What is included in 'Mastering Python for Finance, 2nd Edition'?

This comprehensive guide includes a deep dive into financial statistical applications using Python. It covers advanced techniques such as risk analysis, portfolio optimization, and price prediction models. Readers can expect to find practical examples, code snippets, and tutorials that help in understanding complex financial concepts through programming. This makes it an invaluable resource for both finance professionals and aspiring data scientists alike who want to enhance their skills in blending Python programming with financial analysis.

Who is the target audience for this book?

The book is tailored for finance professionals, analysts, and students looking to deepen their understanding of financial analytics using Python. It's also beneficial for developers who are transitioning into finance roles. By leveraging the power of Python, users can harness data analytics to make informed financial decisions and automate complicated processes in their analysis. This makes it suitable for individuals interested in practical applications of finance and programming.

What programming knowledge is required before reading this book?

A foundational understanding of Python programming is essential before diving into this book. Familiarity with basic syntax, data structures, and libraries such as NumPy and Pandas is recommended. This background will allow readers to better grasp the examples and applications discussed. For those without this experience, supplementary resources or introductory courses in Python can provide the necessary groundwork for engaging with the more advanced concepts presented in the book.

Can this book help in learning algorithmic trading?

Yes, 'Mastering Python for Finance, 2nd Edition' includes insights into developing algorithmic trading strategies. The book teaches readers how to implement and backtest trading algorithms, optimize strategies, and analyze performance metrics. This practical focus on algorithmic trading enables readers to apply their skills in real-world scenarios, potentially enhancing their trading effectiveness. Whether you’re starting out in trading or seeking to develop more sophisticated strategies, this book provides a solid foundation.

Does this book cover machine learning applications in finance?

Absolutely, the book incorporates machine learning techniques that can be applied to various financial scenarios. Readers will gain knowledge on utilizing libraries such as Scikit-learn to build predictive models for stock prices or risk assessment. By integrating machine learning with financial data analysis, the book provides a modern approach to dealing with complex financial data. This is useful for those looking to enhance their predictive capabilities within finance.

How does this edition differ from previous editions?

The 2nd Edition of 'Mastering Python for Finance' introduces updated techniques and practices reflecting the latest advancements in financial technology and data analytics. It offers new chapters on recent tools, expanded examples, and enhanced explanations of core concepts. This edition aims to bridge the gap between theoretical knowledge and practical application, ensuring that readers are well-equipped to tackle contemporary financial challenges using Python.

Is prior finance knowledge necessary for this book?

While some familiarity with financial concepts can be beneficial, the book is designed to cater to readers with varying levels of finance knowledge. It introduces essential financial theories and practices alongside programming applications, making it accessible yet informative. Thus, even if you’re new to finance but proficient in Python, you can still extract valuable insights and apply them to your projects or career.

What practical applications can I expect from this book?

Readers can expect to learn practical applications such as financial forecasting, portfolio management, and risk analysis using Python. These applications allow users to analyze stock market trends, create viable financial models, and optimize investment strategies. This hands-on approach helps bridge theory and practice, making it ideal for those who wish to develop tangible skills in financial data analysis and decision-making.

What tools or software do I need to work through the book?

To effectively engage with 'Mastering Python for Finance, 2nd Edition', readers should have Python installed along with essential libraries like NumPy, Pandas, Matplotlib, and Scikit-learn. An integrated development environment (IDE) such as Jupyter Notebook or PyCharm is also recommended, as it facilitates coding and testing in an interactive manner. This setup allows for practical experimentation with the examples and projects detailed in the book.

Where can I buy 'Mastering Python for Finance, 2nd Edition' in Hong Kong?

You can purchase 'Mastering Python for Finance: Implement advanced state-of-the-art financial statistical applications using Python, 2nd Edition' through Ubuy. Ubuy provides a convenient online shopping experience and offers competitive pricing for this title, making it easy to obtain essential finance resources right from your home. Simply search for the book using Ubuy's platform to explore your options.

如何從 Ubuy 在線購物 Mastering Python for Finance: Implement advanced？

從 Ubuy 在線購物 Mastering Python for Finance: Implement advanced 非常簡單。. 您只需搜索產品，在結賬時選擇運輸方式，然後將其運送到您所在的位置。

Mastering Python for Finance: Implement advanced 可以在 Hong Kong 在線購物嗎？

是的，您可以在 Ubuy Hong Kong 以合理的價格購買該產品。. Mastering Python for Finance: Implement advanced 在本地不可用，但您可以信任我們的快遞服務。

下訂單後需要多長時間才能收到產品？

您訂購的產品的交貨時間根據您訂購的商品和您選擇的運輸方式而有所不同。. 結賬時會提到預計送貨時間，所以購物時請放心。

觀看原文

Mastering Python for Finance: Implement advanced state-of-the-art financial statistical applications using Python, 2nd Edition

Master advanced financial modeling, visualization, and trading infrastructure using Python

物品 #: 19531845

Mastering Python for Finance: Implement advanced state-of-the-art financial statistical applications using Python, 2nd Edition

90% of respondents would recommend this to a friend

物品 #: 19531845

HKD 363

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

^{*All items will import from 美國}

供應情形 : 有存貨

從USA商店導入

QTY:

現在訂購，約可在下列時間收貨：星期六, 九月 26

Secured transaction

Our Top Logistics Partners

Master advanced financial modeling, visualization, and trading infrastructure using Python

U-Care Warranty:

None

選擇一個計劃

Fast
Shipping

Free
Return^*

Secure Packaging

100% Original Products

PCI DSS Compliance

ISO 27001 Certified

Note: Step Down Voltage Transformer required for using electronics products of 美國 store (110-120). Recommended power converters 立即購買.

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.

產品詳情

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?

Finance Professionals
Ideal for finance professionals seeking to enhance their analytical skills using advanced Python applications for financial data.
Data Scientists
Great for data scientists looking to apply statistical methods and machine learning techniques in financial contexts.
Students and Learners
Beneficial for students studying finance or data analysis, providing practical Python skills in finance applications.

Beginners in Python
Not suitable for beginners as it assumes prior knowledge of Python programming and financial concepts.

產品敘述

Mastering Python for Finance: Implement advanced state-of-the-art financial statistical applications using Python, 2nd Edition

有疑問？與我們聊天

客戶問題與解答

題: 如何從 Ubuy 在線購物 Mastering Python for Finance: Implement advanced？

回答: 從 Ubuy 在線購物 Mastering Python for Finance: Implement advanced 非常簡單。. 您只需搜索產品，在結賬時選擇運輸方式，然後將其運送到您所在的位置。
題: Mastering Python for Finance: Implement advanced 可以在 Hong Kong 在線購物嗎？

回答: 是的，您可以在 Ubuy Hong Kong 以合理的價格購買該產品。. Mastering Python for Finance: Implement advanced 在本地不可用，但您可以信任我們的快遞服務。
題: 下訂單後需要多長時間才能收到產品？

回答: 您訂購的產品的交貨時間根據您訂購的商品和您選擇的運輸方式而有所不同。. 結賬時會提到預計送貨時間，所以購物時請放心。

Python Editorial Review

Mastering Python for Finance: Implement advanced state-of-the-art financial statistical applications using Python, 2nd Edition is a comprehensive resource for those looking to delve into financial computing through Python. While the book covers essential financial concepts and mathematics, some readers feel it lacks depth in coding examples and practical applications, particularly in utilizing Jupyter Notebook effectively. Furthermore, critical API coding and database access details are reportedly overlooked, leaving a gap for beginners who might need more guidance. Despite its challenges, the book provides a solid foundation for understanding finance in a programming context, appealing to those who are willing to seek additional resources to complement their learning.

Customer Reviews & Ratings

5.0

1 客戶評分

5 星

100%
4 星

0%
3 星

0%
2 星

0%
1 星

0%

評價此產品

與其他客戶分享您的想法

優點

Covers essential financial concepts and mathematics
Good introduction to Python for finance
Detailed explanations of statistical applications
Encourages learning of Jupyter Notebook
Useful for advanced users wanting to explore finance

缺點

Missing practical coding examples and API details

Product Price History

重要資訊

限制：如跨國購買產品，請注意製造商的保固有可能無效；製造商服務選項可能無法使用；產品手冊、教學、以及安全警示可能不會是目的地國家的語言；產品（與附加材料）設計也許不會符合目的地國家的標準、規格、以及標示要求；且產品也許不會符合目的地國家的伏特數值與其他電力標準（需要使用合適的變壓器或轉接器）。收件者須負責確定該產品在目的地國家可合法進口。當在 Ubuy 或其聯盟夥伴網站上訂購時，收件者為記錄上的進口者，且必須遵從目的地國家的法律與規範。
由於 Ubuy 是一個全球搜尋引擎，並不是所有列於 Ubuy 的產品都有出售。產品須受出口／貿易法規規範。

HKD 363

現在訂購，約可在下列時間收貨：星期六, 九月 26

QTY:

Secured transaction

PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.

Our Top Logistics Partners

Fastest cross-border delivery

特色和優勢

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

Ubuy Assurance

Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns ^*, and secure packaging on every order.

Mastering Python for Finance: Implement advanced state-of-the-art financial statistical applications using Python, 2nd Edition

HKD 363

Fast Shipping

Free Return*

Secure Packaging

100% Original Products

PCI DSS Compliance

ISO 27001 Certified

What Stands Out

產品詳情

Who Should Buy?

產品敘述

客戶問題與解答

Python Editorial Review

Customer Reviews & Ratings

評價此產品

優點

缺點

Product Price History

重要資訊

HKD 363

特色和優勢

Ubuy Assurance

Fast
Shipping

Free
Return^*