Python for Finance (notice n° 79712)

détails MARC
000 -LEADER
fixed length control field 03568cam a2200277zu 4500
003 - CONTROL NUMBER IDENTIFIER
control field FRCYB88958034
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250108004639.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250108s2024 fr | o|||||0|0|||eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789355516893
035 ## - SYSTEM CONTROL NUMBER
System control number FRCYB88958034
040 ## - CATALOGING SOURCE
Original cataloging agency FR-PaCSA
Language of cataloging en
Transcribing agency
Description conventions rda
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Zherlitsyn, Dmytro
245 01 - TITLE STATEMENT
Title Python for Finance<br/>
Remainder of title Data analysis, financial modeling, and portfolio management (English Edition)<br/>
Statement of responsibility, etc. ['Zherlitsyn, Dmytro']
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Name of producer, publisher, distributor, manufacturer BPB Publications
Date of production, publication, distribution, manufacture, or copyright notice 2024
300 ## - PHYSICAL DESCRIPTION
Extent p.
336 ## - CONTENT TYPE
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type code c
Source rdamdedia
338 ## - CARRIER TYPE
Carrier type code c
Source rdacarrier
520 ## - SUMMARY, ETC.
Summary, etc. DescriptionPython's intuitive syntax and beginner-friendly nature makes it an ideal programming language for financial professionals. It acts as a bridge between the world of finance and data analysis.This book will introduce essential concepts in financial analysis methods and models, covering time-series analysis, graphical analysis, technical and fundamental analysis, asset pricing and portfolio theory, investment and trade strategies, risk assessment and prediction, and financial ML practices. The Python programming language and its ecosystem libraries, such as Pandas, NumPy, SciPy, Statsmodels, Matplotlib, Seaborn, Scikit-learn, Prophet, and other data science tools will demonstrate these rooted financial concepts in practice examples.This book will help you understand the concepts of financial market dynamics, estimate the metrics of financial asset profitability, predict trends, evaluate strategies, optimize portfolios, and manage financial risks. You will also learn data analysis techniques using Python programming language to understand the basics of data preparation, visualization, and manipulation in the world of financial data.Key Features? Comprehensive guide to Python for financial data analysis and modeling.? Practical examples and real-world applications for immediate implementation.? Covers advanced topics like regression, Machine Learning and time series forecasting.What you will learn? Learn financial data analysis using Python data science libraries and techniques.? Learn Python visualization tools to justify investment and trading strategies.? Learn asset pricing and portfolio management methods with Python.? Learn advanced regression and time series models for financial forecasting.? Learn risk assessment and volatility modeling methods with Python.Who this book is forThis book is designed for financial analysts and other professionals interested in the financial industry with a basic understanding of Python programming and statistical analysis. It is also suitable for students in finance and data science who wish to apply Python tools to financial data analysis and decision-making.Table of Contents1. Getting Started with Python for Finance2. Python Tools for Data Analysis: Primer to Pandas and NumPy3. Financial Data Manipulation with Python4. Exploratory Data Analysis for Finance5. Investment and Trading Strategies6. Asset Pricing and Portfolio Management7. Time Series Analysis and Financial Data Forecasting8. Risk Assessment and Volatility Modelling9. Machine Learning and Deep Learning in Finance10. Time Series Analysis and Forecasting with FB Prophet LibraryAppendix A: Python Code Examples for FinanceAppendix B: GlossaryAppendix C: Valuable Resources
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Zherlitsyn, Dmytro
856 40 - ELECTRONIC LOCATION AND ACCESS
Access method Cyberlibris
Uniform Resource Identifier <a href="https://international.scholarvox.com/netsen/book/88958034">https://international.scholarvox.com/netsen/book/88958034</a>
Electronic format type text/html
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