자료유형 | E-Book |
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개인저자 | Toomey, Dan. |
서명/저자사항 | Jupyter for Data Science.[electronic resource] |
발행사항 | Birmingham : Packt Publishing, 2017. |
형태사항 | 1 online resource (236 pages) |
소장본 주기 | Master record variable field(s) change: 050, 072 |
ISBN | 9781785883293 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"" |
일반주제명 | Management information systems. Management information systems. COMPUTERS / Management Information Systems. |
언어 | 영어 |
기타형태 저록 | Print version:Toomey, Dan.Jupyter for Data Science.Birmingham : Packt Publishing, 짤2017 |
대출바로가기 | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1637911 |
인쇄
No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
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1 | WE00016058 | 005.1 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |