Example 1: python data types
# Here are the available types in Python. Use type() to find out what
# type your object is.
Text Type: str
Numeric Types: int, float, complex
Sequence Types: list, tuple, range
Mapping Type: dict
Set Types: set, frozenset
Boolean Type: bool
Binary Types: bytes, bytearray, memoryview
# Examples of types:
Strings: "This is a string"
'This is also a string'
"""
Triple quotes allow you to have multi-line strings and are
useful for automatically escaping "single quotes"
"""
Integers: 1
12345678901234567890 # Python 3 can represent huge numbers
# Use 0letter# to specify integers in other bases. Letters
# are: b for binary, o for octal, x or X for hexadecimal
0b10 = 2 in binary, 0o10 = 8 in octal, 0x10 = 16 in hexadecimal
# Still working on this answer...
Floats:
Complex:
Lists:
Tuples:
Ranges:
Dictionaries:
Sets:
Booleans:
...
Example 2: python data types
# Pyhton data types
# Integer
age = 18
# Float (AKA Floating point number)
current_balance = 51.28
# Boolean
is_tall = False # can be set to either True or False
# String
message = "Have a nice day"
# List
my_list = ["apples", 5, 7.3]
# Dictionary
my_dictionary = {'amount': 75}
# Tuple
coordinates = (40, 74) # can NOT be changed later
# Set
my_set = {5, 6, 3}
Example 3: what is the type of the data python
>>> type(1234)
<class 'int'>
>>> type(55.50)
<class 'float'>
>>> type(6+4j)
<class 'complex'>
>>> type("hello")
<class 'str'>
>>> type([1,2,3,4])
<class 'list'>
>>> type((1,2,3,4))
<class 'tuple'>
>>> type({1:"one", 2:"two", 3:"three"}
<class 'dict'>
Example 4: python data types
# Float
average_tutorial_rating = 4.01
# Integer
age = 20
# Boolean
tutorials_are_good = True # True or False
# arrays/lists
numbers = [1, 2, 3]
Example 5: python data types
#use syntax: variable = value
#string
string = 'ASCII text'
#integer
integer = 1234567890
#float
floatnum = 123.456
#list(called arrays in other languages)
numlist = [1,2,3,4,5]
#dictionary(called objects in other languages)
dictionary = {'key','value'}