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Commita10f944

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Enhance documentation for built-in functions
- Updated examples and explanations for the following built-in functions: - bin() - complex() - delattr() - dict() - divmod() - globals() - hasattr() - hash() - id() - __import__() - isinstance() - iter() - locals() - max() - memoryview() - min() - next() - object() - oct() - ord() - pow() - property() - repr() - reversed() - round() - set() - setattr() - sorted() - sum() - super() - tuple() - vars() - zip()- Added new examples and clarified usage for better understanding.
1 parentc98ec74 commita10f944

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-206
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‎.gitignore‎

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.vite-ssg-temp
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coverage
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.env
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.github/prompts/custom.prompt.md

‎docs/builtin/bin.md‎

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</base-disclaimer-content>
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</base-disclaimer>
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##Examples
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The`bin()` function converts an integer into its binary representation. The resulting string is prefixed with "0b" to indicate that it's a binary number.
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```python
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>>>bin(1)
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# '0b1'
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>>>bin(10)
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# '0b1010'
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###Examples
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>>>bin(100)
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# '0b1100100'
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Here are a few examples of how to use`bin()`:
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>>>bin(1000)
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# '0b1111101000'
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```python
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# Convert integers to binary
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print(bin(2))# Output: 0b10
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print(bin(7))# Output: 0b111
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# The original examples
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print(bin(1))# Output: 0b1
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print(bin(10))# Output: 0b1010
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print(bin(100))# Output: 0b1100100
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print(bin(1000))# Output: 0b1111101000
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```
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<empty-section />
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‎docs/builtin/complex.md‎

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</base-disclaimer-content>
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</base-disclaimer>
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##Examples
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The`complex()` function creates a complex number. It can take a real and an imaginary part as arguments. If only one argument is provided, it's considered the real part, and the imaginary part is zero.
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###Examples
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**Creating complex numbers:**
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```python
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# With real and imaginary parts
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print(complex(3,4))# Output: (3+4j)
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# With only a real part
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print(complex(5))# Output: (5+0j)
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# From a string
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print(complex("2+3j"))# Output: (2+3j)
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```
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Here is the original example:
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```python
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>>>complex(1)
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>>>complex('100')
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# (100+0j)
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```
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<empty-section />
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‎docs/builtin/delattr.md‎

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</base-disclaimer-content>
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</base-disclaimer>
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The`delattr()` function is used to delete an attribute from an object. It takes two arguments: the object and the name of the attribute to delete (as a string). It's the counterpart to`setattr()`.
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###Examples
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**Deleting an attribute from an object:**
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```python
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classPerson:
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def__init__(self,name,age):
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self.name= name
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self.age= age
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>>> person= Person("John",30)
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>>>delattr(person,'age')
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>>> person.__dict__
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# {'name': 'John'}
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person= Person("John",30)
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print(person.__dict__)# Output: {'name': 'John', 'age': 30}
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delattr(person,'age')
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print(person.__dict__)# Output: {'name': 'John'}
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```
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**Trying to delete a non-existent attribute:**
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```python
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classCar:
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def__init__(self,make,model):
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self.make= make
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self.model= model
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>>>car= Car("Toyota","Corolla")
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>>>try:
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...delattr(car,'year')
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...exceptAttributeErroras e:
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...print(f"Error:{e}")
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car= Car("Toyota","Corolla")
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try:
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delattr(car,'year')
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exceptAttributeErroras e:
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print(f"Error:{e}")
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# Error: 'Car' object has no attribute 'year'
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```
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<empty-section />
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‎docs/builtin/dict.md‎

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</base-disclaimer-content>
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</base-disclaimer>
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##Examples
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The`dict()` constructor creates a new dictionary. A dictionary is a collection of key-value pairs.
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You can create an empty dictionary, or create a dictionary from keyword arguments or from an iterable of key-value pairs.
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###Examples
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**Create an empty dictionary:**
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```python
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my_dict=dict()
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print(my_dict)# Output: {}
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```
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**Create a dictionary with keyword arguments:**
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```python
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my_dict=dict(name="John",age=30)
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print(my_dict)# Output: {'name': 'John', 'age': 30}
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```
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**Create a dictionary from a list of tuples:**
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```python
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my_list= [('name','Jane'), ('age',25)]
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my_dict=dict(my_list)
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print(my_dict)# Output: {'name': 'Jane', 'age': 25}
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```
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```python
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>>> a=dict()
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>>>type(a)
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# <class 'dict'>
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```
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<empty-section />
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‎docs/builtin/divmod.md‎

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</base-disclaimer-content>
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</base-disclaimer>
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##Examples
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The`divmod()` function takes two numbers as arguments and returns a tuple containing the quotient and the remainder of their integer division. It's a convenient way to get both results in a single call.
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###Examples
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```python
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>>>divmod(2,2)
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# (1, 0)
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>>>divmod(10,2)
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# (5, 0)
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>>>divmod(7,2)
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# (3, 1)
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```
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# Get quotient and remainder
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quotient, remainder=divmod(10,3)
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print(quotient)# Output: 3
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print(remainder)# Output: 1
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<empty-section />
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# Original examples
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print(divmod(2,2))# Output: (1, 0)
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print(divmod(10,2))# Output: (5, 0)
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print(divmod(7,2))# Output: (3, 1)
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```

‎docs/builtin/globals.md‎

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</base-disclaimer-content>
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</base-disclaimer>
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<empty-section />
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The`globals()` function in Python returns a dictionary representing the current global symbol table. This includes all global variables, functions, and other objects in the current scope.
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It can be useful for inspecting the global namespace or for dynamically accessing global variables by their string names.
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###Examples
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```python
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# Define a global variable
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global_var="I am global"
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defmy_function():
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# Access global variables using globals()
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global_dict=globals()
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print(global_dict["global_var"])# Output: I am global
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# Modify a global variable
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global_dict["global_var"]="Modified global"
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my_function()
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print(global_var)# Output: Modified global
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```
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You can also use`globals()` to create new global variables from within a function:
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```python
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defcreate_global():
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globals()["new_global"]="This was created dynamically"
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create_global()
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print(new_global)# Output: This was created dynamically
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```

‎docs/builtin/hasattr.md‎

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</base-disclaimer-content>
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</base-disclaimer>
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<empty-section />
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The`hasattr()` function checks if an object has a given attribute. It takes the object and the attribute name (as a string) as arguments and returns`True` if the attribute exists, and`False` otherwise.
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###Example
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```python
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classPerson:
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name="John"
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age=30
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p= Person()
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print(hasattr(p,'name'))# Output: True
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print(hasattr(p,'age'))# Output: True
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print(hasattr(p,'email'))# Output: False
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```

‎docs/builtin/hash.md‎

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</base-disclaimer-content>
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</base-disclaimer>
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##Examples
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The`hash()` function returns an integer representing the hash value of an object. This is primarily used by dictionaries to quickly look up keys.
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Only "hashable" objects can be passed to`hash()`. An object is hashable if it has a hash value that never changes during its lifetime. All of Python's built-in immutable types (like strings, numbers, and tuples) are hashable, while mutable containers (like lists and dictionaries) are not.
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###Examples
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```python
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>>>hash(1)
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# 1
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>>>hash('1')
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# -3658718886659147670
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>>>hash('10')
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# 5216539490891759533
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```
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# Hash of an integer is the integer itself
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print(hash(1))# Output: 1
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print(hash(1.0))# Output: 1 (1 and 1.0 are equal)
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<empty-section />
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# Hash of a string (output varies)
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print(hash('hello'))
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# Hash of a tuple (output varies)
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print(hash((1,2,3)))
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# Trying to hash a list will raise a TypeError
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try:
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hash([1,2,3])
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exceptTypeErroras e:
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print(e)
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# Output: unhashable type: 'list'
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```

‎docs/builtin/id.md‎

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</base-disclaimer-content>
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</base-disclaimer>
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##Examples
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The`id()` function returns a unique integer that identifies an object in memory. This ID is guaranteed to be unique for the lifetime of the object. It's essentially the memory address of the object.
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###Examples
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```python
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>>>id(1)
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# 9788960
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>>>id('1')
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# 140269689726000
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>>>id([1,2])
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# 140269672924928
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```
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x=10
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y=10
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z=20
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<empty-section />
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print(id(x))# Output might be something like 4331368528
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print(id(y))# Output will be the same as id(x) because Python caches small integers
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print(id(z))# Output will be different
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# Original examples
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print(id(1))
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print(id('1'))
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print(id([1,2]))
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```

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