| LDR | | 04791cmm u2200541Mu 4500 |
| 001 | | 000000315175 |
| 003 | | OCoLC |
| 005 | | 20230525170111 |
| 006 | | m d |
| 007 | | cr |n|---||||| |
| 008 | | 171104s2017 enk o 000 0 eng d |
| 019 | |
▼a 1007923378 |
| 020 | |
▼a 9781785883293
▼q (electronic bk.) |
| 020 | |
▼a 1785883291
▼q (electronic bk.) |
| 035 | |
▼a 1637911
▼b (N$T) |
| 035 | |
▼a (OCoLC)1009240867
▼z (OCoLC)1007923378 |
| 040 | |
▼a EBLCP
▼b eng
▼e pn
▼c EBLCP
▼d IDEBK
▼d MERUC
▼d IDB
▼d OCLCQ
▼d OCLCO
▼d YDX
▼d OCLCF
▼d N$T
▼d 248032 |
| 049 | |
▼a MAIN |
| 050 | 4 |
▼a T58.6 |
| 050 | 4 |
▼a T55.4-60.8 |
| 072 | 7 |
▼a COM
▼x 039000
▼2 bisacsh |
| 082 | 04 |
▼a 005.1
▼2 23 |
| 100 | 1 |
▼a Toomey, Dan. |
| 245 | 10 |
▼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 | 0 |
▼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 | 8 |
▼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 | 8 |
▼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 | 8 |
▼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 | 8 |
▼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 | 0 |
▼a Print version record. |
| 590 | |
▼a Master record variable field(s) change: 050, 072 |
| 650 | 0 |
▼a Management information systems. |
| 650 | 7 |
▼a Management information systems.
▼2 fast
▼0 (OCoLC)fst01007271 |
| 650 | 7 |
▼a COMPUTERS / Management Information Systems.
▼2 bisacsh |
| 655 | 4 |
▼a Electronic books. |
| 776 | 08 |
▼i Print version:
▼a Toomey, Dan.
▼t Jupyter for Data Science.
▼d Birmingham : Packt Publishing, 짤2017 |
| 856 | 40 |
▼3 EBSCOhost
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1637911 |
| 938 | |
▼a EBL - Ebook Library
▼b EBLB
▼n EBL5110697 |
| 938 | |
▼a ProQuest MyiLibrary Digital eBook Collection
▼b IDEB
▼n cis36229588 |
| 938 | |
▼a YBP Library Services
▼b YANK
▼n 14934138 |
| 938 | |
▼a EBSCOhost
▼b EBSC
▼n 1637911 |
| 990 | |
▼a 관리자 |
| 994 | |
▼a 92
▼b N$T |