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Master the Python for loop — iterate over sequences, ranges, strings, lists, and dictionaries. Learn loop patterns, nested loops, enumerate, zip, and real-world programs with Hindi explanations.
Introduction (परिचय)
for loop का उपयोग तब होता है जब हम एक sequence (list, string, range, etc.) के हर element पर कोई काम करना चाहते हैं।
Real-Life Analogy: `` "क्लास के हर विद्यार्थी का नाम पुकारो" "Bag के हर item की जाँच करो" "1 से 100 तक गिनती करो" ``Flow Diagram (प्रवाह आरेख)
Example
START
│
▼
┌────────────────────────┐
│ Get next element │◄──────────┐
│ from sequence │ │
└──────────┬─────────────┘ │
│ │
┌───────┴────────┐ │
│ │ │
Element No more │
available elements │
│ │ │
▼ ▼ │
┌───────────┐ END │
│ Execute │ │
│ Loop Body │───────────────────────────┘
└───────────┘
For Loop with range() (range के साथ)
range() एक number sequence generate करता है।
range() Variations
python example
range(stop) # 0 to stop-1
range(start, stop) # start to stop-1
range(start, stop, step) # start to stop-1, step by stepExamples
python example
# range(5) — 0 to 4
for i in range(5):
print(i, end=" ")
print()Output: 0 1 2 3 4
python example
# range(1, 6) — 1 to 5
for i in range(1, 6):
print(i, end=" ")
print()Output: 1 2 3 4 5
python example
# range(1, 11, 2) — odd numbers
for i in range(1, 11, 2):
print(i, end=" ")
print()Output: 1 3 5 7 9
python example
# range(10, 0, -1) — countdown
for i in range(10, 0, -1):
print(i, end=" ")
print("BLAST OFF! 🚀")Output: 10 9 8 7 6 5 4 3 2 1 BLAST OFF! 🚀
Iterating Over Sequences (Sequences पर Iteration)
Iterating a List
Example
fruits = ["apple", "banana", "mango", "grapes", "orange"]
for fruit in fruits:
print(f"Fruit: {fruit} 🍎")
Output:
| Fruit | apple 🍎 |
| Fruit | banana 🍎 |
| Fruit | mango 🍎 |
| Fruit | grapes 🍎 |
| Fruit | orange 🍎 |
Iterating a String (String पर)
python example
word = "PYTHON"
for letter in word:
print(letter, end=" — ")
print("Done!")Output: P — Y — T — H — O — N — Done!
python example
# Count vowels in a string
sentence = "Python is awesome"
vowels = 0
for char in sentence:
if char.lower() in "aeiou":
vowels += 1
print(f"Number of vowels: {vowels}")Output: Number of vowels: 7
Iterating a Tuple
python example
coordinates = (10, 20, 30, 40, 50)
for value in coordinates:
print(f"Value: {value}")Iterating a Dictionary
python example
student = {
"name": "Rahul",
"age": 20,
"city": "Delhi",
"grade": "A"
}
# Keys only (default)
print("Keys:")
for key in student:
print(f" {key}")
# Values only
print("\nValues:")
for value in student.values():
print(f" {value}")
# Key-Value pairs
print("\nKey-Value:")
for key, value in student.items():
print(f" {key}: {value}")Output:
Keys
name
age
city
grade
Values
Rahul
20
Delhi
A
Key-Value
name: Rahul
age: 20
city: Delhi
grade: A
Useful Built-in Functions with For
enumerate() — Index + Value
Example
subjects = ["Math", "Science", "English", "Hindi", "Computer"]
for index, subject in enumerate(subjects):
print(f"{index + 1}. {subject}")
Output:
Example
1. Math
2. Science
3. English
4. Hindi
5. Computer
python example
# Custom start index
for i, name in enumerate(subjects, start=1):
print(f"Subject {i}: {name}")zip() — Two Sequences Together
Example
names = ["Rahul", "Priya", "Amit", "Sita"]
marks = [85, 92, 78, 96]
for name, mark in zip(names, marks):
print(f"{name}: {mark} marks")
Output:
| Rahul | 85 marks |
| Priya | 92 marks |
| Amit | 78 marks |
| Sita | 96 marks |
Practical Programs (व्यावहारिक कार्यक्रम)
Program 1: Multiplication Table
python example
n = int(input("Enter a number for multiplication table: "))
print(f"\n=== Multiplication Table of {n} ===")
for i in range(1, 11):
result = n * i
print(f"{n} × {i:2d} = {result:3d}")Output (n=7):
Example
=== Multiplication Table of 7 ===
7 × 1 = 7
7 × 2 = 14
7 × 3 = 21
7 × 4 = 28
7 × 5 = 35
7 × 6 = 42
7 × 7 = 49
7 × 8 = 56
7 × 9 = 63
7 × 10 = 70
Program 2: Sum of N Numbers
python example
n = int(input("Enter N: "))
total = 0
for i in range(1, n + 1):
total += i
print(f"Sum of 1 to {n} = {total}")
print(f"Formula check: n*(n+1)/2 = {n*(n+1)//2}")Output (n=100):
Example
Sum of 1 to 100 = 5050
Formula check: n*(n+1)/2 = 5050
Program 3: Factorial Calculator
python example
n = int(input("Enter a number: "))
factorial = 1
for i in range(1, n + 1):
factorial *= i
print(f" Step {i}: {i}! = {factorial}")
print(f"\n{n}! = {factorial}")Output (n=5):
| Step 1 | 1! = 1 |
| Step 2 | 2! = 2 |
| Step 3 | 3! = 6 |
| Step 4 | 4! = 24 |
| Step 5 | 5! = 120 |
Program 4: Prime Number Check
python example
n = int(input("Enter a number: "))
is_prime = True
if n < 2:
is_prime = False
else:
for i in range(2, int(n**0.5) + 1):
if n % i == 0:
is_prime = False
print(f" {n} is divisible by {i}")
break
if is_prime:
print(f"{n} is a PRIME number 🔢")
print(f"{n} एक अभाज्य संख्या है")
else:
print(f"{n} is NOT a prime number")Program 5: List Operations
Example
numbers = [3, 7, 2, 9, 1, 5, 8, 4, 6, 10]
total = 0
maximum = numbers[0]
minimum = numbers[0]
even_count = 0
odd_count = 0
for num in numbers:
total += num
if num > maximum:
maximum = num
if num < minimum:
minimum = num
if num % 2 == 0:
even_count += 1
else:
odd_count += 1
print(f"Numbers: {numbers}")
print(f"Sum: {total}")
print(f"Average: {total/len(numbers):.2f}")
print(f"Maximum: {maximum}")
print(f"Minimum: {minimum}")
print(f"Even numbers: {even_count}")
print(f"Odd numbers: {odd_count}")
Output:
| Numbers | [3, 7, 2, 9, 1, 5, 8, 4, 6, 10] |
| Sum | 55 |
| Average | 5.50 |
| Maximum | 10 |
| Minimum | 1 |
| Even numbers | 4 |
| Odd numbers | 6 |
Nested For Loops (Nested For Loops)
python example
# Multiplication table for 1-5
print("Multiplication Table (1-5)")
print("-" * 30)
for i in range(1, 6):
for j in range(1, 6):
print(f"{i*j:3d}", end="")
print()Output:
Example
Multiplication Table (1-5)
------------------------------
1 2 3 4 5
2 4 6 8 10
3 6 9 12 15
4 8 12 16 20
5 10 15 20 25
Nested Loop — Pattern
python example
# Right triangle pattern
rows = 5
for i in range(1, rows + 1):
for j in range(i):
print("*", end=" ")
print()Output:
Example
*
* *
* * *
* * * *
* * * * *
List Comprehension (Advanced — संक्षिप्त List बनाना)
Example
# Traditional for loop
squares = []
for i in range(1, 6):
squares.append(i ** 2)
print(squares)
# List comprehension (shorter)
squares = [i**2 for i in range(1, 6)]
print(squares)
Output:
Example
[1, 4, 9, 16, 25]
[1, 4, 9, 16, 25]
Example
# Filtering with comprehension
numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
evens = [n for n in numbers if n % 2 == 0]
print(evens)
Output: [2, 4, 6, 8, 10]
For-Else Construct (For के साथ Else)
Example
# else runs when loop completes WITHOUT break
numbers = [4, 7, 2, 9, 1, 6]
target = 5
for num in numbers:
if num == target:
print(f"Found {target}!")
break
else:
print(f"{target} not found in the list")
print(f"{target} सूची में नहीं मिला")
Output: 5 not found in the list
Common Mistakes (सामान्य गलतियाँ)
❌ Mistake 1: Modifying list while iterating
Example
nums = [1, 2, 3, 4, 5]
# WRONG — unpredictable behavior
for n in nums:
if n % 2 == 0:
nums.remove(n)
# CORRECT — iterate a copy
for n in nums[:]:
if n % 2 == 0:
nums.remove(n)
# Or use list comprehension
nums = [n for n in nums if n % 2 != 0]
❌ Mistake 2: Off-by-one with range
python example
# Print 1 to 10
# WRONG
for i in range(10): # gives 0 to 9
print(i)
# CORRECT
for i in range(1, 11): # gives 1 to 10
print(i)❌ Mistake 3: Using loop variable after loop
python example
for i in range(5):
pass
print(i) # i = 4 (last value) — works but bad practice
# Better: don't rely on loop variable after loop ends❌ Mistake 4: Unnecessary range(len())
Example
fruits = ["apple", "banana", "mango"]
# WRONG (C-style, not Pythonic)
for i in range(len(fruits)):
print(fruits[i])
# CORRECT (Pythonic)
for fruit in fruits:
print(fruit)
# CORRECT when index needed
for i, fruit in enumerate(fruits):
print(f"{i}: {fruit}")
Practice Exercises (अभ्यास प्रश्न)
Exercise 1 — Count Even/Odd
Count even and odd numbers from 1 to N.
Exercise 2 — Reverse a String
Reverse a string using for loop without using [::-1].
Exercise 3 — FizzBuzz
Print 1 to 50. For multiples of 3 print "Fizz", for 5 print "Buzz", for both print "FizzBuzz".
Exercise 4 — Fibonacci Series
Print first N Fibonacci numbers. *(0, 1, 1, 2, 3, 5, 8, 13, ...)*
Exercise 5 — Sum of Digits
Take a number, find sum of its digits using a loop. *(e.g., 1234 → 1+2+3+4 = 10)*
Exercise 6 — Palindrome Check
Check if a word is a palindrome using a for loop.
Solutions (हल)
Solution 1
python example
n = int(input("Enter N: "))
even = odd = 0
for i in range(1, n + 1):
if i % 2 == 0:
even += 1
else:
odd += 1
print(f"Even: {even}, Odd: {odd}")Solution 3 — FizzBuzz
python example
for i in range(1, 51):
if i % 3 == 0 and i % 5 == 0:
print("FizzBuzz")
elif i % 3 == 0:
print("Fizz")
elif i % 5 == 0:
print("Buzz")
else:
print(i)Solution 4 — Fibonacci
python example
n = int(input("How many Fibonacci numbers? "))
a, b = 0, 1
for i in range(n):
print(a, end=" ")
a, b = b, a + b
print()Solution 5 — Sum of Digits
python example
num = input("Enter a number: ")
digit_sum = 0
for digit in num:
if digit.isdigit():
digit_sum += int(digit)
print(f"Sum of digits: {digit_sum}")Summary (सारांश)
| Feature | Syntax | Use |
|---|---|---|
| Range loop | for i in range(n) | Count n times |
| List loop | for item in list | Each list item |
| String loop | for ch in string | Each character |
| Enumerate | for i, v in enumerate(seq) | Index + value |
| Zip | for a, b in zip(s1, s2) | Two sequences |
| Nested | for i in r: for j in r: | 2D problems |
Next Topic (अगला विषय)
➡️ While Loop — जब तक condition True हो, चलता रहे
✅ Key Takeaways
- 🔁
forloop Python में definite iteration के लिए use होता है — जब हमें पता हो कि कितनी बार loop चलेगा - 📋
forloop किसी भी iterable (list, string, tuple, dict, range, set, file) पर काम करता है - 🔢
range(start, stop, step)function numbers की sequence generate करता है — stop value include नहीं होती - 🏷️
enumerate()से index और value दोनों एक साथ मिलते हैं — manual counter बनाने की जरूरत नहीं - 🔗
zip()से दो या अधिक sequences को parallel iterate कर सकते हैं - 📦 List comprehension for loop का short और fast version है — simple transformations के लिए best है
- 🔄 Nested loops 2D problems (patterns, matrices, tables) के लिए use होते हैं — Time Complexity O(n²) होती है
- ⚠️ Loop चलते समय list को modify करना dangerous है — हमेशा copy पर iterate करें या comprehension use करें
- 🎯
for-elseconstruct:elseblock तब execute होता है जब loop बिना break के पूरा होता है - 💡 Pythonic code में
range(len(list))की जगह direct iteration याenumerate()prefer करें
❓ FAQ
Q1: for loop और while loop में क्या difference है?
Answer: for loop definite iteration के लिए है — जब हमें पता हो कितनी बार loop चलेगा (sequence पर iterate करना)। while loop indefinite iteration के लिए है — जब condition True हो तब तक चलता रहे, end पहले से पता नहीं।
python example
# for — known iterations
for i in range(5):
print(i)
# while — unknown iterations (until user says stop)
while input("Continue? (y/n): ") == "y":
print("Running...")Q2: range() में stop value include क्यों नहीं होती?
Answer: यह Python की zero-indexed philosophy के कारण है। range(5) gives 0,1,2,3,4 — exactly 5 elements। यह list indexing (list[0] to list[n-1]) के साथ consistent रहता है। Formula: range(n) always gives n elements।
Q3: क्या for loop में multiple variables use कर सकते हैं?
Answer: हाँ! Tuple unpacking से multiple variables use कर सकते हैं:
Example
# enumerate gives (index, value)
for i, name in enumerate(["A", "B", "C"]):
print(i, name)
# zip gives paired tuples
for name, age in zip(["Rahul", "Priya"], [20, 22]):
print(f"{name} is {age}")
# dict.items() gives (key, value)
for key, value in {"a": 1, "b": 2}.items():
print(key, value)
Q4: for-else actually कब use होता है?
Answer: for-else mostly search operations में useful है — जब loop में item मिल जाए तो break करो, अगर पूरा loop चलने के बाद भी नहीं मिला तो else block execute होगा। यह "not found" case handle करता है cleanly।
python example
for num in numbers:
if num == target:
print("Found!")
break
else:
print("Not found — loop completed without break")Q5: List comprehension हमेशा for loop से better है?
Answer: नहीं! List comprehension simple transformations और filtering के लिए great है, but complex logic (multiple statements, try-except, side effects like printing) के लिए regular for loop ही better है। Readability > Cleverness!
Example
# Good — simple transformation
squares = [x**2 for x in range(10)]
# Bad — too complex for comprehension (use regular loop)
# results = [process(x) if validate(x) else handle_error(x) for x in data if x is not None]
Q6: Nested loops को optimize कैसे करें?
Answer: Nested loops O(n²) time लेते हैं। Optimization tips:
- Inner loop को minimize करें — अगर possible हो तो dictionary/set lookup (O(1)) use करें
- Break early — जैसे ही answer मिले, inner loop से break करें
- itertools.product() use करें cleaner code के लिए
- Large data के लिए NumPy vectorization consider करें
Q7: _ (underscore) loop variable कब use करते हैं?
Answer: जब हमें loop variable की value use नहीं करनी — बस कुछ बार repeat करना है, तब _ convention है:
python example
# We don't need the variable, just want to repeat 5 times
for _ in range(5):
print("Hello!")Q8: reversed() और negative step (range(n, 0, -1)) में क्या difference है?
Answer: reversed() किसी भी sequence को reverse iterate करता है (list, string, etc.), जबकि negative step range() specific है:
python example
# reversed() — works on any sequence
for ch in reversed("PYTHON"):
print(ch, end=" ") # N O H T Y P
# Negative step — only for numeric ranges
for i in range(5, 0, -1):
print(i, end=" ") # 5 4 3 2 1🎯 Interview Questions
Q1: Python में for loop internally कैसे काम करता है?
Answer: Python का for loop iterator protocol use करता है। Internally यह steps follow करता है:
iter()call होता है sequence पर — एक iterator object मिलता है- हर iteration में
next()call होता है — अगला element मिलता है - जब elements खत्म हो जाते हैं,
StopIterationexception raise होता है - Python यह exception catch करके loop terminate कर देता है
Example
# Internally, this for loop:
for item in [1, 2, 3]:
print(item)
# Is equivalent to:
iterator = iter([1, 2, 3])
while True:
try:
item = next(iterator)
print(item)
except StopIteration:
break
Q2: range() object memory efficient क्यों है?
Answer: range() एक lazy sequence है — यह सभी numbers एक साथ memory में store नहीं करता। यह सिर्फ start, stop, step store करता है और demand पर numbers generate करता है। इसीलिए range(109) भी minimal memory लेता है, जबकि list(range(109)) GB memory लेगा।
Q3: List comprehension vs map() + lambda — कौन better है?
Answer: List comprehension ज़्यादातर cases में readable और fast है:
Example
# List comprehension — Pythonic ✅
squares = [x**2 for x in range(10)]
# map + lambda — less readable ❌
squares = list(map(lambda x: x**2, range(10)))
Performance: दोनों similar हैं, लेकिन comprehension slightly faster है क्योंकि lambda function call overhead नहीं होता।
Q4: Nested loop में break सिर्फ inner loop तोड़ता है — outer loop कैसे तोड़ें?
Answer: Python में nested break के लिए multiple approaches हैं:
python example
# Approach 1: Flag variable
found = False
for i in range(10):
for j in range(10):
if i * j == 42:
found = True
break
if found:
break
# Approach 2: Function + return (cleanest)
def find_pair():
for i in range(10):
for j in range(10):
if i * j == 42:
return (i, j)
return None
# Approach 3: itertools.product
from itertools import product
for i, j in product(range(10), range(10)):
if i * j == 42:
print(f"Found: {i}, {j}")
breakQ5: enumerate() का start parameter कब useful होता है?
Answer: जब numbering 0 से नहीं, custom number से शुरू करनी हो — जैसे line numbers, serial numbers, question numbers:
Example
questions = ["What is Python?", "What is a loop?", "What is OOP?"]
for num, q in enumerate(questions, start=1):
print(f"Q{num}: {q}")
# Q1: What is Python?
# Q2: What is a loop?
# Q3: What is OOP?
Q6: for loop variable का scope क्या है Python में?
Answer: Python में for loop variable loop के बाद भी accessible रहता है (last assigned value hold करता है)। यह C/Java से different है जहाँ loop variable loop के बाहर exist नहीं करता:
python example
for i in range(5):
pass
print(i) # Output: 4 — variable still exists!
# ⚠️ But if loop doesn't execute (empty sequence):
# for i in range(0):
# pass
# print(i) # NameError — i never assigned!Q7: Generator expression vs List comprehension — कब क्या use करें?
Answer: Generator expression lazy evaluation करता है (memory efficient), list comprehension eager है (सब एक बार बनाता है):
Example
# List comprehension — stores all in memory
squares_list = [x**2 for x in range(1000000)] # Uses ~8MB RAM
# Generator expression — generates on-the-fly
squares_gen = (x**2 for x in range(1000000)) # Uses ~120 bytes!
# Use generator when: iterating once, large data
total = sum(x**2 for x in range(1000000)) # Memory efficient
# Use list when: need random access, multiple iterations, len()
Q8: itertools module से for loop को कैसे supercharge करें?
Answer: itertools provides powerful loop utilities:
Example
from itertools import chain, cycle, islice, product, combinations
# chain — combine multiple sequences
for item in chain([1,2], [3,4], [5,6]):
print(item, end=" ") # 1 2 3 4 5 6
# cycle — infinite repeat
colors = cycle(["red", "green", "blue"])
for _ in range(6):
print(next(colors), end=" ") # red green blue red green blue
# product — nested loops alternative
for x, y in product(range(3), range(3)):
print(f"({x},{y})", end=" ")
# combinations — all pairs
for pair in combinations([1,2,3,4], 2):
print(pair, end=" ") # (1,2) (1,3) (1,4) (2,3) (2,4) (3,4)
Q9: Performance — for loop vs vectorized operations (NumPy)?
Answer: Pure Python for loop large data पर slow है compared to NumPy:
Example
import numpy as np
import time
# Python for loop — SLOW
numbers = list(range(1000000))
start = time.time()
result = [x**2 for x in numbers]
print(f"Python loop: {time.time()-start:.4f}s")
# NumPy vectorized — 50-100x FASTER
arr = np.array(numbers)
start = time.time()
result = arr ** 2
print(f"NumPy: {time.time()-start:.4f}s")
Rule: Data processing/math operations → NumPy। Logic/control flow → for loop।
Q10: Real interview coding question — Find duplicates in a list using for loop?
Answer:
Example
def find_duplicates(lst):
seen = set()
duplicates = set()
for item in lst:
if item in seen:
duplicates.add(item)
else:
seen.add(item)
return list(duplicates)
# Test
numbers = [1, 3, 5, 3, 7, 9, 1, 5, 5]
print(f"Duplicates: {find_duplicates(numbers)}")
Output
Duplicates: [1, 3, 5]
Time Complexity: O(n) — set lookup O(1) है, single pass loop। Space Complexity: O(n) — worst case सभी elements store।
Exam Focus
Revise definitions, diagrams, examples, and short-answer points for For Loop in Python.
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Prepare one clear explanation, one practical example, and one common mistake for this Python Master Course topic.
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