| LDR | | 05232cmm uu200589Ka 4500 |
| 001 | | 000000301597 |
| 003 | | OCoLC |
| 005 | | 20230519143429 |
| 006 | | m o d |
| 007 | | cr cnu---unuuu |
| 008 | | 130426s2013 enka o 001 0 eng d |
| 019 | |
▼a 840258573 |
| 020 | |
▼a 9781782162650 (electronic bk.) |
| 020 | |
▼a 1782162658 (electronic bk.) |
| 020 | |
▼z 178216264X |
| 020 | |
▼z 9781782162643 |
| 035 | |
▼a (OCoLC)840899851 |
| 040 | |
▼a N$T
▼c N$T
▼d YDXCP
▼d MHW
▼d IDEBK
▼d E7B
▼d MEAUC
▼d 248032 |
| 049 | |
▼a K4RA |
| 050 | 4 |
▼a QA76.73.J38 |
| 072 | 7 |
▼a COM
▼x 051310
▼2 bisacsh |
| 072 | 7 |
▼a COM
▼x 051280
▼2 bisacsh |
| 072 | 7 |
▼a COM
▼x 051130
▼2 bisacsh |
| 082 | 04 |
▼a 005.133
▼2 23 |
| 100 | 1 |
▼a Rochester, Eric. |
| 245 | 10 |
▼a Clojure data analysis cookbook
▼h [electronic resource] :
▼b over 110 recipes to help you dive into the world of practical data analysis using Clojure /
▼c Eric Rochester. |
| 260 | |
▼a Birmingham, UK :
▼b Packt Publishing,
▼c c2013. |
| 300 | |
▼a 1 online resource :
▼b ill. |
| 500 | |
▼a Includes index. |
| 505 | 0 |
▼a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Importing Data for Analysis; Introduction; Creating a new project; Reading CSV data into Incanter datasets; Reading JSON data into Incanter datasets; Reading data from Excel with Incanter; Reading data from JDBC databases; Reading XML data into Incanter datasets; Scraping data from tables in web pages; Scraping textual data from web pages; Reading RDF data; Reading RDF data with SPARQL; Aggregating data from different formats; Chapter 2: Cleaning and Validating Data |
| 505 | 8 |
▼a IntroductionCleaning data with regular expressions; Maintaining consistency with synonym maps; Identifying and removing duplicate data; Normalizing numbers; Rescaling values; Normalizing dates and times; Lazily processing very large data sets; Sampling from very large data sets; Fixing spelling errors; Parsing custom data formats; Validating data with Valip; Chapter 3: Managing Complexity with Concurrent Programming; Introduction; Managing program complexity with STM; Managing program complexity with agents; Getting better performance with commute; Combining agents and STM |
| 505 | 8 |
▼a Maintaining consistency with ensureIntroducing safe side effects into the STM; Maintaining data consistency with validators; Tracking processing with watchers; Debugging concurrent programs with watchers; Recovering from errors in agents; Managing input with sized queues; Chapter 4: Improving Performance with Parallel Programming; Introduction; Parallelizing processing with pmap; Parallelizing processing with Incanter; Partitioning Monte Carlo simulations for better pmap performance; Finding the optimal partition size with simulated annealing; Parallelizing with reducers |
| 505 | 8 |
▼a Generating online summary statistics with reducersHarnessing your GPU with OpenCL and Calx; Using type hints; Benchmarking with Criterium; Chapter 5: Distributed Data Processing with Cascalog; Introduction; Distributed processing with Cascalog and Hadoop; Querying data with Cascalog; Distributing data with Apache HDFS; Parsing CSV files with Cascalog; Complex queries with Cascalog; Aggregating data with Cascalog; Defining new Cascalog operators; Composing Cascalog queries; Handling errors in Cascalog workflows; Transforming data with Cascalog |
| 505 | 8 |
▼a Executing Cascalog queries in the Cloud with PalletChapter 6: Working with Incanter Datasets; Introduction; Loading Incanter's sample datasets; Loading Clojure data structures into datasets; Viewing datasets interactively with view; Converting datasets to matrices; Using infix formulas in Incanter; Selecting columns with ; Selecting rows with ; Filtering datasets with where; Grouping data with group-by; Saving datasets to CSV and JSON; Projecting from multiple datasets with join; Chapter 7: Preparing for and Performing Statistical Data Analysis with Incanter; Introduction |
| 520 | |
▼a Full of practical tips, the ""Clojure Data Analysis Cookbook"" will help you fully utilize your data through a series of step-by-step, real world recipes covering every aspect of data analysis.Prior experience with Clojure and data analysis techniques and workflows will be beneficial, but not essential. |
| 588 | |
▼a Title from PDF title page (viewed Apr. 26, 2013) |
| 650 | 0 |
▼a Clojure (Computer program language) |
| 650 | 0 |
▼a JavaScript (Computer program language) |
| 650 | 0 |
▼a Computer programming. |
| 650 | 0 |
▼a Application software
▼x Development. |
| 650 | 7 |
▼a COMPUTERS / Programming Languages / C#.
▼2 bisacsh |
| 650 | 7 |
▼a COMPUTERS / Programming Languages / Java.
▼2 bisacsh |
| 650 | 7 |
▼a COMPUTERS / Programming Languages / Pascal.
▼2 bisacsh |
| 655 | 4 |
▼a Electronic books. |
| 776 | 08 |
▼c Original
▼z 178216264X
▼z 9781782162643
▼w (OCoLC)834978161 |
| 856 | 40 |
▼3 EBSCOhost
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=562004 |
| 938 | |
▼a EBSCOhost
▼b EBSC
▼n 562004 |
| 938 | |
▼a YBP Library Services
▼b YANK
▼n 10407508 |
| 938 | |
▼a Ingram Digital eBook Collection
▼b IDEB
▼n cis25210272 |
| 938 | |
▼a ebrary
▼b EBRY
▼n ebr10682464 |
| 990 | |
▼a 관리자 |
| 994 | |
▼a 92
▼b K4R |