are ordered collections similar to lists but are immutable, which means once they are created, their contents cannot be changed.
+
+### Features
+- **Ordered**: Items have a defined order.
+- **Immutable**:We cannot add, modify, or remove items after creation.
+- **Indexed**: Items are accessed by their index, starting from 0.
+
+## 3. Dictionaries
+
+Dictionaries are unordered collections of key-value pairs. Each key is unique and is used to access the corresponding value.
+
+### Features
+- **Unordered**: Items do not maintain a specific order.
+- **Mutable**: You can add, modify, or remove key-value pairs.
+- **Key-Value Pair**: Each item consists of a key and a corresponding value.
+
+
+## 4. Sets
+
+Sets are unordered collections of unique elements. They are useful for operations such as membership testing, eliminating duplicates, and performing set operations.
+
+### Features
+- **Unordered**: Items do not maintain any specific order.
+- **Mutable**: You can add or remove items, but items must be unique.
+- **Unique Elements**: Duplicate elements are automatically removed.

Diff for: 03-data-structures/dictionaries.py

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+
+person = {
+    "name": "Alice",
+    "age": 30,
+    "city": "New York"
+}
+
+print("Name:", person["name"])
+
+person["email"] = "test@example.com"
+print("Dictionary after adding an email:", person)
+
+del person["city"]
+print("Dictionary after removing city:", person)
+
+print("Dictionary keys and values:")
+for key, value in person.items():
+    print(f"{key}: {value}")
+
+print("Email:", person.get("email", "Not found"))

Diff for: 03-data-structures/lists.py

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+fruits = ["apple", "banana", "cherry"]
+
+print("First fruit:", fruits[0])
+
+fruits.append("date")
+print("List after adding a fruit:", fruits)
+
+fruits.remove("banana")
+print("List after removing a fruit:", fruits)
+
+print("All fruits in the list:")
+for fruit in fruits:
+    print(fruit)
+
+
+print("First two fruits:", fruits[:2])

Diff for: 03-data-structures/sets.py

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+
+numbers = {1, 2, 3, 4, 5}
+
+numbers.add(6)
+print("Set after adding an element:", numbers)
+
+numbers.remove(3)
+print("Set after removing an element:", numbers)
+
+numbers.add(5)
+print("Set after adding a duplicate element:", numbers)
+
+print("All numbers in the set:")
+for number in numbers:
+    print(number)
+
+set_a = {1, 2, 3}
+set_b = {3, 4, 5}
+
+print("Union of sets:", set_a | set_b)
+print("Intersection of sets:", set_a & set_b)
+print("Difference of sets:", set_a - set_b)

Diff for: 03-data-structures/tuples.py

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+coordinates = (10, 20, 30)
+
+print("First coordinate:", coordinates[0])
+
+
+print("All coordinates:")
+for coordinate in coordinates:
+    print(coordinate)
+
+print("First two coordinates:", coordinates[:2])