000 -LEADER | |
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fixed length control field | a |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 220610b xxu||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781484271889 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 005.133 |
Item number | YUD |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Yudin, Art |
245 ## - TITLE STATEMENT | |
Title | Basic Python for data management, finance, and marketing : advance your career by learning the most powerful analytical tool |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher, distributor, etc | Springer, |
Date of publication, distribution, etc | 2021 |
Place of publication, distribution, etc | Berkeley : |
300 ## - PHYSICAL DESCRIPTION | |
Extent | XI, 320 p ; |
Other physical details | ill., |
Dimensions | 24 cm |
365 ## - TRADE PRICE | |
Price amount | 44.99 |
Price type code | EUR |
Unit of pricing | 86.00 |
504 ## - BIBLIOGRAPHY, ETC. NOTE | |
Bibliography, etc | Include bibliographic references and index. |
520 ## - SUMMARY, ETC. | |
Summary, etc | Learn how to gather, manipulate, and analyze data with Python. This book is a practical guide to help you get started with Python from ground zero and to the point where you can use coding for everyday tasks. Python, the most in-demand skill by employers, can be learned in a matter of months and a working knowledge will help you to advance your career. This book will teach you to crunch numbers, analyze big-data, and switch from spreadsheets to a faster and more efficient programming language. You'll benefit from the numerous real-life examples designed to meet current world challenges and from step-by-step guidance to become a confident Python user. Python is used in all aspects of financial industry, from algo trading, reporting and risk management to building valuations models and predictive machine learning programs. Basic Python for Data Management, Finance, and Marketing highlights how this language has become a useful skill with digital marketers, allowing them to analyze data more precisely and run more successful campaigns. You will: Get started with Python from square one Extend what's possible on excel with Python Automate tasks with Python Analyze data more precisely. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Marketing |
Topical term or geographic name as entry element | Data processing |
Topical term or geographic name as entry element | Python |
Topical term or geographic name as entry element | Database management |
Topical term or geographic name as entry element | Finance |
Topical term or geographic name as entry element | Data processing |
Topical term or geographic name as entry element | Anaconda package |
Topical term or geographic name as entry element | Application programming |
Topical term or geographic name as entry element | Efficient frontier technique |
Topical term or geographic name as entry element | Fundamental analysis |
Topical term or geographic name as entry element | Future value function |
Topical term or geographic name as entry element | Google analytics |
Topical term or geographic name as entry element | Keys method |
Topical term or geographic name as entry element | Monte Carlo simulation |
Topical term or geographic name as entry element | Net present value |
Topical term or geographic name as entry element | Numpy-financial package |
Topical term or geographic name as entry element | Rangen function |
Topical term or geographic name as entry element | Twitter bot |
Topical term or geographic name as entry element | Web scaping process |
Topical term or geographic name as entry element | Data visualization. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | |
Item type | Books |
No items available.