How does Python parse data?

There are several methods in Python for parsing data, some common ones include:

1. You can utilize built-in string methods, like split() to divide a string into smaller substrings, and strip() to remove spaces, line breaks, and other characters from a string.
2. Regular expressions are used in Python’s re module to match and extract data based on specific patterns.
3. Utilize the built-in json module for parsing and generating JSON data. You can use the json.loads() method to convert a JSON string into a Python dictionary or list, and the json.dumps() method to convert a Python dictionary or list into a JSON string.
4. Utilizing third-party libraries, such as BeautifulSoup for parsing HTML and XML data, pandas for parsing and handling various data formats, and numpy for parsing and manipulating numerical data, can be beneficial.

These are just some common methods, depending on the specific format and requirements of the data, there may be other more suitable methods.