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Applied quantitative financeusing Py...
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Garita, Mauricio.
Applied quantitative financeusing Python for financial analysis /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Applied quantitative financeby Mauricio Garita.
Reminder of title:
using Python for financial analysis /
Author:
Garita, Mauricio.
Published:
Cham :Springer International Publishing :2021.
Description:
xxvi, 240 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
FinanceData processing.
Online resource:
https://doi.org/10.1007/978-3-030-29141-9
ISBN:
9783030291419
Applied quantitative financeusing Python for financial analysis /
Garita, Mauricio.
Applied quantitative finance
using Python for financial analysis /[electronic resource] :by Mauricio Garita. - Cham :Springer International Publishing :2021. - xxvi, 240 p. :ill., digital ;24 cm.
1. How to use python? -- 2. Using data structures in Python -- 3. Using Data in Python -- 4. Descriptive statistics using Python -- 5. Statistical approach to multiple variables -- 6. Comparing stocks between companies -- 7. Porfolio and Risk -- 8. Value at Risk.
This book provides conceptual knowledge on quantitative finance and a hands-on experience using Python. It begins with a description of concepts prior to the application of Python with the purpose of understanding how to compute and also the interpretation of the results. The book will satisfy the lack of information concerning Python, a language that is more and more relevant in the financial arena due to big data. This will lead to a better understanding of advance finance as it gives a descriptive process for students, academics and practitioners.
ISBN: 9783030291419
Standard No.: 10.1007/978-3-030-29141-9doiSubjects--Topical Terms:
200666
Finance
--Data processing.
LC Class. No.: HG173 / .G37 2021
Dewey Class. No.: 332.02855133
Applied quantitative financeusing Python for financial analysis /
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using Python for financial analysis /
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by Mauricio Garita.
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2021.
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ill., digital ;
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1. How to use python? -- 2. Using data structures in Python -- 3. Using Data in Python -- 4. Descriptive statistics using Python -- 5. Statistical approach to multiple variables -- 6. Comparing stocks between companies -- 7. Porfolio and Risk -- 8. Value at Risk.
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This book provides conceptual knowledge on quantitative finance and a hands-on experience using Python. It begins with a description of concepts prior to the application of Python with the purpose of understanding how to compute and also the interpretation of the results. The book will satisfy the lack of information concerning Python, a language that is more and more relevant in the financial arena due to big data. This will lead to a better understanding of advance finance as it gives a descriptive process for students, academics and practitioners.
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based on 0 review(s)
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電子館藏
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1 records • Pages 1 •
1
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Attachments
000000204886
電子館藏
1圖書
電子書
EB HG173 .G232 2021 2021
一般使用(Normal)
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1 records • Pages 1 •
1
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https://doi.org/10.1007/978-3-030-29141-9
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