pickle.dump converts Python objects into a byte stream that can be saved to files and later reconstructed. This process is called serialization, making it crucial for data storage and transfer. One of the key advantages of pickle.dump is its ability to handle various Python data types, including lists, dictionaries, and custom objects.

The pickle.dump function is used to pickle an object and write the pickled representation to a file object or other writable streams. It takes at least two arguments: the object to be pickled and the file object or stream to which the pickled data will be written.

Output: In this example, we will use a pickle file to first write the data in it using the pickle.dump () function. Then using the pickle.load () function, we will load the pickle fine in Python script and print its data in the form of a Python dictionary.

The Pickle dump() and dumps() functions are used to serialize an object. The only difference between them is that dump() writes the data to a file, while dumps() represents it as a byte object. Similarly, load() reads pickled objects from a file, whereas loads() deserializes them from a bytes-like object.