19 Practice Questions For File Handling in Python [With Answers]

These practice questions should help you reinforce your understanding of file handling in Python. Feel free to experiment with them and explore more advanced concepts as well!

Question: How do you open a file in Python for reading?

Answer: To open a file for reading in Python, you can use the open() function with the mode parameter set to "r". Example: file = open("example.txt", "r")

Question: How do you read the contents of a file in Python?

Answer: You can read the contents of a file in Python by using the read() method. Example: content = file.read()

Question: How do you write to a file in Python?

Answer: To write to a file in Python, you can use the write() method. Example: file.write("Hello, World!")

Question: How do you close a file in Python?

Answer: To close a file in Python, you can use the close() method. Example: file.close()

Question: How do you check if a file exists in Python before opening it?

Answer: You can check if a file exists in Python using the os.path.exists() function. Example: import os.path; exists = os.path.exists("example.txt")

Question: How do you open a file in Python for writing?

Answer: To open a file for writing in Python, you can use the open() function with the mode parameter set to "w". Example: file = open("example.txt", "w")

Question: How do you open a file in Python in binary mode?

Answer: To open a file in binary mode in Python, you can use the open() function with the mode parameter set to "rb" for reading or "wb" for writing. Example: file = open("example.bin", "rb")

Question: How do you append content to a file in Python?

Answer: To append content to a file in Python, you can use the open() function with the mode parameter set to "a". Example: file = open("example.txt", "a")

Question: How do you read a specific number of characters from a file in Python?

Answer: You can use the read() method with a parameter specifying the number of characters to read. Example: content = file.read(10)

Question: How do you read a line from a file in Python?

Answer: You can use the readline() method to read a single line from a file. Example: line = file.readline()

Question: How do you read all the lines from a file into a list in Python?

Answer: You can use the readlines() method to read all the lines from a file into a list. Example: lines = file.readlines()

Question: How do you iterate over the lines of a file in Python?

Answer: You can use a for loop to iterate over the lines of a file. Example: for line in file: print(line)

Question: How do you check if a file is closed in Python?

Answer: You can use the closed attribute of a file object to check if a file is closed. Example: is_closed = file.closed

Question: How do you rename a file in Python?

Answer: You can use the os.rename() function to rename a file in Python. Example: import os; os.rename("old.txt", "new.txt")

Question: How do you delete a file in Python?

Answer: You can use the os.remove() function to delete a file in Python. Example: import os; os.remove("example.txt")

Question: How do you check if a file or directory exists in Python?

Answer: You can use the os.path.exists() function to check if a file or directory exists. Example: import os.path; exists = os.path.exists("example.txt")

Question: How do you get the size of a file in Python?

Answer: You can use the os.path.getsize() function to get the size of a file in bytes. Example: import os.path; size = os.path.getsize("example.txt")

Question: How do you create a directory in Python?

Answer: You can use the os.mkdir() function to create a directory in Python. Example: import os; os.mkdir("new_dir")

Question: How do you check if a path is a file or a directory in Python?

Answer: You can use the os.path.isfile() and os.path.isdir() functions to check if a path is a file or a directory, respectively. Example: import os.path; is_file = os.path.isfile("example.txt")

Is file handling easy in Python?

Yes, file handling in Python is generally considered easy and straightforward. Python provides built-in functions and methods that make working with files convenient.

When it comes to reading a file in Python, there are a few best practices you can follow:

1. Use a context manager (the with statement): It is recommended to use a context manager (with statement) when working with files. This ensures that the file is automatically closed after you’re done with it, even if an exception occurs. Example:

with open("example.txt", "r") as file:
    # Read or perform operations on the file
    content = file.read()
    # Continue working with 'file' in the indented block
# File is automatically closed here
Code language: Python (python)

2. Read files line by line: Instead of reading the entire file into memory at once, it’s often more efficient to read files line by line, especially when dealing with large files. You can use a for loop to iterate over the lines of a file:

with open("example.txt", "r") as file:
    for line in file:
        # Process each line
        print(line)
Code language: Python (python)

3. Handle exceptions: It’s good practice to handle exceptions that may occur while reading files. For example, if the file does not exist or there are permission issues. You can use a try-except block to catch and handle any potential exceptions.

try:
    with open("example.txt", "r") as file:
        # Read or perform operations on the file
        content = file.read()
        # Continue working with 'file' in the indented block
except FileNotFoundError:
    print("File not found.")
except PermissionError:
    print("Permission denied.")
/Code language: Python (python)

By following these best practices, you can ensure that your file handling code is robust, clean, and efficient.

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  • Yaryna Ostapchuk

    I am an enthusiastic learner and aspiring Python developer with expertise in Django and Flask. I pursued my education at Ivan Franko Lviv University, specializing in the Faculty of Physics. My skills encompass Python programming, backend development, and working with databases. I am well-versed in various computer software, including Ubuntu, Linux, MaximDL, LabView, C/C++, and Python, among others.

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