User:Niraj/Teaching-7

Teaching lesson plan 7 Subject: Python programming

Date: 22 Jan 2024

Time: 60 minutes

Period: 3rd

Teaching Item: Using Pickle to Write Binary Files

Class: Bachelor

Objective: By the end of this lesson, students will be able to:

1. Understand the purpose and functionality of the pickle module in Python.
2. Learn how to use pickle to serialize Python objects and write them to binary files.
3. Practice writing and reading binary files using pickle.

Materials Needed:

• Python interpreter or IDE
• Projector for demonstration

Introduction (5 minutes):

1. Introduce the concept of serialization and its importance in data storage and transmission.
2. Discuss the need for a mechanism to convert Python objects into a format that can be written to and read from binary files.
3. Introduce the pickle module as a Python library that provides serialization and deserialization functionalities.

Explanation of Pickle (10 minutes):

1. Define serialization as the process of converting a Python object into a byte stream.
2. Introduce pickle as a module in Python that enables serialization of Python objects.
3. Discuss the advantages of using pickle for serialization, such as support for serializing complex data structures and preserving object references.
4. Explain that pickle produces a binary representation of the object, making it suitable for writing to binary files.

Using Pickle to Write Binary Files (15 minutes):

1. Demonstrate how to use pickle to write Python objects to binary files.
2. Discuss the dump() function in the pickle module, which writes the serialized object to a file object.
3. Show examples of serializing Python objects, such as dictionaries, lists, or custom objects, and writing them to binary files using pickle.
4. Discuss error handling techniques, such as using try-except blocks, when writing binary files with pickle to handle exceptions like FileNotFoundError.

Reading Binary Files with Pickle (10 minutes):

1. Explain the process of reading binary files containing pickled objects.
2. Discuss the load() function in the pickle module, which deserializes the binary data from a file object.
3. Demonstrate how to open a binary file for reading and load pickled objects from it using pickle.
4. Show examples of reading and deserializing pickled objects from binary files using pickle.

Practical Exercises (10 minutes):

1. Provide students with exercises to practice using pickle to write and read binary files.
2. Encourage them to serialize different types of Python objects and write them to binary files, then read and deserialize the objects from the files.
3. Circulate around the classroom to provide assistance and guidance as needed.

Conclusion (5 minutes):

1. Summarize the key points covered in the lesson: using pickle to write and read binary files in Python.
2. Reiterate the importance of understanding serialization for data storage and transmission.
3. Encourage students to continue practicing and experimenting with pickle to serialize and deserialize Python objects for various applications.
4. Invite questions from students and address any remaining doubts or confusion.

Assessment:

• Informal assessment through observation of students' participation in discussions and activities.
• Review students' completed exercises or tasks to assess their understanding of using pickle to write and read binary files in Python.