Python int() Function
Converts a string or number to an integer
int() function converts the specified value to integer. A value can be a number or a string, except complex numbers.
You can also specify the base (number formats like binary, hex, octal etc.) of the given value.
|value||Optional||A number or a string to be converted into an integer.
Default is 0.
|base||Optional||The number format of specified value.
Default is 10. Valid values are 0, 2-36.
Convert a Number to an Integer
x = 4.2 print(int(x)) # Prints 4
int() method does not round the number, it just returns integer part of a decimal number.
x = 4.99 print(int(x)) # Prints 4
If you omit both the arguments, the value is assumed as 0.
print(int()) # Prints 0
Convert a String to an Integer
The method can also convert a string to an integer.
x = '42' print(int(x)) # Prints 42 x = '1010' print(int(x)) # Prints 1010
You can also specify the base of the given value. Valid values are
If base is specified, then value must be a string.
# binary string x = '1110' print(int(x, 2)) # Prints 14 x = '0b1110' print(int(x, 2)) # Prints 14
# octal string x = '10' print(int(x, 8)) # Prints 8 x = '0o10' print(int(x, 8)) # Prints 8
# hex string x = 'F' print(int(x, 16)) # Prints 15 x = '0xF' print(int(x, 16)) # Prints 15
If the base is
0, the base used is determined by the format of value.
x = '0b1110' print(int(x, 0)) # Prints 14 x = '0o10' print(int(x, 0)) # Prints 8 x = '0xF' print(int(x, 0)) # Prints 15
Python Example for Beginners
Two Machine Learning Fields
There are two sides to machine learning:
- Practical Machine Learning:This is about querying databases, cleaning data, writing scripts to transform data and gluing algorithm and libraries together and writing custom code to squeeze reliable answers from data to satisfy difficult and ill defined questions. It’s the mess of reality.
- Theoretical Machine Learning: This is about math and abstraction and idealized scenarios and limits and beauty and informing what is possible. It is a whole lot neater and cleaner and removed from the mess of reality.
Data Science Resources: Data Science Recipes and Applied Machine Learning Recipes
Introduction to Applied Machine Learning & Data Science for Beginners, Business Analysts, Students, Researchers and Freelancers with Python & R Codes @ Western Australian Center for Applied Machine Learning & Data Science (WACAMLDS) !!!
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