Foundations for Analytics with Python: From non-programmer to hacker (Record no. 2440)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01865nam a22002057a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200224131527.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200117b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 978-93-5213-434-2 |
| 028 ## - PUBLISHER NUMBER | |
| Source | Allied Informatics, Jaipur |
| Bill Number | 7084 |
| Bill Date | 13/01/2020 |
| Purchase Year | 2019-20 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | BSDU |
| Language of cataloging | English |
| Transcribing agency | BSDU |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.133 |
| Item number | BRO |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Brownley, Clinton W. |
| 245 ## - TITLE STATEMENT | |
| Title | Foundations for Analytics with Python: From non-programmer to hacker |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Mumbai |
| Name of publisher, distributor, etc. | Shroff Publishers & Distributors Pvt. Ltd. |
| Date of publication, distribution, etc. | 2018 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 322 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | If you’re like many of Excel’s 750 million users, you want to do more with your data—like repeating similar analyses over hundreds of files, or combining data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale the processing and analysis of data in different formats—by using Python.<br/><br/>After author Clinton Brownley takes you through Python basics, you’ll be able to write simple scripts for processing data in spreadsheets as well as databases. You’ll also learn how to use several Python modules for parsing files, grouping data, and producing statistics. No programming experience is necessary.<br/><br/>Create and run your own Python scripts by learning basic syntax<br/>Use Python’s csv module to read and parse CSV files<br/>Read multiple Excel worksheets and workbooks with the xlrd module<br/>Perform database operations in MySQL or with the mysqlclient module<br/>Create Python applications to find specific records, group data, and parse text files<br/>Build statistical graphs and plots with matplotlib, pandas, ggplot, and seaborn<br/>Produce summary statistics, and estimate regression and classification models<br/>Schedule your scripts to run automatically in both Windows and Mac environments<br/> |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Python |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | BSDU Knowledge Resource Center, Jaipur | BSDU Knowledge Resource Center, Jaipur | General Stacks | 01/17/2020 | 800.00 | 005.133 BRO | 017991 | 02/12/2020 | 800.00 | 01/17/2020 | Books |