Ask Programiz - Human Support for Coding Beginners

Hi Ramcharan,

Yes, you can use quotes around numbers in print(), but it changes what you're printing.

For example:

print(65.6)      # prints a number  
print("65.6")    # prints a string that looks like a number

Both will display 65.6, but the first one is a number, and the second is a string. Python treats them differently.

If you're just printing a value, both work. But if you want to use that value later for math, keep it as a number — don’t put it in quotes.

If you have more questions, I am here to help.

Hi Sarravanabavan,

Good question — and it depends on the context.

In programming, indexing usually starts at 0. So in Python, for example:

matrix[0][0]  # first row, first column

But in mathematics, people usually count rows and columns starting from 1. So what programming calls "column 0", math might refer to as "column 1".

If you're learning from a math-based explanation or a textbook, it's normal to see columns numbered from 1. But if you're working with actual code, like Python or NumPy, indexing starts from 0.

So you're not doing anything wrong — it's just two different conventions.

If you have more questions, I am here to help.

Hi Michael,

Yes, they are! In Python, and, or, and not are called logical operators. They're used to work with boolean values — True and False — and control the flow of your program based on conditions.

Here’s what each one does:

• and → returns True only if both conditions are true

• or → returns True if at least one condition is true

• not → flips the value: not True becomes False, and vice versa

Example:

age = 23
is_member = True

if age >= 18 and is_member:
    print("You can buy the offer!")
else:
    print("Sorry, offer not available.")

So yes — these are definitely operators, just like + or ==, but used for logic.

If you have more questions, I am here to help.

Hi Deborah,

A Boolean expression is a statement that evaluates to either True or False.

For example:

x = 10

if x > 5:
    print("x is greater than 5")

Here, x > 5 is the Boolean expression. Since it’s true, the code inside the if block runs.

Boolean expressions are used in conditions to control the flow of a program — like in if, while, or logical checks.

If you have more questions, I am here to help.

Using else is helpful even if you might get the same output using if twice. Here's why:

When you use an if statement followed by an else, you're creating a clear and organized structure that makes your code easier to read and understand.

The else ensures that if the initial if condition isn't met, a secondary block of code is executed by default.

Let's break it down with an example of checking the weather:

weather = input("What's the weather? ")

The if statement checks if the weather is "raining":

If weather == "raining":
    print("Carry an umbrella.")

The else comes in for every other possibility:

else:
   print("Enjoy the day.")

This way, the program handles multiple possibilities with just a few lines. If you used two if statements instead, like this:

if weather == "raining":
   print("Carry an umbrella.")

if weather != "raining":
   print("Enjoy the day.")

The logic still works, but it's less efficient and can make the code harder to maintain, especially as your programs grow.

The compact if...else not only neatly addresses both outcomes, but also signifies clear alternate paths in decision-making.

Hi iad Keekouri,

Python ignores comments because comments are not for the computer, they are for people.

We use # comments to:

• Explain what the code is doing, so it is easier to understand later.

• Leave reminders for yourself, especially when you come back to the code after a few days.

• Make code easier for others to read if you share it.

• Temporarily disable a line without deleting it.

Example:

# This prints the first number
print(6)

# print(8)  # This line is disabled for now
print(88.3)

So even though Python does not run comments, they help you write cleaner code and avoid confusion.

If you have more questions, I am here to help 😊

Hi YED Mohammed Tayeeb,

A floating-point number, or float, is simply a number that has a decimal point.

Examples of floats:

• 3.14

• 0.5

• -2.75

In Python:

• 10 is an integer (whole number)

• 10.0 is a float (decimal number)

We use floats when we need to work with values that are not whole numbers, like height, weight, temperature, or averages.

One small note: floats can sometimes show tiny rounding differences because computers store decimals in an approximate way. For example, you might see something like 0.30000000000000004 when you expect 0.3. That is normal with floats.

If you have more questions, I am here to help 😊

Hi Val Galoy,

In Python, there is no real technical difference. Both ' ' and " " create the same type of string.

People choose one over the other to make writing easier when the text already contains quotes.

Example:

print('She said, "Hello!"')
print("It's a sunny day!")

If you have more questions, I am here to help 😊

Hi Anjum Javed,

A compiler translates your whole program into machine code first, then you run the compiled program. This is common in languages like C and C++.

An interpreter runs your code by reading it and executing it step by step, so you can run your program right away without a separate build step.

Python is often called interpreted because you usually run .py files directly using the Python interpreter. One extra detail that helps: Python first converts your code into bytecode, then the Python interpreter runs that bytecode for you. So you still get the simple run-it-now experience.

If you have more questions, I am here to help 😊

Hi there! A lambda function in Python is a neat way to create small, anonymous (unnamed) functions without the usual def statement.

A lambda function is essentially a compact way to write simple functions. It's useful when you need a function for a short period, or you want to use the function just once in your program.

Here's a quick example to illustrate a lambda function:

# Regular function to add 10 to a number
def add_ten(x):
    return x + 10

# Lambda function to add 10 to a number
add_ten_lambda = lambda x: x + 10

print(add_ten(5))           # Output: 15
print(add_ten_lambda(5))    # Output: 15

In the above example, add_ten_lambda is a lambda function that performs the same task as the regular function add_ten, but it’s more concise.

Here’s the basic syntax of a lambda function:

lambda argument(s): expression

Use it whenever you need a quick, throwaway function. It fits well for short-term use like sorting, filtering, or operations involving built-in functions.

Hope this helps! Feel free to ask more if needed!