Data Analysis using Python / (Record no. 40800)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01685nam a22002537a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | CUTN |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20231206154941.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 231206b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789188364340 |
| 041 ## - LANGUAGE CODE | |
| Language | English |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Edition number | 23 |
| Classification number | 005.133 |
| Item number | ROS |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Rosmund, Ansgar. |
| 240 ## - UNIFORM TITLE | |
| Uniform title | <a href="Data Analysis using Python">Data Analysis using Python</a> |
| 245 ## - TITLE STATEMENT | |
| Title | Data Analysis using Python / |
| Statement of responsibility, etc | Ansgar Rosmund. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Sweden : |
| Name of publisher, distributor, etc | Lynas Publishing, |
| Date of publication, distribution, etc | 2023. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 226 p. : |
| Other physical details | ill. ; |
| Dimensions | 23 cm. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Title | 1. Understanding Programming<br/>2. Variables, expression, and statements<br/>3. Conditional execution<br/>4. Functions<br/>5. Iteration<br/>6. Strings<br/>7. Files<br/>8. Lists<br/>9. Dictionaries<br/>10. Tuples<br/>11. Regular Expression 129<br/>12. Networked Programs<br/>13. UsingWeb services 155<br/>14. Using databases and SQL.<br/>15. Visualizing data 193<br/>16. Automating common tasks on your computer<br/>Appendix A Python Programming on Windows<br/>Appendix B Python Programming on Macintosh<br/>Index<br/> |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | The overall book structure has been designed to accomplish on data analysis problems as possible and include a series of streaming examples and exercises about data analysis from the very beginning. Number-oriented examples and exercises ar substituted with data oriented examples and exercises. Chapters are organized in the direction required to build gradually complex data analysis solutions. Some topics like try and except are presented as part of the chapter on conditionals,. Functions are arranged with a gentle approach, that is essential to mange the program complexity adequately. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data analysis |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Python |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Programming |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | SQL |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Text Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Location | Shelving location | Date of Cataloging | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Non-fiction | CUTN Central Library | CUTN Central Library | Generalia | 06/12/2023 | 005.133 ROS | 46849 | 06/12/2023 | 06/12/2023 | Text Books |