MARC details
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03368nam a22004335i 4500 |
| 001 - CONTROL NUMBER |
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ssj0002240198 |
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WaSeSS |
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20220419114800.0 |
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cr n |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
190907s2019 xxu| o |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781484248584 |
| 040 ## - CATALOGING SOURCE |
|---|
| Modifying agency |
WaSeSS |
| Transcribing agency |
AIMIT LIBRARY |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76.73.P98 |
| 072 #7 - SUBJECT CATEGORY CODE |
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| Subject category code |
UMX |
| Source |
bicssc |
| 072 #7 - SUBJECT CATEGORY CODE |
|---|
| Subject category code |
COM051360 |
| Source |
bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE |
|---|
| Subject category code |
UMX |
| Source |
thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
005.76 |
| Edition number |
1 |
| Item number |
VARE |
| 092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC) |
|---|
| Classification number |
EBOOK |
| 999 ## - SYSTEM CONTROL NUMBERS (KOHA) |
|---|
| Koha Dewey Subclass [OBSOLETE] |
03658530 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Varga, Ervin |
| 9 (RLIN) |
30379 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Practical Data Science with Python 3 : |
| Remainder of title |
synthesizing actionable insights from Data / |
| Statement of responsibility, etc. |
By Ervin Varga. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1st ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Berkeley : |
| Name of publisher, distributor, etc. |
Apress : |
| Date of publication, distribution, etc. |
2019. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
Xvii, 462p. |
| Dimensions |
23.5 cm. |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
|---|
| File type |
text file |
| Encoding format |
PDF |
| Source |
rda |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Chapter 1.Introduction to Data Science -- Chapter 2.Data Acquisition -- Chapter 3.Basic Data Processing -- Chapter 4.Documenting Work -- Chapter 5.Transformation and Packaging of Data -- Chapter 6.Visualization -- Chapter 7.Prediction and Inference -- Chapter 8.Network Analysis -- Chapter 9.Data Science Process Engineering -- Chapter 10. Multi-agent Systems, Game Theory and Machine Learning -- Chapter 11. Probabilistic Graphical Models -- Chapter 12. Security in Data Science. |
| 506 ## - RESTRICTIONS ON ACCESS NOTE |
|---|
| Terms governing access |
Requires an SPL library card. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Gain insight into essential data science skills in a holistic manner using data engineering and associated scalable computational methods. This book covers the most popular Python 3 frameworks for both local and distributed (in premise and cloud based) processing. Along the way, you will be introduced to many popular open-source frameworks, like, SciPy, scikitlearn, Numba, Apache Spark, etc. The book is structured around examples, so you will grasp core concepts via case studies and Python 3 code. As data science projects gets continuously larger and more complex, software engineering knowledge and experience is crucial to produce evolvable solutions. You'll see how to create maintainable software for data science and how to document data engineering practices. This book is a good starting point for people who want to gain practical skills to perform data science. All the code will be available in the form of IPython notebooks and Python 3 programs, which allow you to reproduce all analyses from the book and customize them for your own purpose. You'll also benefit from advanced topics like Machine Learning, Recommender Systems, and Security in Data Science. Practical Data Science with Python will empower you analyze data, formulate proper questions, and produce actionable insights, three core stages in most data science endeavors. |
| 538 ## - SYSTEM DETAILS NOTE |
|---|
| System details note |
Mode of access: World Wide Web. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Estimating the edge betweenness centrality |
| 9 (RLIN) |
30380 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Partitioning the model into a bipartite graph |
| 9 (RLIN) |
30381 |
| 655 #7 - INDEX TERM--GENRE/FORM |
|---|
| Genre/form data or focus term |
Electronic books. |
| Source of term |
local |
| 9 (RLIN) |
30382 |
| 773 0# - HOST ITEM ENTRY |
|---|
| Title |
Springer eBooks |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Relationship information |
Printed edition: |
| International Standard Book Number |
9781484248584 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Relationship information |
Printed edition: |
| International Standard Book Number |
9781484248607 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Link text |
View this electronic item in O'Reilly Online Learning: Academic/Public Library Edition. |
| Uniform Resource Identifier |
<a href="https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484248591/?ar">https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484248591/?ar</a> |
| Public note |
An e-book available through full-text database. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Book |
| Edition |
1st |
| Call number prefix |
005.76 VARE |
