Each word had its definition and an example sentence next to it but in a not-so-organized manner. Many of the words shared almost the same meaning. He came across a text file containing thousands of words. Let me show you what the project demanded. This makes the code highly readable as the index is replaced by an English word of one’s choice. Moreover, the values held in these could be accessed with and without the use of indexes. I was mesmerized when I learned that data structures like lists, tuples and dictionary could be created and initialized dynamically with a single line (like so, list-name = ). Within seconds, I fell in love with its easy, crisp syntax and its automatic indentation while writing. Turns out this computer programming language isn’t so hard (well, until I got this project! :P ). 🌍 Learn More: Convert a String to CSV in PythonĪfter you’ve converted the data to the comma-separated values (CSV) format demanded by your application, you can write the string to a file using either the print() function with file argument or the standard file.write() approach.So I decided to learn Python. Now that the content is in your Python script, you can convert it to a CSV using the various methods outlined in this article: To open a file for writing in binary format, use mode='rb'.To open a file for reading in binary format, use mode='rb'.If you want to open a binary file, you need to add the 'b' character to the optional mode string argument. Per default, Python’s built-in open() function opens a text file. Here’s an example to read the binary file 'my_file.man' into your Python script: with open('my_file.man', 'rb') as f: You can then convert the string to a CSV using various approaches such as the csv module.

To read a binary file, use the open('rb') function within a context manager ( with keyword) and read its content into a string variable using f.readlines().

Convert text file to csv python