Python data science handbook : essential tools for working with data / Jake VanderPlas.
Publisher: Sebastopol, CA : O'Reilly Media, Inc., [2016]Copyright date: 2017Edition: First editionDescription: xvi, 529 pages : illustrations, maps ; 24 cmContent type:- text
- still image
- unmediated
- volume
- 9781491912058
- 1491912057
- 006.312 23
- QA76.73.P98 V365 2016
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
BOOK | NCAR Library Foothills Lab | QA76.73 .P98 .V365 2016 | 1 | Checked out | 07/01/2024 | 50583020010074 |
Includes index.
IPython: beyond normal Python -- Introduction to NumPy -- Data manipulation with Pandas -- Visualization with Matplotlib -- Machine learning.
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 this data science stack, but only with the Python Data Science Handbook do you get them all--IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find 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. Quite simply, this is the must-have reference for scientific computing in Python.-- Provided by Publisher.