Derivatives Analytics with Python
Book Details
| Author | YVES HILPISCH |
|---|---|
| Publisher | |
| Published Year | 2015 |
| Pages | 377 |
| Language | English |
| ISBN-10 | |
| ISBN-13 |
Derivatives Analytics with Python by Yves Hilpisch is a practical guide that bridges financial theory and programming using Python. It focuses on implementing derivatives valuation and risk management models, including Monte Carlo simulations, numerical methods, and the pricing of options. Designed for quants, financial analysts, and students, the book combines real-world finance problems with robust Python code, enabling readers to build their own analytics and trading tools.
Add to Bookmark
Recommended Books For You
Prepare for Interview
- JavaScript Interview Questions for 1–2 Years Experience
- JavaScript Interview Questions for 0–1 Year Experience
- JavaScript Interview Questions For Fresher
- SQL Interview Questions for 5+ Years Experience
- SQL Interview Questions for 2–5 Years Experience
- SQL Interview Questions for 1–2 Years Experience
- SQL Interview Questions for 0–1 Year Experience
- SQL Interview Questions for Freshers
- Design Patterns in Python
- Dynamic Programming and Recursion in Python
- Trees and Graphs in Python
- Linked Lists, Stacks, and Queues in Python
- Sorting and Searching in Python
- Debugging in Python
- Unit Testing in Python
- Asynchronous Programming in PYthon
- Multithreading and Multiprocessing in Python
- Context Managers in Python
Tutorials
Follow us on Linkedin
Random Blogs
- Downlaod Youtube Video in Any Format Using Python Pytube Library
- Avoiding the Beginner’s Trap: Key Python Fundamentals You Shouldn't Skip
- AI in Marketing & Advertising: The Future of AI-Driven Strategies
- Variable Assignment in Python
- Best Platform to Learn Digital Marketing in Free
- Grow your business with Facebook Marketing
- Robotics & AI – How AI is Powering Modern Robotics
- What to Do When Your MySQL Table Grows Too Wide
- Mastering SQL in 2025: A Complete Roadmap for Beginners
- 15 Amazing Keyword Research Tools You Should Explore
- Deep Learning (DL): The Core of Modern AI
- Python Challenging Programming Exercises Part 1
- Understanding HTAP Databases: Bridging Transactions and Analytics
- AI & Space Exploration – AI’s Role in Deep Space Missions and Planetary Research
- AI Agents & Autonomous Systems – The Future of Self-Driven Intelligence
- Python Challenging Programming Exercises Part 3
Datasets for Machine Learning
- Amazon Product Reviews Dataset
- Ozone Level Detection Dataset
- Bank Transaction Fraud Detection
- YouTube Trending Video Dataset (updated daily)
- Covid-19 Case Surveillance Public Use Dataset
- US Election 2020
- Forest Fires Dataset
- Mobile Robots Dataset
- Safety Helmet Detection
- All Space Missions from 1957
- OSIC Pulmonary Fibrosis Progression Dataset
- Wine Quality Dataset
- Google Audio Dataset
- Iris flower dataset
- Artificial Characters Dataset