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• 001

  000000535354

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  20210114105346

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  171104s2017 enk o 000a engd

• 019

  ▼a  1007923378

• 020

  ▼a  9781785883293
  ▼q  (electronic bk.)

• 020

  ▼a  1785883291
  ▼q  (electronic bk.)

• 035

  ▼a  1637911
  ▼b  (N$T)

• 035

  ▼a  (OCoLC)1009240867
  ▼z  (OCoLC)1007923378

• 040

  ▼a  EBLCP
  ▼b  eng
  ▼c  EBLCP
  ▼d  IDB
  ▼d  IDEBK
  ▼d  MERUC
  ▼d  OCLCO
  ▼d  OCLCQ
  ▼d  YDX
  ▼d  OCLCF
  ▼d  248023
  ▼d  N$T
  ▼e  pn

• 049

  ▼a  MAIN

• 050

  ▼a  T58.6

• 050

  ▼a  T55.4-60.8

• 082

  ▼a  005.1
  ▼2  23

• 100

  ▼a  Toomey, Dan.

• 245

  ▼a  Jupyter for Data Science
  ▼h  [electronic resource].

• 260

  ▼a  Birmingham:
  ▼b  Packt Publishing,
  ▼c  2017.

• 300

  ▼a  1 online resource (236 pages).

• 336

  ▼a  text
  ▼b  txt
  ▼2  rdacontent

• 337

  ▼a  computer
  ▼b  c
  ▼2  rdamedia

• 338

  ▼a  online resource
  ▼b  cr
  ▼2  rdacarrier

• 500

  ▼a  ""Analyzing 2016 voter registration and voting""

• 505

  ▼a  ""Cover ""; ""Copyright""; ""Credits""; ""About the Author""; ""About the Reviewers""; ""www.PacktPub.com""; ""Customer Feedback""; ""Table of Contents""; ""Preface""; ""Chapter 1: Jupyter and Data Science""; ""Jupyter concepts""; ""A first look at the Jupyter user interface""; ""Detailing the Jupyter tabs""; ""What actions can I perform with Jupyter?""; ""What objects can Jupyter manipulate?""; ""Viewing the Jupyter project display""; ""File menu""; ""Edit menu""; ""View menu""; ""Insert menu""; ""Cell menu""; ""Kernel menu""; ""Help menu""; ""Icon toolbar""

• 505

  ▼a  ""How does it look when we execute scripts?""""Industry data science usage""; ""Real life examples""; ""Finance, Python -- European call option valuation""; ""Finance, Python -- Monte Carlo pricing""; ""Gambling, R -- betting analysis""; ""Insurance, R -- non-life insurance pricing""; ""Consumer products, R -- marketing effectiveness""; ""Using Docker with Jupyter""; ""Using a public Docker service""; ""Installing Docker on your machine""; ""How to share notebooks with others""; ""Can you email a notebook?""; ""Sharing a notebook on Google Drive""; ""Sharing on GitHub""

• 505

  ▼a  ""Store as HTML on a web server""""Install Jupyter on a web server""; ""How can you secure a notebook?""; ""Access control""; ""Malicious content""; ""Summary""; ""Chapter 2: Working with Analytical Data on Jupyter""; ""Data scraping with a Python notebook""; ""Using heavy-duty data processing functions in Jupyter""; ""Using NumPy functions in Jupyter""; ""Using pandas in Jupyter""; ""Use pandas to read text files in Jupyter""; ""Use pandas to read Excel files in Jupyter""; ""Using pandas to work with data frames""; ""Using the groupby function in a data frame""

• 505

  ▼a  ""Manipulating columns in a data frame""""Calculating outliers in a data frame""; ""Using SciPy in Jupyter""; ""Using SciPy integration in Jupyter""; ""Using SciPy optimization in Jupyter""; ""Using SciPy interpolation in Jupyter""; ""Using SciPy Fourier Transforms in Jupyter""; ""Using SciPy linear algebra in Jupyter""; ""Expanding on panda data frames in Jupyter""; ""Sorting and filtering data frames in Jupyter/IPython""; ""Filtering a data frame""; ""Sorting a data frame""; ""Summary""; ""Chapter 3: Data Visualization and Prediction""; ""Make a prediction using scikit-learn""

• 505

  ▼a  ""Make a prediction using R""""Interactive visualization""; ""Plotting using Plotly""; ""Creating a human density map""; ""Draw a histogram of social data""; ""Plotting 3D data""; ""Summary""; ""Chapter 4: Data Mining and SQL Queries""; ""Special note for Windows installation""; ""Using Spark to analyze data""; ""Another MapReduce example""; ""Using SparkSession and SQL""; ""Combining datasets""; ""Loading JSON into Spark""; ""Using Spark pivot""; ""Summary""; ""Chapter 5: R with Jupyter""; ""How to set up R for Jupyter""; ""R data analysis of the 2016 US election demographics""

• 588

  ▼a  Print version record.

• 650

  ▼a  Management information systems.

• 655

  ▼a  Electronic books.

• 776

  ▼i  Print version:
  ▼a  Toomey, Dan.
  ▼t  Jupyter for Data Science.
  ▼d  Birmingham : Packt Publishing, ©2017

• 856

  ▼3  EBSCOhost
  ▼u  http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1637911

• 990

  ▼a  강리원
  ▼b  강리원

• 991

  ▼a  eBook