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Learn how to split lines in a .txt file and extract names in Python without relying on pandas or csv libraries. Simple Python techniques included.
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How to Split Lines in a .txt File and Extract Names in Python

Handling text files is a fundamental task in programming, and Python offers several built-in methods to work with such files effortlessly. In this post, you'll learn how to split lines in a .txt file and extract names without using external libraries like pandas or csv.

Reading the File

First, we need to read the .txt file. Python's built-in open() function is perfect for this.

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Using the with statement ensures that the file is properly closed after its suite finishes, even if an exception is raised.

Splitting Lines

After reading the lines from the file, our next goal is to split these lines based on a delimiter, which is usually a comma or a space.

Here's an example where each line contains names separated by commas:

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line.strip() removes any leading or trailing whitespace.

line.split(',') splits the line into a list of names based on commas.

names.extend(split_line) adds the extracted names to the names list.

Example

Let’s say the content of your file.txt is:

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The script to extract these names would look like:

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The output will be:

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Conclusion

Splitting lines in a .txt file and extracting names in Python is straightforward with built-in functions. Using open(), readlines(), strip(), and split(), you can read files and manipulate string data without needing additional libraries like pandas or csv.

Whether you are handling large datasets or just a list of names, these fundamental Python techniques will serve you well. Happy coding!