Learning Modern C + + for Finance - Foundations for Quantitative ...
- Category Other
- Type E-Books
- Language English
- Total size 3.8 MB
- Uploaded By freecoursewb
- Downloads 246
- Last checked 8 hours ago
- Date uploaded 1 year ago
- Seeders 16
- Leechers 0
Infohash : 7A0DEB3BC6E6E70A5D29818776093715C2CCFD65
Learning Modern C++ for Finance: Foundations for Quantitative Programming (True/Retail PDF)
https://DevCourseWeb.com
English | December 10th, 2024 | ISBN: 1098100808 | 431 pages | True PDF | 3.83 MB
This practical book demonstrates why C++ is still one of the dominant production-quality languages for financial applications and systems. Many programmers believe that C++ is too difficult to learn. Author Daniel Hanson demonstrates that this is no longer the case, thanks to modern features added to the C++ Standard beginning in 2011.
Financial programmers will discover how to leverage C++ abstractions that enable safe implementation of financial models. You'll also explore how popular open source libraries provide additional weapons for attacking mathematical problems. C++ programmers unfamiliar with financial applications also benefit from this handy guide.
Files:
[ DevCourseWeb.com ] Learning Modern C + + for Finance - Foundations for Quantitative Programming (True - Retail PDF)- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here !
- Bonus Resources.txt (0.4 KB)
- LearningModernCforFinance-DanielHanson.pdf (3.8 MB)
There are currently no comments. Feel free to leave one :)
Code:
- udp://tracker.torrent.eu.org:451/announce
- udp://tracker.tiny-vps.com:6969/announce
- http://tracker.foreverpirates.co:80/announce
- udp://tracker.cyberia.is:6969/announce
- udp://exodus.desync.com:6969/announce
- udp://explodie.org:6969/announce
- udp://tracker.opentrackr.org:1337/announce
- udp://9.rarbg.to:2780/announce
- udp://tracker.internetwarriors.net:1337/announce
- udp://ipv4.tracker.harry.lu:80/announce
- udp://open.stealth.si:80/announce
- udp://9.rarbg.to:2900/announce
- udp://9.rarbg.me:2720/announce
- udp://opentor.org:2710/announce