Gain insights into Python by exploring basic to advanced concepts, including loops, classes, and GUIs with Tkinter. Delve into testing and become a productive Python programmer.

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In this course, you will get a comprehensive overview of Python. You will start by laying the foundation and learning the introductory topics like operators, conditional statements, functions, loops, assignment statements, and more. You will then move onto more advanced topics such as classes and inheritance, iterators, list comprehensions, and dictionaries. Along with this, you will also get to explore the concept of testing and take a look at how GUI applications can be designed using Tkinter, Python's standard GUI library. 

By the time you're done, you'll be able to hit the ground running and be equipped with the tools that will allow you to be productive in Python.

Python 3: From Beginner to Advanced

def is_prime(n):
    """Tests if a number n is prime."""
    if n <= 1: # Adding this condition
        return False
    divisor = 2
    while divisor <= n // divisor:
        if n % divisor == 0:
            return False
        divisor += 1
    return True

n = 1
print(is_prime(n))

## Explanation

Over here, we have to add in the condition for when `n` is less than or equal to 1, as you can see in **line 3** of the above code. If `n` is either **less than** or **equal to 1**, we simply return `False` since neither fall in the category of prime numbers.

Now, from **line 6**, begins our `while` loop where we check if the `divisor` variable is less than or equal to the results from the modulus operation that is applied between `n` and `divisor`. 

If it is, then at **line 7**, we need to check if the reminder that we get from dividing `n` with the `divisor` variable **is 0 or not**. If it's the former, we return `False` at **line 8** since it is not a prime number. If it is the latter, we increment the `divisor` variable at **line 9**. 

In the end, if the `divisor` variable keeps getting incremented until the loop condition is met and none of the end values gives a **remainder of 0** after dividing `n` from them, the function `is_prime` will return `True` at **line 10**.  

# Explanation

Over here, we have to add in the condition for when `n` is less than or equal to 1, as you can see in **line 3** of the above code. If `n` is either **less than** or **equal to 1**, we simply return `False` since neither fall in the category of prime numbers.

Now, from **line 6**, begins our `while` loop where we check if the `divisor` variable is less than or equal to the results from the modulus operation that is applied between `n` and `divisor`. 

If it is, then at **line 7**, we need to check if the reminder that we get from dividing `n` with the `divisor` variable **is 0 or not**. If it's the former, we return `False` at **line 8** since it is not a prime number. If it is the latter, we increment the `divisor` variable at **line 9**. 

In the end, if the `divisor` variable keeps getting incremented until the loop condition is met and none of the end values gives a **remainder of 0** after dividing `n` from them, the function `is_prime` will return `True` at **line 10**.  

This review explains the solution for the "checking prime" problem.

Introduction

The Absolute Bare Minimum

Better Tools

Classes

Getting Fancy

Testing

Graphical User Interfaces

Modules

Appendix

I Guess We're Doing Python Now Exam

Solution Review: Check Whether a Number is Prime

Solution

Explanation