Skip to Content
Jupyter Cookbook
book

Jupyter Cookbook

by Toomey, Nikhil Borkar, Nikhil Akki, Juan Tomás Oliva Ramos
April 2018
Beginner content levelBeginner
238 pages
7h 13m
English
Packt Publishing
Content preview from Jupyter Cookbook

Reading text files

Text files, in contrast to those flat files, do not normally have column widths specified, nor do they have delimiters. The prototypical example would be programming logging files that are used by programmers to log the progress of their programs. The log files may have a consistent prefix to each record with a timestamp or such, but the rest of the record is completely up to the developer's needs.

Text files tend to be very large as well, easily running into many megabytes of storage.

An entirely new form of database has emerged for the storage and retrieval of text files, appropriately named text databases. Access to records in these databases is normally looking for strings that can be used to index the records. As before, ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Python Cookbook, 3rd Edition

Python Cookbook, 3rd Edition

David Beazley, Brian K. Jones
Pandas 1.x Cookbook - Second Edition

Pandas 1.x Cookbook - Second Edition

Matthew Harrison, Theodore Petrou
bash Cookbook, 2nd Edition

bash Cookbook, 2nd Edition

Carl Albing, JP Vossen

Publisher Resources

ISBN: 9781788839440Supplemental Content