Underrated step for logic building in programming.

-
Image
Logic building is a crucial and complex skill in programming. In essence, it is ability to come-up with solution of coding problem and write precise instructions ( or code) that a computer can execute autonomously. This skill requires aligning your thought process with computer and its capabilities. And running through code some-what abstractly to know and predict the behavior of code before it is executed. To be able to do this, one essential step that many beginner programmers overlook is performing dry runs. Understanding Dry Runs The concept of a dry run in programming is straightforward: can you mentally execute your code and predict its output without actually running it on a computer? While this seems simple, it is a challenging task. Typically, we are taught to write code, run it, and observe the output. This cycle is essential because code needs to run to be validated. However, if you rely solely on running your code to understand its behavior, you may struggle with building...
Post a Comment

Python Code for begineer's #8

-

 # function with argument


def isArmstrong(number):
    original_number = number
    num_digits = len(str(number))
    sum_of_digits = 0

    while number > 0:
        digit = number % 10
        sum_of_digits += digit ** num_digits
        number //= 10

    if sum_of_digits == original_number:
        return True
    else:
        return False

result = isArmstrong(45)
if result:
    print('it is armstrong')
else:
    print('it is not armstrong')

# function without argument

def isArmstrong(number):
    number = int(input('enter number: '))
    original_number = number
    num_digits = len(str(number))
    sum_of_digits = 0

    while number > 0:
        digit = number % 10
        sum_of_digits += digit ** num_digits
        number //= 10

    if sum_of_digits == original_number:
        return True
    else:
        return False

result = isArmstrong(45)
if result:
    print('it is armstrong')
else:
    print('it is not armstrong')

# procedure without argument

def isArmstrong():
    number = int(input("enter number: "))
    original_number = number
    num_digits = len(str(number))
    sum_of_digits = 0

    while number > 0:
        digit = number % 10
        sum_of_digits += digit ** num_digits
        number //= 10

    if sum_of_digits == original_number:
        print(f"{original_number} is an Armstrong number.")
    else:
        print(f"{original_number} is not an Armstrong number.")

isArmstrong()

# procedure with argument

def isArmstrong(number):
    original_number = number
    num_digits = len(str(number))
    sum_of_digits = 0

    while number > 0:
        digit = number % 10
        sum_of_digits += digit ** num_digits
        number //= 10

    if sum_of_digits == original_number:
        print(f"{original_number} is an Armstrong number.")
    else:
        print(f"{original_number} is not an Armstrong number.")

isArmstrong(145)
---------------------------------------------------------------------------------------------


def MaxTwo(num1,num2):
    if num1>num2:
        return True
    else:
        return False

n1 =int(input('enter first num: '))
n2= int(input("enter second num: "))

result = MaxTwo(n1,n2)

if result:
    print("first number is greater")
else:
    print("second number is greater")
---------------------------------------------------------------------------------------------
def MaxThree(num1, num2):
    num3 = int(input('enter third num:'))
    if num1 >= num2:
        if num1 >= num3:
            greatest = num1

        else:
            greatest = num3
    else:
        if num2 >= num3:
            greatest = num2

        else:
            greatest = num3

    print(f"The greatest number among {num1}, {num2}, and {num3} is: {greatest}")


n1 = int(input('enter first num: '))
n2 = int(input("enter second num: "))

MaxThree(n1, n2)





































Comments











Post a Comment



















Popular posts from this blog









Building JavaScript Array Methods from Scratch in 2024 - Easy tutorial for beginners # 1






-














Image







  Hi guys, in this blog we will be build JavaScript array methods  as a function from JavaScript basics as it is great and simple way to refine your JavaScript programming skill and make your fundamentals strong as beginner and you’ll also know various JavaScript array methods along the way, we will start from easiest to more complex ones, i have try to keep it as beginner friendly as possible.  First, i will be introducing the array method with their example input and output, then we will examine those methods, identifying which programming tools  and tricks to used and in which order to arrange them.  Along that process we will build pseudocode algorithm for required function and later on, i will show you flowchart version of that algorithm,  the important tip that i can give to you all, to get most out of this blog, is to first  try to build it by yourself then come to this blog. 1. Array.isArray() :  So lets, start with simple one Array.isArray() method. The Arra...








Read more










A better way to learn programming.






-














Image







In this post, I will be talking about two methods to learn how to program.  The first method (common method) is a step-by-step tutorial approach like following a tutorial. It goes something like this: "Step one, create this component." The tutorial then provides you with detailed instructions on how to create that specific component. "Step two, do this," and you follow the next set of instructions. And when instructions finish you study and repeat the same instruction. This method gives you precise steps to follow. However, the issue here is that the person who created these steps went through a trial-and-error process themselves. They tried something, it didn't work, so they tried something else. They repeated this process until they found a solution that worked. What you're doing by following these steps is simply replicating their final result, which doesn't foster deep learning or problem-solving skills.  Second method: The better way to learn progra...








Read more










Thinking in React: A Guide to Building User Interfaces






-














Image







  Source code Building user interfaces can be a daunting task, especially when working with dynamic and interactive components. React, a popular JavaScript library developed by Facebook, simplifies this process by enabling developers to create reusable UI components. To utilize and harness the full power of React, it’s essential to adopt a specific mindset known as "Thinking in React". This approach involves breaking down the UI into components, managing state effectively, and ensuring a seamless data flow. In this article, we’ll explore the principles of Thinking in React and provide a step-by-step guide to building efficient and maintainable user interfaces with a practical example. And along the way we will map it to analogy for better understanding. Understanding the Core Principles Before diving into the practical aspects of Thinking in React, it’s important to grasp the core principles that underpin this methodology:     Component-Based Architecture : React promotes the...








Read more