Built-in Data Types

| 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 |
Setting the Data Type
पायथन में, जब आप किसी वैरिएबल को मान देते हैं तो डेटा प्रकार सेट किया जाता है:
| x = "Hello World" | str | |
| x = 20 | int | |
| x = 20.5 | float | |
| x = 1j | complex | |
| x = ["apple", "banana", "cherry"] | list | |
| x = ("apple", "banana", "cherry") | tuple | |
| x = range(6) | range | |
| x = {"name" : "John", "age" : 36} | dict | |
| x = {"apple", "banana", "cherry"} | set | |
| x = frozenset({"apple", "banana", "cherry"}) | frozenset | |
| x = True | bool | |
| x = b"Hello" | bytes | |
| x = bytearray(5) | bytearray | |
| x = memoryview(bytes(5)) | memoryview |
Specific Data Type
यदि आप डेटा प्रकार निर्दिष्ट(Specify) करना चाहते हैं, तो आप निम्न निर्माण(Build) कार्यों का उपयोग कर सकते हैं:
| x = str("Hello World") | str | |
| x = int(20) | int | |
| x = float(20.5) | float | |
| x = complex(1j) | complex | |
| x = list(("apple", "banana", "cherry")) | list | |
| x = tuple(("apple", "banana", "cherry")) | tuple | |
| x = range(6) | range | |
| x = dict(name="John", age=36) | dict | |
| x = set(("apple", "banana", "cherry")) | set | |
| x = frozenset(("apple", "banana", "cherry")) | frozenset | |
| x = bool(5) | bool | |
| x = bytes(5) | bytes | |
| x = bytearray(5) | bytearray | |
| x = memoryview(bytes(5)) |
Python Program Console
Python Numbers
There are three numeric types in Python:
intfloatcomplex
x = 1 # int
y = 2.8 # floatz = 1j # complex

