Financial Theory with Python
Autor Y Hilpischen Limba Engleză Paperback – 7 oct 2021
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Specificații
ISBN-13: 9781098104351
ISBN-10: 1098104358
Pagini: 200
Dimensiuni: 176 x 239 x 11 mm
Greutate: 0.34 kg
Editura: O'Reilly
ISBN-10: 1098104358
Pagini: 200
Dimensiuni: 176 x 239 x 11 mm
Greutate: 0.34 kg
Editura: O'Reilly
Notă biografică
Dr. Yves J. Hilpisch is the founder and CEO of The Python Quants (http: //home.tpq.io), a group focusing on the use of open source technologies for financial data science, artificial intelligence, algorithmic trading, and computational finance. He is also the founder and CEO of The AI Machine (http: //aimachine.io), a company focused on AI-powered algorithmic trading based on a proprietary strategy execution platform.
Yves has a Diploma in Business Administration, a Ph.D. in Mathematical Finance, and is Adjunct Professor for Computational Finance.
Yves is the author of five books (https: //home.tpq.io/books):
Artificial Intelligence in Finance (O'Reilly, forthcoming) Python for Algorithmic Trading (O'Reilly, forthcoming) Python for Finance (2018, 2nd ed., O'Reilly) Listed Volatility and Variance Derivatives (2017, Wiley Finance) Derivatives Analytics with Python (2015, Wiley Finance)
Yves is the director of the first online training program leading to University Certificates in Python for Algorithmic Trading (https: //home.tpq.io/certificates/pyalgo) and Computational Finance (https: //home.tpq.io/certificates/compfin). He also lectures on computational finance, machine learning, and algorithmic trading at the CQF Program (http: //cqf.com).
Yves is the originator of the financial analytics library DX Analytics (http: //dx-analytics.com) and organizes Meetup group events, conferences, and bootcamps about Python, artificial intelligence, and algorithmic trading in London (http: //pqf.tpq.io), New York (http: //aifat.tpq.io), Frankfurt, Berlin, and Paris. He has given keynote speeches at technology conferences in the United States, Europe, and Asia.
Yves has a Diploma in Business Administration, a Ph.D. in Mathematical Finance, and is Adjunct Professor for Computational Finance.
Yves is the author of five books (https: //home.tpq.io/books):
Artificial Intelligence in Finance (O'Reilly, forthcoming) Python for Algorithmic Trading (O'Reilly, forthcoming) Python for Finance (2018, 2nd ed., O'Reilly) Listed Volatility and Variance Derivatives (2017, Wiley Finance) Derivatives Analytics with Python (2015, Wiley Finance)
Yves is the director of the first online training program leading to University Certificates in Python for Algorithmic Trading (https: //home.tpq.io/certificates/pyalgo) and Computational Finance (https: //home.tpq.io/certificates/compfin). He also lectures on computational finance, machine learning, and algorithmic trading at the CQF Program (http: //cqf.com).
Yves is the originator of the financial analytics library DX Analytics (http: //dx-analytics.com) and organizes Meetup group events, conferences, and bootcamps about Python, artificial intelligence, and algorithmic trading in London (http: //pqf.tpq.io), New York (http: //aifat.tpq.io), Frankfurt, Berlin, and Paris. He has given keynote speeches at technology conferences in the United States, Europe, and Asia.
Descriere
Written by the best-selling author of Python for Finance, Yves Hilpisch, this new book explains financial, mathematical, and Python programming concepts in an integrative manner so that the interdisciplinary concepts reinforce each other.