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souhaillaghchimdev · 2 months ago

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Python: 100 Simple Codes

Python: 100 Simple Codes

Beginner-friendly collection of easy-to-understand Python examples.

Each code snippet is designed to help you learn programming concepts step by step, from basic syntax to simple projects. Perfect for students, self-learners, and anyone who wants to practice Python in a fun and practical way.

Codes:

1. Print Hello World

2. Add Two Numbers

3. Check Even or Odd

4. Find Maximum of Two Numbers

5. Simple Calculator

6. Swap Two Variables

7. Check Positive, Negative or Zero

8. Factorial Using Loop

9. Fibonacci Sequence

10. Check Prime Number

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11. Sum of Numbers in a List

12. Find the Largest Number in a List

13. Count Characters in a String

14. Reverse a String

15. Check Palindrome

16. Generate Random Number

17. Simple While Loop

18. Print Multiplication Table

19. Convert Celsius to Fahrenheit

20. Check Leap Year

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21. Find GCD (Greatest Common Divisor)

22. Find LCM (Least Common Multiple)

23. Check Armstrong Number

24. Calculate Power (Exponent)

25. Find ASCII Value

26. Convert Decimal to Binary

27. Convert Binary to Decimal

28. Find Square Root

29. Simple Function

30. Function with Parameters

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31. Function with Default Parameter

32. Return Multiple Values from Function

33. List Comprehension

34. Filter Even Numbers from List

35. Simple Dictionary

36. Loop Through Dictionary

37. Check if Key Exists in Dictionary

38. Use Set to Remove Duplicates

39. Sort a List

40. Sort List in Descending Order

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41. Create a Tuple

42. Loop Through a Tuple

43. Unpack a Tuple

44. Find Length of a List

45. Append to List

46. Remove from List

47. Pop Last Item from List

48. Use range() in Loop

49. Use break in Loop

50. Use continue in Loop

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51. Check if List is Empty

52. Join List into String

53. Split String into List

54. Use enumerate() in Loop

55. Nested Loop

56. Simple Class Example

57. Class Inheritance

58. Read Input from User

59. Try-Except for Error Handling

60. Raise Custom Error

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61. Lambda Function

62. Map Function

63. Filter Function

64. Reduce Function

65. Zip Two Lists

66. List to Dictionary

67. Reverse a List

68. Sort List of Tuples by Second Value

69. Flatten Nested List

70. Count Occurrences in List

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71. Check All Elements with all()

72. Check Any Element with any()

73. Find Index in List

74. Convert List to Set

75. Find Intersection of Sets

76. Find Union of Sets

77. Find Difference of Sets

78. Check Subset

79. Check Superset

80. Loop with Else Clause

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81. Use pass Statement

82. Use del to Delete Item

83. Check Type of Variable

84. Format String with f-string

85. Simple List Slicing

86. Nested If Statement

87. Global Variable

88. Check if String Contains Substring

89. Count Characters in Dictionary

90. Create 2D List

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91. Check if List Contains Item

92. Reverse a Number

93. Sum of Digits

94. Check Perfect Number

95. Simple Countdown

96. Print Pattern with Stars

97. Check if String is Digit

98. Check if All Letters Are Uppercase

99. Simple Timer with Sleep

100. Basic File Write and Read

===

#ebook

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juliebowie · 11 months ago

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Introduction to Armstrong Number in Python

Summary: Discover the concept of Armstrong Numbers in Python, their unique properties, and how to implement a program to check them. Learn about basic and optimised approaches for efficient computation.

Introduction

In this article, we explore the concept of an Armstrong Number in Python. An Armstrong number, also known as a narcissistic number, is a number that equals the sum of its own digits, each raised to the power of the number of digits.

These numbers are significant in both programming and mathematical calculations for understanding number properties and algorithmic efficiency. Our objective is to explain what an Armstrong number is and demonstrate how to implement a program to check for Armstrong numbers using Python, providing clear examples and practical insights.

Read: Explaining Jupyter Notebook in Python.

What is an Armstrong Number?

An Armstrong number, also known as a narcissistic number, is a particular type of number in which the sum of its digits, each raised to the power of the number of digits, equals the number itself. This property makes Armstrong numbers unique and exciting in mathematics and programming.

Definition of an Armstrong Number

An Armstrong number is defined as a number equal to the sum of its digits; each raised to the power of the total number of digits. For example, if a number has 𝑛 digits, each digit d is raised to the 𝑛th power and the sum of these values results in the original number.

Explanation with a Simple Example

Consider the number 153. It has three digits, so we raise each digit to the third power and sum them:

Since the result equals the original number, 153 is an Armstrong number. Another example is 370:

Difference Between Armstrong Numbers and Other Numerical Concepts

Armstrong numbers are distinct because they involve the specific property of digit manipulation. Unlike prime numbers, which are based on divisibility, or perfect numbers, which relate to the sum of divisors, Armstrong numbers focus solely on digit power sums. This unique characteristic sets them apart from other numerical concepts in mathematics.

How to Determine an Armstrong Number?

To determine whether a number is an Armstrong number, we need to verify if the sum of its digits, each raised to the power of the number of digits, equals the number itself. This concept may seem complex at first, but with a clear understanding of the process, it becomes straightforward.

Let's break down the steps and explore the mathematical method used to identify Armstrong numbers.

Mathematical Formula

The formula to check if a number is an Armstrong number is:

Here, d1,d2,…,dm represent the digits of the number, and 𝑛 is the total number of digits.

Step-by-Step Breakdown

Determine the Number of Digits: First, find the total number of digits, nnn, in the given number. This is crucial as each digit will be raised to the power of nnn.

Extract Each Digit: Extract each digit of the number. This can be done using mathematical operations like modulus and division.

Raise Each Digit to the Power of nnn: For each digit, calculate its power by raising it to nnn.

Sum the Powered Digits: Add the results of the previous step together to get the sum.

Compare the Sum with the Original Number: Finally, compare the sum with the original number. If they are equal, the number is an Armstrong number.

Example Calculation

Let's determine if 153 is an Armstrong number:

Number of digits (n): 3

Extracted digits: 1, 5, 3

Raised to the power of n:

Sum of powered digits: 1+125+27=1531

Comparison: The sum, 153, equals the original number, confirming that 153 is an Armstrong number.

This systematic approach helps in accurately identifying Armstrong numbers, making the concept both interesting and accessible.

Also Check: Data Abstraction and Encapsulation in Python Explained.

Armstrong Number Algorithm

An Armstrong number, also known as a narcissistic number, is a number that is equal to the sum of its own digits each raised to the power of the number of digits. To determine if a number is an Armstrong number, we follow a specific algorithm.

This section outlines the steps involved and discusses the efficiency and complexity of the algorithm.

Outline of the Algorithm

To check if a number is an Armstrong number, follow these steps:

Determine the Number of Digits:

First, calculate the number of digits (n) in the given number. This step helps in raising each digit to the appropriate power.

Calculate the Sum of Digits Raised to the Power of n:

For each digit in the number, raise it to the power of n and sum these values. This step involves iterating through each digit, performing the power operation, and accumulating the results.

Compare the Sum with the Original Number:

Finally, compare the calculated sum with the original number. If they are equal, the number is an Armstrong number.

Key Steps in the Algorithm

Extracting Digits: We extract each digit from the number, which can be done using modulus and division operations.

Power Calculation: Raise each extracted digit to the power of the total number of digits.

Summation: Accumulate the results of the power calculations to form the total sum.

Comparison: Compare the accumulated sum with the original number to determine if it is an Armstrong number.

Efficiency and Complexity

The Armstrong number algorithm is efficient for small to moderately sized numbers. The primary operations involve basic arithmetic, such as modulus, division, and exponentiation, making the algorithm computationally light. The time complexity is O(d), where d is the number of digits in the number.

This is because the algorithm processes each digit exactly once. For large numbers, the time complexity may increase, but it remains manageable due to the simplicity of the calculations involved.

Implementing Armstrong Number in Python

To determine whether a number is an Armstrong number, we need to implement a straightforward approach in Python. Armstrong numbers, also known as narcissistic numbers, are numbers that equal the sum of their own digits each raised to the power of the number of digits.

Here, we’ll explore a basic implementation in Python and discuss how to optimise it for better performance.

Basic Implementation

Let’s start with a simple Python program to check if a number is an Armstrong number:

Explanation of the Code:

Function Definition: The function is_armstrong_number takes an integer number as its parameter.

Convert Number to String: We convert the number to a string using str(number) to easily access each digit.

Count Digits: We determine the number of digits using len(digits).

Initialise Sum Variable: We initialise sum_of_powers to zero to accumulate the sum of each digit raised to the power of num_digits.

Calculate Sum of Powers: We loop through each digit in the string, convert it back to an integer, raise it to the power of num_digits, and add it to sum_of_powers.

Check Armstrong Condition: Finally, we compare sum_of_powers with the original number to determine if it is an Armstrong number.

Optimised Approach

While the basic implementation is easy to understand, it may not be the most efficient for larger numbers. Here are some optimisations:

Use List Comprehension: Python’s list comprehension can make the code more concise. Here’s an optimised version:

This version uses a single line to calculate sum_of_powers using list comprehension, making the code more compact and potentially faster.

2. Precompute Powers: For very large numbers, precomputing powers for digits (0 through 9) and reusing them can reduce computation time.

3. Avoid String Conversion: If working with extremely large numbers, you might want to avoid converting numbers to strings repeatedly. However, this is a trade-off between readability and performance.

By employing these optimisations, you can enhance the efficiency of the Armstrong number checking algorithm, especially for larger inputs.

Frequently Asked Questions

What is an Armstrong Number in Python?

An Armstrong Number in Python is a number that equals the sum of its digits each raised to the power of the number of digits. For example, 153 is an Armstrong Number because 1^3+5^3+3^3=153.

How can I check for an Armstrong Number in Python?

To check for an Armstrong Number in Python, calculate the sum of each digit raised to the power of the total number of digits. If this sum equals the original number, it’s an Armstrong Number.

What is the efficiency of the Armstrong Number algorithm in Python?

The Armstrong Number algorithm in Python is efficient for small to moderate numbers with a time complexity of O(d), where d is the number of digits. The primary operations include basic arithmetic and exponentiation.

Further See: Understanding NumPy Library in Python.

Conclusion

In this article, we've explored Armstrong Numbers in Python, highlighting their unique property of being equal to the sum of their digits raised to their respective powers. We demonstrated how to implement and optimise a Python program to check for Armstrong Numbers. Understanding this concept and its implementation enhances both mathematical knowledge and programming skills.

#Armstrong Number in Python #Armstrong Number #Python

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hellojavatutorialsthings-blog · 5 years ago

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Arm Strong number program java.mp4

#armstrong number in java armstrong number armstrong no in c program armstrong number program in python armstrong number in c++ using for loo

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harisystems · 2 years ago

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Python - Chat GPT + Python Programming - Armstrong Number

#youtube #Python - Chat GPT + Python Programming - Armstrong Number పైథాన్ - చాట్ GPT + పైథాన్ ప్రోగ్రామింగ్ - ఆర్మ్‌స్ట్రాంగ్ నంబర్

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python-program · 4 years ago

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डाटा साइंस

डाटा साइंस आज के समय में डाटा ही धन है क्योंकि आजकल हम सुबह से लेकर सोने तक डेटा का उपयोग करते हैं आप जिस मोबाइल का उपयोग करते हैं उसमें केवल डाटा ही तो है हर व्यक्ति गूगल सर्च के माध्यम से डाटा ही तो प्राप्त करता है इस प्रकार से डाटा धन से भी ज्यादा मूल्यवान हो चुका है हम 1 मिनट भी मोबाइल फोन लैपटॉप के बिना नहीं रह सकते क्योंकि इन चीजों पर हम पूरी तरह से निर्भर हो चुके हैं अब इनके बिना जीवन की…

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sitesbay · 8 years ago

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Armstrong number Program in Python

Using modulus operator and if statement you can write this code. And remaining concept are apply same like C programming only change syntax.

#Armstrong number Program in Python #Armstrong number Program to check armstrong number in Pyton

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digthe60s · 8 years ago

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1969

On July 20, one of man’s crowning achievements occurred when American astronaut Neil Armstrong became the first human to set foot on the moon, and uttered the immortal words “That’s one small step for man, one giant leap for mankind.” The opposition to the war continued to increase with more and more attending anti-war demonstrations and demanding that the U.S. withdrew from Vietnam. The music came from artists such as the Doors, Led Zeppelin, Janis Joplin, and the Beatles. The most famous music festival of modern times, Woodstock, took place on a New York farm on August 15-18, with more than 400,000 avid music fans attending to see the Who, Jimi Hendrix, Crosby, Stills & Nash and others perform live. Fashions reflected the anti-war sentiment with military jackets adorned with peace signs, and trends such as long, unkempt wild hair and headbands showed the feelings of anti-establishment experienced by the youth.

Major events

• The first man is landed on the moon on the Apollo 11 mission by the United States. Neil Armstrong and Edwin “Buzz” Aldrin became the first humans to set foot on the moon.

• The second manned moon mission, Apollo 12, successfully launches and lands on the moon.

• The Isle of Wight Festival attracts an audience of approximately 150,000 people; the Atlanta International Pop Festival attracts 100,000; and Woodstock attracts more than 350,000.

• The Beatles record Abbey Road, their final album together.

• The first communications are sent through the ARPANET on October 29, 1969.

• The U.S. Air Force closes its Blue Book Project, concluding that there is no evidence of UFOs.

• 250,000 people march on Washington in protest against the Vietnam War.

• The RMS Queen Elizabeth II enters service.

• Golda Meir becomes Prime Minister of Israel.

• Robin Knox-Johnston becomes the first person to sail around the world solo without stopping.

• The U.S. institutes the draft lottery to determine draft into U.S. forces for Vietnam War.

• The very first U.S. troop withdrawals are made from Vietnam.

• The Public Broadcasting Service (PBS) is established.

• On June 28, the police raids Stonewall Inn, a gay club located in New York City, inciting the Stonewall Riots.

• The Civil war in Biafra leaves 3 million people starving and needing international aid.

• Members of a cult led by Charles Manson murder seven people—including actress Sharon Tate—on August 9-10 in Los Angeles, California.

• Richard Nixon becomes President of the United States.

• Hurricane Camille hits the Mississippi coast, killing 248 people.

• Britain deploys troops in Northern Ireland following increasing violence.

• The Australian light aircraft carrier HMAS Melbourne slices the destroyer USS Frank E. Evans in half, killing 82 crew members.

• The trial of the “Chicago Seven” begins. They are accused of inciting riot at the 1968 Democratic National Convention.

• Charles de Gaulle resigns as president of France.

• A bomb is exploded in a bank in Milan, Italy.

• Rising inflation is a worldwide problem.

• The U.S. Supreme Court rules on Stanley v. Georgia that “the State may not prohibit mere possession of obscene materials for personal use."

• Militant black students at Cornell University in Ithaca, New York, use force to take over the Willard Straight Hall, demanding a black studies program.

• Police forces in the U.S. crack down on student protests.

• A free concert organized by the Rolling Stones is held at the Altamont Speedway in Livermore, California, with problems caused by the use of Hells Angels as bouncers, resulting in a number of deaths.

• Monty Python’s Flying Circus and Sesame Street make their debuts on television.

• Brian Jones, former guitarist of the Rolling Stones, is found dead at his home on July 3, after apparently drowning in his swimming pool.

• John Lennon’s album Two Virgins, featuring himself and Yoko Ono naked, is confiscated at the Newark Airport.

• The Beatles make their last public performance on the roof of Apple Records.

Top 10 highest-grossing films in the U.S.

1. Butch Cassidy and the Sundance Kid (dir. George Roy Hill)

2. Midnight Cowboy (dir. John Schlesinger)

3. Easy Rider (dir. Dennis Hopper)

4. Hello, Dolly! (dir. Gene Kelly)

5. Bob & Carol & Ted & Alice (dir. Paul Mazursky)

6. Paint Your Wagon (dir. Joshua Logan)

7. True Grit (dir. Henry Hathaway)

8. Cactus Flower (dir. Gene Saks)

9. Goodbye, Colombus (dir. Larry Peerce)

10. On Her Majesty’s Secret Service (dir. Peter R. Hunt)

Billboard’s number-one music albums (in chronological order)

1. “The Beatles” by The Beatles

2. “TCB” by Diana Ross & the Supremes and The Temptations

3. “Wichita Lineman” by Glen Campbell

4. “Blood, Sweat & Tears” by Blood, Sweat & Tears

5. “Hair” by Hair Original Cast

6. “At San Quentin” by Johnny Cash

7. “Blind Faith” by Blind Faith

8. “Green River” by Creedence Clearwater Revival

9. “Abbey Road” by The Beatles

10. “Led Zeppelin II” by Led Zeppelin

Source: [x]

#1969 #1960s #60s #history #mine: edit

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amansingh10 · 4 years ago

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A number is said to be an Armstrong if the sum of each digit’s cube of a given number equals the original number.

#Python #Armstrong

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udemy-gift-coupon-blog · 6 years ago

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