Python 5: File I/O (Input / Output)

Python 5: File I/O (Input / Output)

You've come a long way, and today, we'll cap off with a crucial topic: File Input/Output (IO) in Python.

Understanding File I/O in Python

File I/O refers to the process of reading from and writing to files. It's a fundamental aspect of programming, allowing you to store and retrieve data. Python makes file I/O simple and efficient.

Reading from a File

To read from a file in Python, you use the open function along with the read method. Here's a basic example:

Create a text file named example.txt and write some content in it. In Python, use the following code to read the file:

with open('example.txt', 'r') as file:
      content =

Think of with open('example.txt', 'r') as knocking on a friend's door (the file) and asking if you can come in to read (the 'r' part stands for reading). as file is like saying, "I'm going to call the friend's house 'file' while I'm inside."

Once you're "inside" the file, is like you asking your friend to tell you their entire story from start to finish. content = means you're keeping that story in your mind (or in a variable named content). Now that you remember the story, print(content) is like you retelling the story out loud so others can hear it.

Writing to a File

Writing to a file is just as straightforward. You use the open function with the mode set to 'w' for writing. Example:

To write to a file, use:

with open('example.txt', 'w') as file:
    file.write("Hello, Python File IO!")

This will write "Hello, Python File I/O!" to example.txt.

Why is File I/O Important?

  • Data Persistence: File I/O allows your program to save data permanently, beyond the lifetime of the program itself.
  • Data Sharing: You can use files to share data between different programs or sessions.

Today's Challenge Try creating a new file and write some text to it using Python. Then, read back the content from the file and print it. Experiment with different types of content!

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Final Thought Understanding File I/O is essential in your Python toolkit. It opens doors to a wide range of possibilities, from data analysis to automating daily tasks. Congratulations on completing the first week of our Python series! You're well on your way to becoming a proficient Python programmer.

Keep coding, and stay tuned for more Python adventures!