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19531845
Mastering Python for Finance: Implement advanced state-of-the-art financial statistical applications using Python, 2nd Edition
Elementas #:
19531845
€ 51
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Master advanced financial modeling, visualization, and trading infrastructure using Python
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What Stands Out
Advanced Techniques
This edition covers state-of-the-art financial statistical applications, making it ideal for finance professionals who want to leverage Python for advanced data analysis and model building.
Hands-On Learning
Through practical examples and exercises, readers gain real-world experience in financial analysis, ensuring a deeper understanding of financial data manipulation and algorithmic trading strategies.
Comprehensive Resource
As an updated edition, it includes the latest trends and tools in finance, providing readers with a complete guide to mastering Python in the context of financial analysis.
Produkto Aprašymas
- Master advanced financial models and methodologies using Python
- Explore machine learning and deep learning techniques for financial applications
- Understand time series data and its applications in finance
- Build high-frequency algorithmic trading platforms and backtesting systems
- Apply regression-based and classification-based machine learning for prediction
- Suitable for financial or data analysts and software developers in finance industry
| Publisher | Packt Publishing |
| Publication date | April 30, 2019 |
| Edition | 2nd ed. |
| Language | English |
| Print length | 426 pages |
| ISBN-10 | 1789346460 |
| ISBN-13 | 978-1789346466 |
| Item Weight | 1.77 pounds (800 grams) |
| Dimensions | 7.5 x 0.96 x 9.25 inches (19.1 x 2.4 x 23.5 cm) |
Who Should Buy?
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Finance Professionals
Ideal for finance professionals seeking to enhance their analytical skills using advanced Python applications for financial data.
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Data Scientists
Great for data scientists looking to apply statistical methods and machine learning techniques in financial contexts.
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Students and Learners
Beneficial for students studying finance or data analysis, providing practical Python skills in finance applications.
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Beginners in Python
Not suitable for beginners as it assumes prior knowledge of Python programming and financial concepts.
PRODUKTO APRAŠYMAS
Mastering Python for Finance: Implement advanced state-of-the-art financial statistical applications using Python, 2nd Edition
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Python Editorial Review
The second edition of "Mastering Python for Finance" seems to have received mixed reviews from customers. While some appreciated the decent coverage of financial concepts and supporting mathematics, others found the book inadequate for learning Python for finance. One major issue noted by customers is the reliance on data providers that no longer offer data used in the examples, with the author directing readers to paid data sources. Additionally, the author seems to lack a good understanding of financial time series, and there are critical program coding missing for API access to popular financial data sources. The book comes with code files that are of type "ipynb" and require the use of Jupyter Notebook, which might be difficult for some readers. Databases such as MySQL or 'kdb' are also missing from the book. However, some recommend using other references to fill in the missing pieces. The book was delivered quickly and arrived in perfect shape, according to one customer.
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Argumentai
- Decent coverage of financial concepts and supporting mathematics
- Effort to cover the entire world of Finance Computing is appreciated
Minusai
- Reliance on data providers that no longer offer data used in the examples
Product Price History
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Savybės ir privalumai
- Explore advanced financial models used by the industry and ways of solving them using Python
- Build state-of-the-art infrastructure for modeling, visualization, trading, and more
- Empower your financial applications by applying machine learning and deep learning
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