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Jupyter for Data Science [electronic resource]
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| 자료유형 | 단행본 |
|---|---|
| 서명/저자사항 | Jupyter for Data Science. [electronic resource]. |
| 개인저자 | Toomey, Dan. |
| 발행사항 | Birmingham: Packt Publishing, 2017. |
| 형태사항 | 1 online resource (236 pages). |
| 기타형태 저록 | Print version: Toomey, Dan. Jupyter for Data Science. Birmingham : Packt Publishing, ©2017 |
| 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 |
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