Python built-in function bin adaptation scenario analysis

Used to convert integers into binary strings

1. Basic syntax and parameters

bin(x)

Parameters: x must be an integer (int type), or a custom object that implements the __index__() method (this method needs to return an integer).

Return value: a binary string starting with '0b'.

For example:

bin(5) # '0b101'
bin(-3) # '-0b11'
bin(0) # '0b0'

2. Core features

(1) Integer conversion rules

Positive number: convert directly to binary, such as bin(42) → '0b101010'  .

Negative number: expressed in complement form, with the prefix of '-0b', such as bin(-42) → '-0b101010'  .

Zero: Return '0b0'.

(2) Non-integer type processing

Passing non-integers (such as strings, floating point numbers) will trigger TypeError:

bin("10") # TypeError: 'str' object cannot be interpreted as an integer

(3) Custom object support

By implementing the __index__() method, the binary conversion logic of the object can be customized:

class MyClass:
    def __index__(self):
        return 255
obj = MyClass()
print(bin(obj)) # '0b11111111'

3. Method to remove the prefix '0b'

(1) String slice

binary_str = bin(10)[2:] # '1010'

(2) Format function

Use format() or f-string:

format(10, 'b') # '1010'
f"{10:b}" # '1010'

4. Internal mechanisms and performance

(1) Implementation principle

Integer storage: Python uses variable length complement to represent integers internally, and bin() generates binary strings through bitwise decomposition.

Algorithm complexity: The time complexity is O(log n) and the space complexity is the same.

(2) Performance comparison

Compared with other binary conversion functions (hex(), oct()), bin() has the fastest processing speed, especially suitable for large integers.

5. Practical application scenarios

(1) Bit operation and underlying operation

Combining bit operators (& , | , ^ ) for efficient data processing:

x = 0b1010
y = 0b1100
print(bin(x & y)) # '0b1000' # bitwise and

(2) Data compression and transmission

Convert data to binary format to reduce storage space:

text = "Hello"
binary_data = ''.join(bin(ord(c))[2:] for c in text) # Binary stitching def bit_reverse(n):
    return int(bin(n)[2:][::-1], 2) # Binary inversion

6. Things to note

Type limitation: Only integer types are supported, non-integers need to be converted in advance.

Negative number processing: Return to the complement form, pay attention to the influence of the sign bit.

Large integer support: Python can handle integers of arbitrary length, but the conversion time increases with the number of bits.

Summarize

bin() is a basic tool for processing binary data, suitable for bit operations, data encoding and algorithm optimization scenarios. Its concise syntax and efficiency make it a common function in Python programming, but attention should be paid to type limitations and negative number representation rules.

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