Python for Finance PDF Free Download

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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
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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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