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PYTHON FOR FINANCE: MASTERING DATA-DRIVEN FINANCE

By: Material type: TextTextPublication details: NAVI MUMBAI SHROFF PUBLISHERS & DISTRIBUTORS PVT LTD 2019Edition: 2nd edDescription: xviii, 691ISBN:
  • 978-93-5213-771-8
Subject(s): DDC classification:
  • 332.0285/HIL
Summary: The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics.
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Holdings
Item type Current library Call number Status Notes Date due Barcode
Books Books Symbiosis Institute of Computer Studies and Research Python 332.0285/HIL (Browse shelf(Opens below)) Available Python (Computer program language), Finance - Data processing, Big data. SICSR-B-19597
Books Books Symbiosis Institute of Computer Studies and Research Python 332.0285/HIL (Browse shelf(Opens below)) Available Python (Computer program language), Finance - Data processing, Big data. SICSR-B-19598
Books Books Symbiosis Institute of Computer Studies and Research Python 332.0285/HIL (Browse shelf(Opens below)) Available Python (Computer program language), Finance - Data processing, Big data. SICSR-B-19599
Books Books Symbiosis Institute of Computer Studies and Research Python 332.0285/HIL (Browse shelf(Opens below)) Available Python (Computer program language), Finance - Data processing, Big data. SICSR-B-19600
Books Books Symbiosis Institute of Computer Studies and Research Python 332.0285/HIL (Browse shelf(Opens below)) Available Python (Computer program language), Finance - Data processing, Big data. SICSR-B-19601

The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics.

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