Description: DESCRIPTIONFor 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. With this handbook, you'll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms Normal 0 false false false EN-US X-NONE X-NONE NOTE: The item will be shipped right away with item delivery in the advertised timeline. BOOK CONDITION-NEW. Contact for any assistance (if you have any questions) and purchase with confidence. ***OFFER: BUY 3 or more and get FREE FEDEX EXPRESS shipping (within 3-4 working days) ****
Price: 28.87 USD
Location: DELHI, DELHI
End Time: 2024-07-15T15:52:50.000Z
Shipping Cost: 0 USD
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Item Specifics
Return shipping will be paid by: Seller
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Educational Level: Adult & Further Education
Personalized: No
Level: Advanced, Proficiency
Country/Region of Manufacture: United States
Number of Pages: 546 Pages
Language: English
Publication Name: Python Data Science Handbook : Essential Tools for Working with Data
Publisher: O'reilly Media, Incorporated
Publication Year: 2017
Subject: Data Modeling & Design, Programming / Open Source, Databases / Data Mining, Programming Languages / Python
Item Height: 1.5 in
Item Weight: 32.9 Oz
Type: Textbook
Subject Area: Computers
Author: Jake Vanderplas
Item Length: 9.2 in
Item Width: 7 in
Format: Trade Paperback
