
PYTHON — Integers in Python
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# Understanding Integers in Python
Integers are whole numbers with no decimal places in Python, represented by the int data type. In this tutorial, we will delve into creating integers, understanding different numeral systems, and using the int() function in Python.
Creating Integers
The quickest way to create an integer in Python is by writing an integer literal consisting of digits. For example, typing 42 in the Python interpreter creates an integer. You can use the type() function to confirm that it's an integer.
num = 42
print(type(num)) # Output: <class 'int'>Integers also include negative numbers and large numbers, which can be made more readable by using underscores to delimit groups of digits.
big_num = 10_000_000_000
print(big_num) # Output: 10000000000Different Numeral Systems
Python allows expressing integers using different numeral systems. For instance, the number 42 can be represented in binary, hexadecimal, or octal systems by prefixing the integer literal with 0b, 0x, or 0o respectively.
binary_num = 0b101010 # Output: 42
hex_num = 0x2a # Output: 42
octal_num = 0o52 # Output: 42Using the int() Function
The int() function in Python is used to convert a value to an integer. When called without a specific value, it returns 0. You can pass different numeral systems as the second argument to interpret a string of digits in that base.
num_str = "42"
num_int = int(num_str) # Output: 42
num_bin = int("101010", 2) # Output: 42Additionally, the int() function can be used to truncate the fractional part of a floating-point number.
float_num = 3.14
int_num = int(float_num) # Output: 3Conclusion
In this tutorial, we explored various ways of creating and manipulating integers in Python. We discussed creating integers through literals, understanding different numeral systems, and using the int() function for conversions. This knowledge will be crucial as you continue to work with numerical data in Python.






