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Python for Finance
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A hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python.
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Detalji o proizvodu
| Publisher | Packt Publishing |
| Publication date | April 25, 2014 |
| Language | English |
| Print length | 321 pages |
| ISBN-10 | 1783284374 |
| ISBN-13 | 978-1783284375 |
| Item Weight | 1.6 pounds (730 grams) |
| Dimensions | 7.5 x 0.92 x 9.25 inches (19.1 x 2.3 x 23.5 cm) |
OPIS PROIZVODA
Python for Finance
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odgovor: Jednostavno je kupovati Python for Finance online s Ubuya.. Samo trebate potražiti proizvod, odabrati način dostave tijekom odjave i dobiti ga na svoju lokaciju. -
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Personal Finance Editorial Review
The editorial review of this product indicates a mixed customer experience with a general sentiment of disappointment, particularly with the book's structure and organization. Many readers praised its potential utility for beginners transitioning from finance languages like R to Python, highlighting some valuable pieces of code scattered throughout the text. However, multiple reviewers criticized the book for its lack of coherent structure, repetitive content, and numerous typos and errors. While some readers noted that there are useful insights and good coding snippets, they found the delivery jarring and poorly organized, which detracted from the learning experience. A common theme was the suggestion that the book lacks the depth and rigor necessary for more advanced users or those seeking a detailed understanding of either Python or finance. Some thought it might be more suitable as a supplementary text rather than a standalone resource. Overall, customers recognize some value in the book, especially for beginners but warn that it is not a comprehensive guide for anyone looking for in-depth knowledge. **
Customer Reviews & Ratings
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5 zvjezdica
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4 zvjezdica
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3 zvjezdica
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2 zvjezdica
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Pros
- Contains useful code snippets for beginners.
- May serve as a helpful transition for those familiar with finance in other languages like R.
- Potential utility in introductory finance courses for learning Python basics.
Protiv
- Poor structure and organization, described as a "mishmash."
Product Price History
Važne informacije
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Značajke i prednosti
- Hands-on guide for learning finance with Python.
- Includes examples on option theory and quantitative finance.
- Teaches financial modeling and time series analysis.
- Ideal for graduate students and finance practitioners.
- Beneficial for application developers in finance.
- Requires basic Python knowledge and some programming experience.
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