Python data science handbook : (Record no. 609722)

000 -LEADER
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001 - CONTROL NUMBER
control field 23302986
003 - CONTROL NUMBER IDENTIFIER
control field NUST
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240829114743.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230831t20222023caua bf 001 0 eng d
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2022438305
015 ## - NATIONAL BIBLIOGRAPHY NUMBER
National bibliography number GBC2K4887
Source bnb
016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER
Record control number 020807698
Source Uk
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781098121228
Qualifying information paperback
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1098121228
Qualifying information paperback
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)on1351696593
038 ## - RECORD CONTENT LICENSOR
Staff Name AZHAR
040 ## - CATALOGING SOURCE
Original cataloging agency UKMGB
Language of cataloging eng
Description conventions rda
Transcribing agency UKMGB
Modifying agency OCLCF
-- IG$
-- UKMGB
-- GPRCL
-- OQX
-- IWA
-- YDX
-- OCL
-- DLC
042 ## - AUTHENTICATION CODE
Authentication code lccopycat
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.73.P98
Item number V365 2022
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312
Edition number 23
Author Mark VAN
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Vanderplas, Jacob T.,
Relator term author.
9 (RLIN) 123570
245 10 - TITLE STATEMENT
Title Python data science handbook :
Remainder of title essential tools for working with data /
Statement of responsibility, etc. Jake VanderPlas.
250 ## - EDITION STATEMENT
Edition statement Second edition.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Sebastopol, CA :
Name of publisher, distributor, etc. O'Reilly Media,
Date of publication, distribution, etc. 2022.
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice ©2023
300 ## - PHYSICAL DESCRIPTION
Extent xxiv, 563 pages :
Other physical details illustrations ;
Dimensions 24 cm
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term unmediated
Media type code n
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Carrier type code nc
Source rdacarrier
500 ## - GENERAL NOTE
General note Previous edition: 2016.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Part I: Jupyter: Beyond normal Python -- 1. Getting started in in IPython and Jupyter -- 2. Enhanced interactive features -- 3. Debugging and profiling -- Part II: Introduction to NumPy -- 4. Understanding data types in Python -- 5. The basics of NumPy arrays -- 6. Computation on NumPy arrays: Universal functions -- 7. Aggregations: min, max, and everything in between -- 8. Computation on arrays: broadcasting -- 9. Comparisons, masks, and boolean logic -- 10. Fancy indexing -- 11. Sorting arrays -- 12. Structured data: NumPy's structured arrays -- Part III: Data manipulation with Pandas -- 13. Introducing Pandas objects -- 14. Data indexing and selection -- 15. Operating on data in Pandas -- 16. Handling missing data -- 17. Hierarchial indexing -- 18. Combining datasets: concat and append -- 19. Combining datasets: merge and join -- 20. Aggregation and grouping -- 21. Pivot tables -- 22. Vectorized string operations -- 23. Working with time series -- 24. High-performace Pandas: eval and query -- Part IV: Visualization with Matplotlib -- 25. General Matplotlib tips -- 26. Simple line plots -- 27. Simple scatter plots -- 28. Density and contour plots -- 29. Customizing plot legends -- 30. Customizing colorbars -- 31. Multiple subplots -- 32. Text and annitatuin -- 33. Customizing ticks -- 34. Customizing Matplotlib: Configurations and stylesheets -- 35. Three-dimensional plottin in Matplotlib -- 36. Visualization with Seaborn -- Part V: Machine learning -- 37. What is machine learning? -- 38. Introducing Scitit-Learn -- 39. Hyperparameters and model validation -- 40. Feature engineering -- 41. In depth: Naive beyes classification -- 42. In depth: Linear regression -- 43> In depth: Support vector machines -- 44. In depth: Decision trees and random forests -- 45> In depth: Principal component analysis -- 46> In depth: Manifold learning -- 47. In depth: k-means clustering -- 48. In depth: Gaussian mixture models -- 49. In depth: Kernel density estimation -- 50. Application: a face detection pipeline.
520 ## - SUMMARY, ETC.
Summary, etc. "Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all--IPython, NumPy, pandas, Matplotlib, scikit-learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python."--Publisher marketing.
563 ## - BINDING INFORMATION
Binding note PBK.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data mining
Form subdivision Handbooks, manuals, etc.
9 (RLIN) 123571
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Python (Computer program language)
Form subdivision Handbooks, manuals, etc.
9 (RLIN) 123572
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data mining.
Source of heading or term fast
Authority record control number or standard number (OCoLC)fst00887946
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Python (Computer program language)
Source of heading or term fast
Authority record control number or standard number (OCoLC)fst01084736
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element E-BOOKBANK.SEECSTEXTBOOK
9 (RLIN) 125472
655 #7 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Handbooks and manuals
Source of term fast
Authority record control number (OCoLC)fst01423877
9 (RLIN) 280
655 #7 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Handbooks and manuals.
Source of term lcgft
9 (RLIN) 280
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://10.250.8.41:8080/xmlui/handle/123456789/41784">http://10.250.8.41:8080/xmlui/handle/123456789/41784</a>
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Date acquired Total Checkouts Full call number Barcode Date last seen Date last checked out Price effective from Koha item type
          Central Library (CL) Central Library (CL) 06/12/2024 2 006.312 VAN CL-1540 01/30/2025 08/22/2024 06/12/2024 Book
          Central Library (CL) Central Library (CL) 06/27/2024   280 SCB SCB-1540 06/27/2024   06/27/2024 Book
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