Muguruza Aitor (6 results)
An Introduction To Python For Quantitative Finance: From Scratch To Productivity
Bilokon, Paul Alexander; Jacquier, Antoine; Mackie, Ewan; Muguruza, Aitor
- Hardcover
Seller: California Books, Miami, FL, U.S.A.California Books
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US$ 118.00
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Python, Data Science and Machine Learning: From Scratch to Productivity
Bilokon, Paul Alexander; Jacquier, Antoine; Mackie, Ewan; Muguruza, Aitor
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Python, Data Science and Machine Learning: From Scratch to Productivity
Bilokon, Paul Alexander; Jacquier, Antoine; Mackie, Ewan; Muguruza, Aitor
- Hardcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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US$ 117.98
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Python, Data Science and Machine Learning: From Scratch to Productivity
Bilokon, Paul Alexander; Jacquier, Antoine; Mackie, Ewan; Muguruza, Aitor
- Hardcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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More imagesAn Introduction To Python For Quantitative Finance: From Scratch To Productivity
Paul Alexander Bilokon, Antoine Jacquier, Ewan Mackie, Aitor Muguruza
Language: English
Published by World Scientific Publishing Co Pte Ltd, SG, 2026
- Hardcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
Contact seller5-star sellerCondition: New
US$ 138.51
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Hardback. Condition: New. This book is written for both newcomers and experienced practitioners working at the intersection of data science, machine learning, and finance. It is designed to allow readers with no formal prerequisites to enter these fields with confidence, while also providing sufficient depth to be valuable to pr…ofessionals.Beginning with a gentle introduction to Python, the book gradually progresses to more advanced language features and the mathematical foundations required to understand key models in quantitative finance. Throughout, the emphasis is on developing both conceptual understanding and practical skills.The material strikes a careful balance between the mathematics underpinning modern financial models and the practical considerations of data science and machine learning. Concepts are introduced and reinforced through hands-on case studies based on real financial datasets, enabling readers to gain experience working with realistic data and workflows.The contents of this book have been refined over many years of teaching to students and practitioners with diverse backgrounds at Imperial College London and the Thalesians Intensive Summer School in Artificial Intelligence, and reflects both academic rigor and real-world relevance.
An Introduction To Python For Quantitative Finance: From Scratch To Productivity
Paul Alexander Bilokon, Antoine Jacquier, Ewan Mackie, Aitor Muguruza
Language: English
Published by World Scientific Publishing Co Pte Ltd, SG, 2026
- Hardcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
Contact seller5-star sellerCondition: New
US$ 145.57
US$ 87.93 shippingShips from United Kingdom to U.S.A.Quantity: 12 available
Hardback. Condition: New. This book is written for both newcomers and experienced practitioners working at the intersection of data science, machine learning, and finance. It is designed to allow readers with no formal prerequisites to enter these fields with confidence, while also providing sufficient depth to be valuable to pr…ofessionals.Beginning with a gentle introduction to Python, the book gradually progresses to more advanced language features and the mathematical foundations required to understand key models in quantitative finance. Throughout, the emphasis is on developing both conceptual understanding and practical skills.The material strikes a careful balance between the mathematics underpinning modern financial models and the practical considerations of data science and machine learning. Concepts are introduced and reinforced through hands-on case studies based on real financial datasets, enabling readers to gain experience working with realistic data and workflows.The contents of this book have been refined over many years of teaching to students and practitioners with diverse backgrounds at Imperial College London and the Thalesians Intensive Summer School in Artificial Intelligence, and reflects both academic rigor and real-world relevance.
