Data Science 🐍 Import / Export

This tutorial covers file operations in Python, including reading, writing, and deleting files. It demonstrates how to handle CSV, JSON, and Excel files using Python libraries like Numpy and Pandas. The video also includes practical activities with TC Lab, showcasing how to write and read data files efficiently. Key concepts include file management, data manipulation, and the use of Python libraries for data science tasks.

What command is used to open a file for reading in Python?

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Explain the difference between the 'R' and 'W' modes when opening a file.

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What is a common format for writing data files in Python?

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How can you write a CSV file using the CSV module in Python?

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Explain how to create a new data frame with specific columns in pandas.

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What is the significance of the 'index' parameter when writing a DataFrame to a CSV file using pandas?

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What is the purpose of the 'delimiter' parameter when loading text files?

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Describe how to read a CSV file using pandas.

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How can you delete a file in Python?

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What are some data sources that Python can connect to for data analysis?

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