Python Integers, Floats
Different data types we will encounter in Python
Numeric
Numeric variables take values which are numbers like 9, 3.14, 0, Inf
String
String variables are used to storing textual information
Boolean
Boolean variables have two modes either True or False. A definite judge of statements!
Datetime
These variables are used to store Date&time values such as 2020-08-01 12:23:54
Example for integers and floats:
Basic arithmetic operations
>>1+2
>>3-2
>>1*2
>>2**3
>>2/3
>>2//3
>>2%6 etc
About numbers
- A lot many different types of numbers are supported in Python like integers (int type), real numbers (float type), complex numbers. We will mostly use integer and floating-point numbers.
- Integers are just whole numbers, positive or negative. For example, 2 and -2 are examples of integers.
- Floating-point numbers in Python are notable because they have a decimal point in them, or use an exponential (E) to define the number. For example, 2.0 and -2.1 are examples of floating-point numbers. 4E2 (4 times 10 to the power of 2) is also an example of a floating-point number in Python.
- In computing, floating-point arithmetic is arithmetic using the formulaic representation of real numbers as an approximation to support a trade-off between range and precision. You can always control the number of digits coming after the decimal, hence they are called floating-point numbers
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