Python for Finance: Data analysis, financial modeling, and portfolio management (English Edition)
Python's intuitive syntax and beginner-friendly nature makes it an ideal programming language for financial professionals. It acts as a bridge between the world of finance and data analysis. This book will introduce essential concepts in financial analysis methods and models, covering time-series analysis, graphical analysis, technical and fundamental analysis, asset pricing and portfolio theory, investment and trade strategies, risk assessment and prediction, and financial ML practices. The Python programming language and its ecosystem libraries, such as Pandas, NumPy, SciPy, Statsmodels, Matplotlib, Seaborn, Scikit-learn, Prophet, and other data science tools will demonstrate these rooted financial concepts in practice examples.
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Python for Finance: Data analysis, financial modeling, and portfolio management (English Edition)
Python's intuitive syntax and beginner-friendly nature makes it an ideal programming language for financial professionals. It acts as a bridge between the world of finance and data analysis. This book will introduce essential concepts in financial analysis methods and models, covering time-series analysis, graphical analysis, technical and fundamental analysis, asset pricing and portfolio theory, investment and trade strategies, risk assessment and prediction, and financial ML practices. The Python programming language and its ecosystem libraries, such as Pandas, NumPy, SciPy, Statsmodels, Matplotlib, Seaborn, Scikit-learn, Prophet, and other data science tools will demonstrate these rooted financial concepts in practice examples.
34.95
In Stock
5
1

Python for Finance: Data analysis, financial modeling, and portfolio management (English Edition)
386
Python for Finance: Data analysis, financial modeling, and portfolio management (English Edition)
386
34.95
In Stock
Product Details
ISBN-13: | 9789355516893 |
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Publisher: | Bpb Publications |
Publication date: | 07/30/2024 |
Pages: | 386 |
Product dimensions: | 7.50(w) x 9.25(h) x 0.80(d) |
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