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001439639 001__ 1439639
001439639 003__ OCoLC
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001439639 019__ $$a1267585541$$a1267764609
001439639 020__ $$a9781484271896$$q(electronic bk.)
001439639 020__ $$a1484271890$$q(electronic bk.)
001439639 020__ $$z1484271882
001439639 020__ $$z9781484271889
001439639 0247_ $$a10.1007/978-1-4842-7189-6$$2doi
001439639 035__ $$aSP(OCoLC)1268232267
001439639 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dN$T$$dOCLCO$$dGW5XE$$dEBLCP$$dYDX$$dUKAHL$$dOCLCQ$$dCOM$$dOCLCO$$dBKL$$dOCLCQ
001439639 049__ $$aISEA
001439639 050_4 $$aQA76.73.P98
001439639 08204 $$a005.133$$223
001439639 1001_ $$aYudin, Art,$$eauthor.
001439639 24510 $$aBasic Python for data management, finance, and marketing :$$badvance your career by learning the most powerful analytical tool /$$cArt Yudin.
001439639 250__ $$a1st ed.
001439639 264_1 $$aNew York, NY :$$bApress,$$c[2021]
001439639 264_4 $$c©2021
001439639 300__ $$a1 online resource (1 volume)
001439639 336__ $$atext$$btxt$$2rdacontent
001439639 337__ $$acomputer$$bc$$2rdamedia
001439639 338__ $$aonline resource$$bcr$$2rdacarrier
001439639 504__ $$aIncludes bibliographical references and index.
001439639 5050_ $$aChapter 1: Getting started with Python -- Chapter 2: Writing your own Python scripts -- Chapter 3: Data Analysis with Python -- Chapter 4: Gathering Data with Python -- Chapter 5: Data Visualization -- Chapter 6: Essential Financial Tasks done with Python -- Chapter 7: Essential Digital Marketing Tasks done with Python.
001439639 506__ $$aAccess limited to authorized users.
001439639 520__ $$aLearn how to gather, manipulate, and analyze data with Python. This book is a practical guide to help you get started with Python from ground zero and to the point where you can use coding for everyday tasks. Python, the most in-demand skill by employers, can be learned in a matter of months and a working knowledge will help you to advance your career. This book will teach you to crunch numbers, analyze big-data, and switch from spreadsheets to a faster and more efficient programming language. You'll benefit from the numerous real-life examples designed to meet current world challenges and from step-by-step guidance to become a confident Python user. Python is used in all aspects of financial industry, from algo trading, reporting and risk management to building valuations models and predictive machine learning programs. Basic Python for Data Management, Finance, and Marketing highlights how this language has become a useful skill with digital marketers, allowing them to analyze data more precisely and run more successful campaigns. You will: Get started with Python from square one Extend what's possible on excel with Python Automate tasks with Python Analyze data more precisely.
001439639 588__ $$aDescription based on print version record.
001439639 650_0 $$aPython (Computer program language)
001439639 650_0 $$aDatabase management.
001439639 650_0 $$aFinance$$xData processing.
001439639 650_0 $$aMarketing$$xData processing.
001439639 650_6 $$aPython (Langage de programmation)
001439639 650_6 $$aBases de données$$xGestion.
001439639 650_6 $$aFinances$$xInformatique.
001439639 650_6 $$aMarketing$$xInformatique.
001439639 655_0 $$aElectronic books.
001439639 77608 $$iPrint version:$$aYUDIN, ART.$$tBASIC PYTHON FOR DATA MANAGEMENT, FINANCE, AND MARKETING.$$d[Place of publication not identified] : APRESS, 2021$$z1484271882$$w(OCoLC)1253474157
001439639 852__ $$bebk
001439639 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-1-4842-7189-6$$zOnline Access$$91397441.1
001439639 909CO $$ooai:library.usi.edu:1439639$$pGLOBAL_SET
001439639 980__ $$aBIB
001439639 980__ $$aEBOOK
001439639 982__ $$aEbook
001439639 983__ $$aOnline
001439639 994__ $$a92$$bISE