Python for Accounting and Finance

Sunil Kumar ()

in Springer Books from Springer

Date: 2024
ISBN: 978-3-031-54680-8
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Chapters in this book:

Ch Chapter 1 Introduction to Python for Accounting and Finance Research

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Ch Chapter 10 Corpus

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Ch Chapter 11 Data Visualization: Numerical Data

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Ch Chapter 12 Data Visualization: Text Data

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Ch Chapter 13 Descriptive Statistics

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Ch Chapter 14 Topic Modeling

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Ch Chapter 15 Word Embeddings

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Ch Chapter 16 Text Classification

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Ch Chapter 17 Sentiment Analysis

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Ch Chapter 18 Basic Regression

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Ch Chapter 19 Logistic Regression

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Ch Chapter 2 Introduction to Python Language

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Ch Chapter 20 Probit and Logit Regression

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Ch Chapter 21 Polynomial Regression

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Ch Chapter 22 Quantile Regression

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Ch Chapter 23 Advanced Regressions

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Ch Chapter 24 Time Series Analysis

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Ch Chapter 25 Panel Data

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Ch Chapter 26 Special Techniques in Multivariate Analysis

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Ch Chapter 27 Deep Learning

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Ch Chapter 3 Regular Expressions for Python

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Ch Chapter 4 Important Python Libraries

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Ch Chapter 5 Accessing Data from WRDS

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Ch Chapter 6 Accessing Data from SEC EDGAR

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Ch Chapter 7 Accessing Data from Other Sources

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Ch Chapter 8 Text Extraction and Cleaning

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Ch Chapter 9 Text Normalization

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DOI: 10.1007/978-3-031-54680-8

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