BOOKS - Learning Modern C++ for Finance Foundations for Quantitative Programming (Fin...
Learning Modern C++ for Finance Foundations for Quantitative Programming (Final Release) - Daniel Hanson 2025 /RETAIL PDF | /RETAIL EPUB O’Reilly Media, Inc. BOOKS
1 TON

Views
67160

Telegram
 
Learning Modern C++ for Finance Foundations for Quantitative Programming (Final Release)
Author: Daniel Hanson
Year: 2025
Format: /RETAIL PDF | /RETAIL EPUB
File size: 10.1 MB
Language: ENG



Pay with Telegram STARS
Miller, Michael A. K. O'Connor, and Jesse McDougall. Learning Modern C++ for Finance: Foundations for Quantitative Programming (Final Release) In today's fast-paced world, technology is constantly evolving, and it is essential to stay up-to-date with the latest advancements to remain relevant in the field of finance. One such technology that has gained significant attention in recent years is C++, a high-performance programming language that has revolutionized the way we approach quantitative programming. In their book "Learning Modern C++ for Finance: Foundations for Quantitative Programming," David R. Miller, Michael A. K. O'Connor, and Jesse McDougall provide an in-depth look at the modern C++ programming language and its applications in finance. This comprehensive guide covers the fundamentals of C++ programming and its application in financial markets, making it an indispensable resource for anyone looking to learn this powerful language. The book begins by introducing the basics of C++ programming, including variables, data types, control structures, functions, and object-oriented programming. It then delves into more advanced topics such as templates, pointer arithmetic, and the Standard Template Library (STL).
Miller, Michael A. K. O'Connor, and Jesse McDougall. Изучение современного C++ для финансов: основы количественного программирования (окончательный выпуск) В современном быстро развивающемся мире технологии постоянно развиваются, и важно быть в курсе последних достижений, чтобы оставаться актуальным в области финансов. Одной из таких технологий, которая привлекла значительное внимание в последние годы, является C++, высокопроизводительный язык программирования, который произвел революцию в подходе к количественному программированию. В своей книге «arning Modern C++ for Finance: Foundations for Quantitative Programming» Дэвид Р. Миллер, Майкл А. К. О'Коннор и Джесси Макдугалл подробно рассматривают современный язык программирования C++ и его применение в финансах. Это всеобъемлющее руководство охватывает основы программирования на C++ и его применение на финансовых рынках, что делает его незаменимым ресурсом для тех, кто хочет выучить этот мощный язык. Книга начинается с введения основ программирования на C++, включая переменные, типы данных, структуры управления, функции и объектно-ориентированное программирование. Затем он углубляется в более сложные темы, такие как шаблоны, арифметика указателей и стандартная библиотека шаблонов (STL).
''

You may also be interested in:

Learning Modern C++ for Finance Foundations for Quantitative Programming (Final Release)
Multi-Agent Reinforcement Learning Foundations and Modern Approaches
Machine Learning for Finance Beginner|s guide to explore machine learning in banking and finance
Tensorflow for Quantitative Finance Transform Financial Analysis with TensorFlow|s Cutting-Edge Machine Learning Techniques (Python Libraries for Finance)
Tensorflow for Quantitative Finance Transform Financial Analysis with TensorFlow|s Cutting-Edge Machine Learning Techniques (Python Libraries for Finance)
Tensorflow for Quantitative Finance: Transform Financial Analysis with TensorFlow|s Cutting-Edge Machine Learning Techniques (Python Libraries for Finance Book 5)
Foundations of Computational Finance with MATLAB
Artificial Intelligence and Machine Learning Foundations Learning from experience, 2nd Edition
Artificial Intelligence and Machine Learning Foundations Learning from experience, 2nd Edition
Evolutionary Multi-Task Optimization: Foundations and Methodologies (Machine Learning: Foundations, Methodologies, and Applications)
Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning series)
R: For Finance and Accounting (Modern Revolutionary: Tools, Methods and Applications for Finance and Accounting Book 8)
Foundations of Finance The Logic and Practice of Financial Management, Tenth Edition
Deep Learning for Finance Creating Machine & Deep Learning Models for Trading in Python
Deep Learning for Finance Creating Machine & Deep Learning Models for Trading in Python
Online Machine Learning: A Practical Guide with Examples in Python (Machine Learning: Foundations, Methodologies, and Applications)
Machine Learning for Finance Master Financial Strategies with Python-Powered Machine Learning
Machine Learning for Finance Master Financial Strategies with Python-Powered Machine Learning
Robust Machine Learning: Distributed Methods for Safe AI (Machine Learning: Foundations, Methodologies, and Applications)
Learning Quantitative Finance with R
Probabilistic Machine Learning for Finance
Deep Learning: Foundations and Concepts
Foundations of Machine Learning, Second Edition
Deep Learning Foundations and Concepts
Deep Learning Foundations and Concepts
The Essentials of Machine Learning in Finance and Accounting
Statistical Reinforcement Learning Modern Machine Learning Approaches
Machine Learning Refined Foundations, Algorithms, and Applications
Handbook of Research on Machine Learning Foundations and Applications
Machine Learning for Healthcare Systems Foundations and Applications
Emergence and Innovation in Digital Learning Foundations and Applications
Machine Learning with Python Foundations and Applications ML, Volume 1
AI Advanced Machine Learning for Finance A Comprehensive Guide with Python
Machine Learning for Asset Managers (Elements in Quantitative Finance)
Machine Learning and Big Data with kdb+ q (Wiley Finance)
AI Advanced Machine Learning for Finance A Comprehensive Guide with Python
AI Advanced Machine Learning for Finance: A Comprehensive Guide with Python
Foundations of Deep Reinforcement Learning Theory and Practice in Python
Reinforcement Learning for Finance A Python-Based Introduction (Final Release)
Reinforcement Learning for Finance A Python-Based Introduction (Early Release)