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Python for Finance PDF Download Details
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Free PDF Books Download Information
- PDF Name: Python for Finance
- Author: Yves Hilpisch
- Book’s Language: English
- Published Year: 2014
- Pages: 566
- File Size: 13.59 MB
- Downloads Type: Free PDF Download Books
- PDF File Name: Python-for-Finance-Analyze-Big-Financial-Data-PDFRat-.pdf
- Read PDF Online: Read Python for Finance Book PDF Online
- Category of the Book: Science & Technology
- File Information: This PDF Free Download, Read Online and Print at PDFRat.com.
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Summary of Python for Finance by Yves Hilpisch
“Python for Finance: Analyze Big Financial Data” highlights.
- Python is used to analyze massive financial data.
- Due to its versatility and vast libraries, Python is popular in finance.
- Python helps fund data analysis, according to the document.
- It discusses massive financial data difficulties and how Python might help.
- Pandas, NumPy, and Matplotlib are sophisticated data manipulation, analysis, and visualization Python libraries.
- APIs or files are used to import financial data into Python.
- It covers data cleaning, transformation, and preparation methods for data quality.
- The document covers descriptive statistics, regression analysis, and hypothesis testing.
- It introduces time series analysis and shows how Python can analyze and forecast financial time series data.
- The document discusses portfolio optimization and shows how Python may build efficient portfolios.
- It shows how to calculate VaR and CVaR in Python for financial risk analysis.
- Python can be used for classification and regression models in finance, according to the document.
- It stresses finance visualization and Python’s ability to generate financial charts and plots.
- The document finishes by noting the increased demand for Python abilities in the finance industry and its job opportunities.
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