MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03594cam a22005657i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
22062189 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20260413184644.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
210601s2022 maua 001 0 eng d |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2021940284 |
| 015 ## - NATIONAL BIBLIOGRAPHY NUMBER |
|---|
| National bibliography number |
GBC103678 |
| Source |
bnb |
| 016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER |
|---|
| Record control number |
020079569 |
| Source |
Uk |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780136624356 |
| Qualifying information |
paperback |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
0136624359 |
| Qualifying information |
paperback |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
22062189 |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)1226764072 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
YDX |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
YDX |
| Modifying agency |
BDX |
| -- |
UKMGB |
| -- |
OCLCO |
| -- |
OCLCF |
| -- |
TOH |
| -- |
AAA |
| -- |
YDX |
| -- |
OCL |
| -- |
OCLCO |
| -- |
DLC |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
lccopycat |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76.73.P98 |
| Item number |
B4525 2022 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
005.133 B.K.F 2022 |
| Edition information |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Behrman, Kennedy, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Foundational Python for data science / |
| Statement of responsibility, etc. |
Kennedy R. Behrman. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Boston : |
| Name of producer, publisher, distributor, manufacturer |
Addison-Wesley, |
| Date of production, publication, distribution, manufacture, or copyright notice |
[2022] |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xii, 231 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
23 cm. |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Source |
rdacarrier |
| 490 1# - SERIES STATEMENT |
|---|
| Series statement |
The Addison-Wesley data & analytics series |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Includes index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Preface -- I: Learning Python in a notebook environment -- 1. Introduction to notebooks -- 2. Fundamentals of Python -- 3. Sequences -- 4. Other data structures -- 5. Execution control -- 6. Functions -- II: Data science laboratories -- 7. NumPy -- 8. SciPy -- 9. Pandas -- 10. Visualization libraries -- 11. Machine learning libraries -- 12. Natural language toolkit -- III. Intermediate Python -- 13. Functional programming -- 14. Object-oriented programming -- 15. Other topics -- A. Answers to end-of-chapter questions. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Data science and machine learning two of the worlds hottest fields are attracting talent from a wide variety of technical, business, and liberal arts disciplines. Python, the worlds #1 programming language, is also the most popular language for data science and machine learning. This is the first guide specifically designed to help millions of people with widely diverse backgrounds learn Python so they can use it for data science and machine learning. Leading data science instructor and practitioner Kennedy Behrman first walks through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data science programmer needs to master. Once youve learned these foundations, Behrman introduces intermediate and applied Python techniques for real-world problem-solving. Throughout, Foundational Python for Data Science presents hands-on exercises, learning assessments, case studies, and more all created with colab (jupyter compatible) notebooks, so you can execute all coding examples interactively without installing or configuring any software. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Python (Computer program language) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Computer programming. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data mining. |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Python (Langage de programmation) |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Programmation (Informatique) |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Apprentissage automatique. |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Exploration de données (Informatique) |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
computer programming. |
| Source of heading or term |
aat |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
SCIENCE / General. |
| Source of heading or term |
bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Computer programming. |
| Source of heading or term |
fast |
| Authority record control number or standard number |
(OCoLC)fst00872390 |
| 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 |
Machine learning. |
| Source of heading or term |
fast |
| Authority record control number or standard number |
(OCoLC)fst01004795 |
| 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 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Addison-Wesley data and analytics series. |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
copycat |
| d |
2 |
| e |
ncip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
| Suppress in OPAC |
No |