Picture 1 of 4
Stock photo
Picture 1 of 4
Stock photo
Python Data Science Handbook : Essential Tools for Working with Data by Jake VanderPlas (2017, Trade Paperback)
jonabooks (523)
98.3% positive feedback
Price:
$28.39
Free shipping
Returns:
30 days returns. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.
Condition:
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.
- Buy It NowPython Data Science Handbook: Essential Tools for Working with Data VanderPlas,
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
About this product
Product Identifiers
PublisherO'reilly Media, Incorporated
ISBN-101491912057
ISBN-139781491912058
eBay Product ID (ePID)215939782
Product Key Features
Number of Pages546 Pages
LanguageEnglish
Publication NamePython Data Science Handbook : Essential Tools for Working with Data
SubjectData Modeling & Design, Programming / Open Source, Databases / Data Mining, Programming Languages / Python
Publication Year2017
TypeTextbook
Subject AreaComputers
AuthorJake Vanderplas
FormatTrade Paperback
Dimensions
Item Height1.5 in
Item Weight32.9 Oz
Item Length9.2 in
Item Width7 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2017-385426
Dewey Edition23
IllustratedYes
Dewey Decimal006.3/12
SynopsisFor 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, 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. 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
LC Classification NumberQA76.9.D343
All listings for this product
![Python Data Science Handbook: Essential Tools for Working with Data [BRAND NEW]](https://i.ebayimg.com/images/g/N~8AAOSw5zhn3vCV/s-l225.jpg)
Ratings and Reviews
Most relevant reviews
- Mar 08, 2024
Great topics for beginners
great bookVerified purchase: YesCondition: New
- Nov 26, 2022
Great value!
Great price for this book compared to other online stores.Verified purchase: YesCondition: Pre-owned
