Java Programming for Financial Computing (An Essential Packages For Programming, Colding and Hacking Takeaways Book 5)
by Kent Beck
English | December 15, 2024 | ASIN: B0DQL8TPSJ | 317 pages | PDF | 96 Mb
A Comprehensive Guide to Building Financial Applications with Java
As the financial industry continues to evolve and become increasingly complex, the need for skilled programmers who can develop efficient, reliable, and scalable financial applications is growing rapidly. Java is a popular programming language in the financial industry due to its platform independence, object-oriented design, and extensive libraries and frameworks.
This comprehensive guide provides a thorough introduction to Java programming for financial computing, covering the basics of Java programming, financial concepts, and financial modeling. We will explore the use of Java for financial applications, including options pricing, risk analysis, portfolio optimization, and algorithmic trading.
Throughout the book, we will use practical examples and case studies to illustrate key concepts and techniques. We will also provide a comprehensive overview of the Java libraries and frameworks commonly used in financial computing, including JavaFX, Apache Commons, and Weka.
Key Features:
Comprehensive introduction to Java programming for financial computing
Coverage of financial concepts, including options pricing, risk analysis, and portfolio optimization
Practical examples and case studies to illustrate key concepts and techniques
Comprehensive overview of Java libraries and frameworks commonly used in financial computing
Companion website with supplementary materials, including code examples, exercises, and solutions
What You'll Learn:
Java programming basics, including data types, operators, control structures, functions, and classes
Financial concepts, including options pricing, risk analysis, and portfolio optimization
Financial modeling and simulation using Java
Algorithmic trading and risk management using Java
Java libraries and frameworks for financial computing, including JavaFX, Apache Commons, and Weka
Target Audience:
Students and researchers in computer science, mathematics, and finance
Practitioners and professionals in the financial industry
Anyone interested in learning about Java programming for financial computing
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