Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Data Science Essentials In Python: Collect - Organize - Explore - Predict - ValueISBN13:9781680501841ISBN10:1680501844Author:Zinoviev, Dmitry (Author)Description: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 Continuum Io If You Plan To Set Up Your Own Database Servers, You Also Need Mysql (Mysql) And Mongodb (Mongodb) Both Packages Are Free And Run On Windows, Linux, And Mac Os Binding:Paperback, PaperbackPublisher:PRAGMATIC BOOKSHELFPublication Date:2016-08-20Weight:0.87 lbsDimensions:0.48'' H x 9.25'' L x 7.5'' WNumber of Pages:226Language:English
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Book Title: Data Science Essentials In Python: Collect - Organize - Expl...
Item Length: 9.2in
Item Height: 0.5in
Item Width: 7.6in
Author: Dmitry Zinoviev
Publication Name: Data Science Essentials in Python : Collect-Organize-Explore-Predict-Value
Format: Trade Paperback
Language: English
Publisher: Pragmatic Programmers, LLC, T.H.E.
Publication Year: 2016
Type: Textbook
Item Weight: 15.2 Oz
Number of Pages: 200 Pages