Hey, sorry for the delay.


"""to_be_guessed =int(n*random.random())+1"" is used to keep the range of the number between 1 and 20.
random.random() gives you a random number less than zero in floating point
Ex: print (random.random()) will give 0.95795482028667 as output, which is less than zero and not suitable for our code.
n*random.random() is done so that when another number is multiplied with the random number generated, the value becomes more than zero.
But suppose n=1, then n*random.random() will give the same number that is less than 1. To avoid this, we add 1 to n*random.random().
Finally, (n*random.random())+1 will result in a number greater than 0 and less than or equal to 20.
And then this number is converted to int type from float.
Hence, we use the line ""to_be_guessed =int(n*random.random())+1"""



Hope this helps!

Hello @SaimDiscoveries, great question! This line of code is used to generate a random number within a specific range - in this case 0 to 20. Let's break it down:

1. `random.random()` generates a random floating point number in the range [0.0, 1.0). Essentially, it just gives you a random decimal number between 0 (inclusive) and 1 (exclusive).

2. `n*random.random()` will generate a random floating-point number in the range [0.0, n). What it does is it multiplies n (which we have assigned the value of 20) with that random decimal. This results in a random floating point number between 0 and n.

3. `int(n*random.random())` is used to convert our random floating-point number to a random integer. The `int()` function trims the decimal part and gives us a whole number.

4. Finally, `int(n*random.random())+1` ensures our number falls within the range of 1 to 20. This is because in Python, the upper value in a range function is exclusive and we want to include 20 in our possibilities. By adding 1, we shift our range of possible values up by one.

Hence, `to_be_guessed =int(n*random.random())+1` will result in a random number between 1 and 20 (inclusive). I hope this clarifies your doubt, happy learning!

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Congratulations @5_alenrenny567! We are delighted to know that our content has been helpful to you. Achieving the first place in a programming competition is no small feat, and we're honored to have contributed to your success. Stay tuned for more informative videos on Python and other programming languages. Remember, "Happy Learning!" is not just a tag line for us, it's our mission. Keep exploring, coding, and winning!

Hi : ) We really are glad to hear this ! Truly feels good that our team is delivering and making your learning easier :) Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )

We're thrilled to hear that our video helped to clarify your understanding of loops within Python, @k.g.goletar6881! That's exactly why we're here: to make complex programming concepts a little easier to grasp. Remember that practice is key when it comes to mastering these ideas. You might want to try devising your own practical applications for each loop type, as it's a great way to practice your new skills. Feel free to reach out with any further questions you have. Happy coding!

Hey Mahalaxmi, "A for loop runs for a pre-determined number of times. So, it can iterate through an array from start to finish, say, but it will only ever loop for that specific number.

A while loop will carry on until a pre-determined scenario takes place. That may happen immediately, or it may require a hundred iterations. So, the number of loops is governed by an outcome, not a number."

Hope this helps!

Thank you for your question @mahalaxmihiremath1423! Good observation, you can definitely use a for loop instead of a while loop in the nested loop example. The effect of the operation will remain similar, but the condition checking and incrementing method will be different.

If you use a 'for' loop, you'd initiate a sequence or range within the loop declaration itself, stating where to begin and end the loop. You also wouldn't have to manually handle the increment or decrements (like we do in while loop with the 'chances' variable, decrementing on each incorrect PIN attempt).

Just remember to make consequential changes to the rest of the code (like user prompts and decision handling) to have it align with the way a for loop processes its data. Happy coding! We're here to help if you have more questions. Happy learning!

Thank you 😊 Glad it was helpful!!

Hi @mangeshraj8913, we're delighted to hear that you loved the video. At edureka, our goal is to deliver informative and engaging content. If you have any queries or doubts concerning Python loops or any other topics, feel free to ask. Remember to check out our other videos for more learning. Happy coding!

Yes, there is a module called as random which is used to generate random numbers. But to use them, we would need to call the random file. That is the reason we import random. Once the random file/module is imported, we need to call the random function, that's the reason we have random.random() where the first random is the built-in file and the second random() is the function to generate the random number.

Hello @vyshnavipolepalle5562, great question! In Python, 'random' is a built-in module that can be used to generate random numbers. That means it comes with Python, no need for extra installations.

When we say 'import random', we are importing this module to our code so we can use the functions it provides.

As for 'random.random()', it's a built-in function in the random module. Calling 'random.random()' generates a random float number between 0.0 and 1.0.

The initial 'random' refers to the random module, and the second 'random()' is the function we're calling from that module. Thus, 'random.random()' means we're calling the 'random()' function from the 'random' module.

I hope this clears up your confusion. If you have any more queries, feel free to ask. Happy learning!

Hi : ) We really are glad to hear this ! Truly feels good that our team is delivering and making your learning easier :) Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )

Thank you, @suryabh2307! We're thrilled that you found the explanation clear. If you have any more questions or topics you'd like us to cover about Python programming or if there's anything else you don't understand, feel free to ask! Keep learning and coding with us on edureka!. Happy Learning!

Looking at the code, the execution will go on until the count is 0, that means you will be able to give the pin 3 times. In the incorrect pin statement there is no break statement. so the loop continues to execute the next statements.

Hello @suneetachauhan1984, thanks for your question! The key lies in understanding the purpose of the `end` argument in the `print()` function. By default, the `end` argument is set to '\n' which adds a newline at the end of the print statement. So, when you write `print('the correct pin', end='\n')`, the cursor does actually move to the end of the line or the start of a new line as expected.

However, if you meant that the cursor does not move onto the next line automatically after each print statement, it's because the '\n' character is skipped when you're using `input()`. In Python, `input()` strips whitespace characters, including '\n', from the beginning and end of the entered string.

Hope this clarifies your doubt! Please feel free to ask if you have any more questions. Happy coding!

Hey Saxena! Its there to increase the counter variable by 1. So, in the while loop, since we want a set of actions to be executed till the condition is satisfied. we use this counter variable to iterate to each and every step.
Hope this helps!

Great question, @arihantsaxena4757! The part `count = count + 1` in the while loop is used to increment the value of `count` by one in every loop iteration. This is important to ensure that the loop doesn't run indefinitely. If we didn't increment `count`, its value would always stay at 0 and the condition `count < 9` would always be true, causing an infinite loop. By incrementing `count`, we ensure that at some point `count` will be equal to 9, our loop will stop, and Python will move onto the next lines of code. Always remember, controlling the condition is crucial in loops to avoid infinite iterations. Hope this clarifies your doubt! Happy coding!

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Thank you for your kind words, @denniskamonde6836! We're glad you found the video helpful. If you have any questions or doubts about Python loops, feel free to ask. Don't forget to check out our other videos for more Python learning resources. Happy Learning!