Python Data Science Handbook

NEW book shrink-wrapped and is shipped right away with item delivery in the advertised timeline. Contact us if you need any clarifications, best customer care, you get immediate reply/responses. Purchase with confidence. BOOK DESCRIPTION: For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of… Saber más sobre este artículo

Python Data Science Handbook: Essential Tools for Working with Data

O'Reilly Media, 2017-01-03. Paperback. Good. Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLYNO ACCESS CODE, NO CD, Ships with Emailed Tracking

O'Reilly Media. 1. Very Good. Very Good. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported

O?Reilly, 2017. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1000grams, ISBN:9781491912058

Paperback. Very Good.

O'Reilly Media, 2016-12-10. Paperback. Good. 1.3000 in x 9.1000 in x 7.0000 in. Some very minor water damage to first few pages that doesn't affect text.

O'Reilly Media, 2017-01-03. 1. paperback. Used: Good.

O'Reilly Media, 2017-01-03. 1. paperback. Used:Good.

O'Reilly Media, 2023-01-17. paperback. Good. 6x1x9. Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Tracking

paperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.

paperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.

O'Reilly Media, 2023-01-17. paperback. New. 6x1x9. New Textbook, Ships with Tracking

Oreilly & Associates Inc, 2023. Paperback. New. 2nd edition. 550 pages. 9.19x7.00x1.19 inches.

Paperback / softback. New. Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models.