Reading and Writing Text Files in Python — The Foundation of Every Data Pipeline
If you work with real engineering or scientific data, your Python programs rarely exist in isolation.
They read data from instruments, data loggers, and lab software. They write results to files that other programs consume. They sit in the middle of workflows involving tools that were built long before Python arrived.
The foundation of all of that is file input and output — and in this video I walk you through exactly how it works in Python.
What you will learn:
📂 Opening files with the open() function — creating a file object that gives your program access to the file contents
📖 Reading files with f.read() — loading the full contents of a text file into your Python program as a string
✍️ Writing files — creating new files and writing data to them from within your Python program
➕ Appending to files — adding new data to the end of an existing file without overwriting what is already there
🔤 Parsing string data — using split() to break file contents into usable pieces, specifying custom delimiters like @ for email addresses and domain parsing
🔍 Advanced string parsing with Python's re module — splitting on multiple delimiters simultaneously for complex real-world text formats
All examples use realistic engineering and scientific data scenarios — including reading data logger output and parsing structured text files from lab instruments.
If your Python programs need to talk to other tools — or if you are building any kind of data pipeline — this video gives you the foundation you need.
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🐍 Python for Scientists and Engineers — practical Python for real engineering and scientific data problems.
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