BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Data Science Essentials in Python : Collect - Organize - Explore - Predict - Value

Data Science Essentials in Python : Collect - Organize - Explore - Predict - Value

Data Science Essentials in Python : Collect - Organize - Explore - Predict -
Stock photo: cover may vary

Data Science Essentials in Python : Collect - Organize - Explore - Predict - Value Paperback - 2016

by Zinoviev, Dmitry

Add to wish list
  • Used
Used - Very good

Description

Pragmatic Programmers, LLC, The. Used - Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Ask the seller a question Add to wish list
A$12.18
Free Delivery within USA
Standard delivery: 4 to 8 days
More delivery options
Ships from Better World Books (Indiana, United States)
Biblio Top Seller
The BIBLIO Guarantee

Details

  • Title Data Science Essentials in Python : Collect - Organize - Explore - Predict - Value
  • Author Zinoviev, Dmitry
  • Binding Paperback
  • Edition Paperback
  • Condition Used - Very good
  • Pages 226
  • Volumes 1
  • Language ENG
  • Publisher Pragmatic Programmers, LLC, The
  • Publication date 2016-09-13
  • Features Bibliography, Index
  • Bookseller's Inventory # 19250817-6
  • ISBN 9781680501841 / 1680501844
  • Weight 0.87 lbs (0.39 kg)
  • Dimensions 9.25 x 7.5 x 0.48 in (23.50 x 19.05 x 1.22 cm)
  • Category Computers - Languages / Programming
  • Library of Congress subjects Data mining, Python (Computer program language)
  • Dewey Decimal Code 006.312
  • Quantity available 1

About Better World Books Indiana, United States

Biblio member since 2005

Better World Books is a for-profit, socially conscious business and a global online bookseller that collects and sells new and used books online, matching each purchase with a book donation. Each sale generates funds for literacy and education initiatives in the U.S., the UK, and around the world. Since its launch in 2003, Better World Books has raised over $35 million for libraries and literacy, donated over 38 million books, and reused or recycled more than 475 million books.

Terms of Sale: Better World Books ("BWB") values your satisfaction and offers you returns within thirty (30) days after the estimated delivery date on most items. All returned items must be in the original condition; used items should include the SKU sticker located on the spine or back of the product. If you have an incomplete, incorrect, or damaged shipment, please contact our Customer Care team via Biblio's contact seller options before proceeding with the return. Please keep in mind that because we deal mostly in used books, any extra components, such as CDs, DVDs, figurines, or access codes are not included.

Browse books from Better World Books

Reader reviews for Data Science Essentials in Python : Collect - Organize - Explore - Predict - Value

Write a review for this book

There are no reviews for this book yet. Be the first to write a review!

Your review will be anonymous unless you login or create an account first.

Overall rating
Remember: You’re rating the book as a work, not the seller or the condition of the specific copy you purchased!

Important Terms and Guidelines

  • Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
  • Reviews must be at least 140 characters in length.
  • Please do not reveal critical plot elements.
  • This is not a help line. Contact customer support if you need help.
Your review must not include:
  • Obscenities, discriminatory language, or other insulting language not suitable for public domain
  • Advertisements, “spam” content, or references to other products, offers or websites.
  • Email addresses, URLs, phone numbers, physical addresses or other contact information.
  • Overly critical comments about other reviews or reviewers
  • Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
  • Availability, price, or alternative ordering/shipping information

From the publisher

Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist. Understand text mining, machine learning, and network analysis; process numeric data with the NumPy and Pandas modules; describe and analyze data using statistical and network-theoretical methods; and see actual examples of data analysis at work. This one-stop solution covers the essential data science you need in Python.

Data science is one of the fastest-growing disciplines in terms of academic research, student enrollment, and employment. Python, with its flexibility and scalability, is quickly overtaking the R language for data-scientific projects. Keep Python data-science concepts at your fingertips with this modular, quick reference to the tools used to acquire, clean, analyze, and store data.

This one-stop solution covers essential Python, databases, network analysis, natural language processing, elements of machine learning, and visualization. Access structured and unstructured text and numeric data from local files, databases, and the Internet. Arrange, rearrange, and clean the data. Work with relational and non-relational databases, data visualization, and simple predictive analysis (regressions, clustering, and decision trees). See how typical data analysis problems are handled. And try your hand at your own solutions to a variety of medium-scale projects that are fun to work on and look good on your resume.

Keep this handy quick guide at your side whether you're a student, an entry-level data science professional converting from R to Python, or a seasoned Python developer who doesn't want to memorize every function and option.

What You Need:

You need a decent distribution of Python 3.3 or above that includes at least NLTK, Pandas, NumPy, Matplotlib, Networkx, SciKit-Learn, and BeautifulSoup. A great distribution that meets the requirements is Anaconda, available for free from www.continuum.io. If you plan to set up your own database servers, you also need MySQL (www.mysql.com) and MongoDB (www.mongodb.com). Both packages are free and run on Windows, Linux, and Mac OS.

About the author

Dmitry Zinoviev has an MS in Physics from Moscow State University and a PhD in Computer Science from Stony Brook University. His research interests include computer simulation and modeling, network science, social network analysis, and digital humanities. He has been teaching at Suffolk University in Boston, MA since 2001.

Please wait a moment while we load the requested page.

tracking-