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Chapter 9: Problem 34

When you open a file for the purpose of saving a pickled object to it, what file access mode do you use?

Short Answer

Expert verified
Answer: To save a pickled object, use the 'wb' (write binary) file access mode.

Step by step solution

01

Introduction to pickling

Pickling is the process of converting a Python object into a byte stream, which can be stored in a file or transmitted over a network. Python provides the 'pickle' module to facilitate pickling and unpickling (reconstructing) objects. It is commonly used to save an object's state for later use or to share it between different Python programs.
02

Python's file access modes

Python provides several file access modes for reading, writing, or appending data: 1. 'r': read mode, to read the contents of an existing file 2. 'w': write mode, creates a new file or overwrites an existing one 3. 'a': append mode, appends data to an existing file (or creates it if it doesn't exist) 4. 'x': exclusive creation mode, creates a new file but returns an error if the file exists 5. 'b': binary mode, read/write binary files (images, serialized objects, etc.) 6. 't': text mode (default), read/write text files These modes can be combined to achieve different goals. For example, 'rb' means reading a file in binary mode, and 'wt' means writing to a text file.
03

Pickling and file access mode

When pickling an object, you need to read or write the binary data representing the object. Therefore, the file must be opened in binary mode. Additionally, the file should be writable to save the pickled object. Thus, the appropriate file access mode for saving a pickled object is 'wb' (write binary). To open a file for pickling, use: with open('file.pickle', 'wb') as file: pickle.dump(your_object, file) Here, 'wb' mode is used to open the file for writing in binary mode, and 'pickle.dump()' writes the pickled data to the file.

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Most popular questions from this chapter

After the following code executes, what elements will be members of set3? set1 = set([1, 2, 3, 4]) set2 = set([3, 4, 5, 6]) set3 = set1.intersection(set2)

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