An easy-to-use software for creating, examining, and editing binary information.
Python-bitstring is a powerful Python module designed for analyzing, creating, and modifying binary data. With this module, you can interpret or construct underlying binary data in various forms like hexadecimal, octal or binary strings, signed or unsigned integers, and signed or unsigned Exponential Golomb coded integers. You can even use plain Python strings to create or operate on binary data.
The module comes with an inclusive set of unit tests, ensuring excellent performance and compatibility. It has been tested with various Python versions like 2.4, 2.5, and 2.6, so you can be sure of its reliability.
One notable example of using this module is different interpretations, slicing, and concatenating. You can use these functions to interpret, slice, or concatenate binary data strings in various ways. For instance, you can create a new BitString object with the uint and length arguments and then print its hexadecimal, binary, and unsigned integer equivalents using the .hex, .bin, and .uint attributes, respectively.
Another example is reading data sequentially. You can use this feature to access raw binary data from a file and then read it as a series of bits or bytes. For instance, you can create a new BitString object with the data argument and then read different parts of the data sequentially using the .readbytes and .readbits methods.
The Python-bitstring module also provides advanced functions like searching, inserting, and deleting binary data. You can use these methods to search for specific binary patterns, insert new data at specific positions, or delete data from specific positions in a binary string. For example, you can create a new BitString object with the bin argument and then use the .findbytealigned method to search for a specific byte in the binary data. You can also use the .insert and .deletebits methods to insert or delete data from specific positions in the binary string.
Overall, Python-bitstring is a valuable module for anyone who creates or works with binary data. Its comprehensive set of functions makes it easy to interpret, manipulate, and analyze binary data in various forms. It is also compatible with various Python versions, making it a reliable and stable module to work with.
The module comes with an inclusive set of unit tests, ensuring excellent performance and compatibility. It has been tested with various Python versions like 2.4, 2.5, and 2.6, so you can be sure of its reliability.
One notable example of using this module is different interpretations, slicing, and concatenating. You can use these functions to interpret, slice, or concatenate binary data strings in various ways. For instance, you can create a new BitString object with the uint and length arguments and then print its hexadecimal, binary, and unsigned integer equivalents using the .hex, .bin, and .uint attributes, respectively.
Another example is reading data sequentially. You can use this feature to access raw binary data from a file and then read it as a series of bits or bytes. For instance, you can create a new BitString object with the data argument and then read different parts of the data sequentially using the .readbytes and .readbits methods.
The Python-bitstring module also provides advanced functions like searching, inserting, and deleting binary data. You can use these methods to search for specific binary patterns, insert new data at specific positions, or delete data from specific positions in a binary string. For example, you can create a new BitString object with the bin argument and then use the .findbytealigned method to search for a specific byte in the binary data. You can also use the .insert and .deletebits methods to insert or delete data from specific positions in the binary string.
Overall, Python-bitstring is a valuable module for anyone who creates or works with binary data. Its comprehensive set of functions makes it easy to interpret, manipulate, and analyze binary data in various forms. It is also compatible with various Python versions, making it a reliable and stable module to work with.
What's New
Version 1.0.1: N/A