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Jupyter for Data Science. [electronic resource]

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자료유형E-Book
개인저자Toomey, Dan.
서명/저자사항Jupyter for Data Science.[electronic resource]
발행사항Birmingham : Packt Publishing, 2017.
형태사항1 online resource (236 pages)
소장본 주기Master record variable field(s) change: 050, 072
ISBN9781785883293
1785883291
일반주기 ""Analyzing 2016 voter registration and voting""
내용주기""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""
""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""
""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""
""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""
""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""
일반주제명Management information systems.
Management information systems.
COMPUTERS / Management Information Systems.
언어영어
기타형태 저록Print version:Toomey, Dan.Jupyter for Data Science.Birmingham : Packt Publishing, 짤2017
대출바로가기http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1637911

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