How to read data from compressed files in Jupyter Notebook

To read data from compressed files in Jupyter Notebook, you can use various libraries in Python like gzip, zipfile and tarfile.

Here is an example of how to read data from a gzipped file using the gzip library:

import gzip
with gzip.open('compressed_data.gz', 'rb') as f:
    file_content = f.read()
    # process the file_content as needed

Similarly, if you want to read data from a zipped file using the zipfile library, you can use the following code:

import zipfile
with zipfile.ZipFile('compressed_data.zip', 'r') as zip_ref:
    zip_ref.extractall('./unzipped_data')
    # process the unzipped data as needed

You can use tarfile library to read data from tarballs as shown below:

import tarfile
with tarfile.open('compressed_data.tar.gz') as tar:
    tar.extractall('./untarred_data')
    # process the untarred data as needed