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Python for Finance
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.
Python for Finance
Item #: 90793282

Python for Finance

Item #: 90793282

HUF 23357

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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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Product Details

Shop Python for Finance online at a best price in Hungary. 1783284374
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)

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Python for Finance

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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. **

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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.

Cons

  • Poor structure and organization, described as a "mishmash."

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