Immutable vs mutable data types in python
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This document discusses data types in Python including type casting, immutable vs mutable data types. It provides examples of type casting integers, floats, booleans, strings and complexes to other types using functions like int(), float(), bool() etc. It explains that mutable data types like lists, bytes arrays, sets and dictionaries can be changed after creation while immutable types like numeric values, strings, frozen sets and tuples cannot be changed once created.
![Type Casting/Type Conversion in Python
Int(x)
int (10)
int(10.20)
int('10')
int('10.20')
int(0b1010)
int(true)
int(A)
int(true)
float(x) complex(x,y) bool() str()
float (10)
float (10.20)
float ('10')
float ('10.20')
float (0b1010)
float (true)
float (A)
float (true)
complex(10)
complex(10.20)
complex('10')
complex('10.20')
complex(0b1010)
complex(true)
complex(A)
complex(true)
bool(0)
bool(0.0)
book(0+0j)
bool('')
bool([])
bool(0)
bool(none)
bool(* *)
str(complex(10,20))
srt('python')
str('10.20')](https://image.slidesharecdn.com/immutablevsmutabledatatypesinpython-210621105357/85/Immutable-vs-mutable-data-types-in-python-2-320.jpg)
![A first fundamental distinction that Python makes on data
is about whether or not the value of an object changes.
If the value can change, the object is called mutable, while
if the value cannot change, the object is called immutable.
( ) Vs [ ]
Immutable vs Mutable Data Types in
Python](https://image.slidesharecdn.com/immutablevsmutabledatatypesinpython-210621105357/85/Immutable-vs-mutable-data-types-in-python-4-320.jpg)
Immutable vs mutable data types in python
- 1. Data Types in Python Swipe
- 2. Type Casting/Type Conversion in Python Int(x) int (10) int(10.20) int('10') int('10.20') int(0b1010) int(true) int(A) int(true) float(x) complex(x,y) bool() str() float (10) float (10.20) float ('10') float ('10.20') float (0b1010) float (true) float (A) float (true) complex(10) complex(10.20) complex('10') complex('10.20') complex(0b1010) complex(true) complex(A) complex(true) bool(0) bool(0.0) book(0+0j) bool('') bool([]) bool(0) bool(none) bool(* *) str(complex(10,20)) srt('python') str('10.20')
- 3. Immutable vs Mutable Data Types in Python By now you may have heard the phrase “everything in Python is an object”. Objects are abstraction for data, and Python has an amazing variety of data structures that you can use to represent data, or combine them to create your own custom data.
- 4. A first fundamental distinction that Python makes on data is about whether or not the value of an object changes. If the value can change, the object is called mutable, while if the value cannot change, the object is called immutable. ( ) Vs [ ] Immutable vs Mutable Data Types in Python
- 5. Mutable Data Type in Python Mutable Data Types List Bytes arrays Sets Dictionaries Note:- Mutable sequences can be changed after creation. Some of Python’s mutable data types are: lists, byte arrays, sets, and dictionaries.
- 6. Immutable Data Type in Python Immutable Data Types Numeric Data Types Strings and Bytes Frozen Sets Tuples Note:- Immutable can not be changed after creation. Some immutable types include numeric data types, strings, bytes, frozen sets, and tuples.
- 7. Mutable vs Immutable Data type in Python Stay Tuned with Topics for next Post