Mastering Python for finance: (Record no. 6115)

MARC details
000 -LEADER
fixed length control field 02140nam a22002177a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240105101623.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781789346466
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.133
Item number WEI
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Weiming, James Ma
245 ## - TITLE STATEMENT
Title Mastering Python for finance:
Remainder of title implement advanced state-of-the-art financial statistical applications using Python
250 ## - EDITION STATEMENT
Edition statement 2nd
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Packt Publishing Ltd.
Place of publication, distribution, etc. Birmingham
Date of publication, distribution, etc. 2019
300 ## - PHYSICAL DESCRIPTION
Extent ix, 409p.
365 ## - TRADE PRICE
Price type code INR
Price amount 3299.00
520 ## - SUMMARY, ETC.
Summary, etc. The second edition of Mastering Python for Finance will guide you through carrying out complex financial calculations practiced in the industry of finance by using next-generation methodologies. You will master the Python ecosystem by leveraging publicly available tools to successfully perform research studies and modeling, and learn to manage risks with the help of advanced examples. You will start by setting up your Jupyter notebook to implement the tasks throughout the book. You will learn to make efficient and powerful data-driven financial decisions using popular libraries such as TensorFlow, Keras, Numpy, SciPy, and scikit-learn. You will also learn how to build financial applications by mastering concepts such as stocks, options, interest rates and their derivatives, and risk analytics using computational methods. With these foundations, you will learn to apply statistical analysis to time series data, and understand how time series data is useful for implementing an event-driven backtesting system and for working with high-frequency data in building an algorithmic trading platform. Finally, you will explore machine learning and deep learning techniques that are applied in finance. By the end of this book, you will be able to apply Python to different paradigms in the financial industry and perform efficient data analysis.<br/><br/>(https://www.packtpub.com/product/mastering-python-for-finance-second-edition/9781789346466)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Python (Computer program language)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Application software-Development
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computers-Finance
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Total Renewals Full call number Accession Number Date last seen Date checked out Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     IT & Decisions Sciences TB3069 28-12-2023 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 01/05/2024 Technical Bureau India Pvt. Ltd. 2292.80 2 2 005.133 WEI 005312 02/09/2024 01/22/2024 1 3299.00 01/05/2024 Book

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