Learn Data Analysis with Python: Lessons in Coding (Record no. 98780)
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000 -LEADER | |
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fixed length control field | 01613 a2200181 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 241018b |||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781484246269 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 005.74015 |
Cutter | HEN |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Henley A.J. |
245 ## - TITLE STATEMENT | |
Title | Learn Data Analysis with Python: Lessons in Coding |
250 ## - EDITION STATEMENT | |
Edition statement | 1st Ed |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher, distributor, etc | APRESS |
Date of publication, distribution, etc | 2018 |
Place of publication, distribution, etc | USA |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 112 |
520 ## - Remark | |
Summary, etc | Get started using Python in data analysis with this compact practical guide. This book includes three exercises and a case study on getting data in and out of Python code in the right format. Learn Data Analysis with Python also helps you discover meaning in the data using analysis and shows you how to visualize it. <br/><br/>Each lesson is, as much as possible, self-contained to allow you to dip in and out of the examples as your needs dictate. If you are already using Python for data analysis, you will find a number of things that you wish you knew how to do in Python. You can then take these techniques and apply them directly to your own projects.<br/><br/>If you aren’t using Python for data analysis, this book takes you through the basics at the beginning to give you a solid foundation in the topic. As you work your way through the book you will have a better of idea of how to use Python for data analysis when you are finished.<br/><br/>What You Will Learn<br/><br/>Get data into and out of Python code<br/>Prepare the data and its format<br/>Find the meaning of the data<br/>Visualize the data using iPython<br/><br/>Source: https://link.springer.com/book/10.1007/978-1-4842-3486-0 |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Data Analysis |
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
a | Business Analytics |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Item type | Book |
Source of classification or shelving scheme | Dewey Decimal Classification |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Collection Type | Programme | Full call number | Barcode | Date last seen | Date last borrowed | Cost, replacement price | Koha item type |
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Dewey Decimal Classification | Reference book | Main Library | Main Library | Analytics | 15/10/2024 | Shanti Book | 319.20 | Foreign Book | 005.74015 HEN | 119547 | 24/02/2025 | 20/02/2025 | 399.00 | Book |