Q.Q.Nos. 20 and 21 are Assertion (A) and Reason (R) based questions. Mark the correct choice as (A) Both Assertion (A) and Reason (R) are true and Reason (R) is the correct explanation for Assertion (A). (B) Both Assertion (A) and Reason (R) are true and Reason (R) is not the correct explanation for Assertion (A). (C) Assertion (A) is true but, Reason (R) is false. (D) Assertion (A) is false but, Reason (R) is true. Assertion (A): For a binary file opened using 'rb' mode, the pickle.dump() method will display an error. Reason (R): The pickle.dump() method is used to read from a binary file.

Pickling Serialization: A First Look

Imagine you are writing a long letter to a friend. You have a clear picture in your mind of what you want to say — the ideas, the emotions, the order of events. But to send that letter, you must first put it into words on paper. You fold the paper, put it in an envelope, and post it. Your friend receives the envelope, opens it, and reads the words — and from those words, they reconstruct the same picture you had in your mind.

Pickling serialization works on exactly this principle, but for computer programs instead of human thoughts.

The Core Idea

A running program holds data in its memory — lists of names, dictionaries of prices, objects representing customers or products. This data exists only while the program is running. When the program closes, that data vanishes. Pickling is the process of taking that live, in-memory data and converting it into a form that can be saved to a file, sent over a network, or stored in a database. Later, another program — or the same program at a different time — can "unpickle" that saved form and get back the exact same data, ready to use again.

The name comes from the idea of preserving something — like pickling vegetables — so it lasts beyond its natural life.

Why It Matters

Without pickling, every time a program starts, it must rebuild all its data from scratch. That might mean reading a plain text file and parsing every line, or asking a user to re-enter information. Pickling saves the data in its native, structured form — so a dictionary remains a dictionary, a list remains a list, and even complex objects with multiple attributes come back exactly as they were.

This is especially important in situations where data is built up gradually. Think of a shopping cart on an e-commerce website. You add items one by one. If the site did not pickle that cart data between page loads, your cart would empty every time you clicked a new link. Pickling allows the program to save the cart's state and restore it when you return.

How It Works in Practice

The process has two halves:

• Pickling (serialization): The program takes its data structure and writes it to a file or a byte stream in a special format that preserves the structure — including what type of data each piece is, and how the pieces relate to each other.
• Unpickling (deserialization): Another program (or the same one later) reads that file or byte stream and reconstructs the original data structure exactly.

The format is not meant to be human-readable like a text file. It is designed for machines — fast to write, fast to read, and precise in preserving structure.

Where You See It

Pickling appears in many everyday computing scenarios:

• Saving game progress — your character's level, inventory, and position are pickled to a save file
• Session persistence — a web server pickles your login session so you do not have to log in again on every page …