Lưu ý: Hình bìa chỉ mang tính minh họa — không phải ảnh sách thực tế. Nội dung và bản quyền sách được đảm bảo chính hãng từ nhà xuất bản. Chợ Sách chỉ cam kết sách do người bán cung cấp là sách chính hãng; khiếu nại về bìa khác hình minh họa sẽ được xem xét từng trường hợp.
Python for Finance Cookbook: Over 80 powerful recipes for effective financial data analysis, 2nd Edition
Tác giả: Eryk Lewinson
NXB: Packt Publishing
Chi tiết sản phẩm
- #316,572 in Books
- #75 in Data Modeling & Design
- #92 in Business Finance
- #239 in Python Programming
Về tác giả — Eryk Lewinson
Follow authors to get new release updates, plus improved recommendations. Eryk Lewinson received his master's degree in quantitative finance from Erasmus University Rotterdam (EUR). In his professional career, he gained experience in the practical application of data science methods while working for two "Big 4" companies, a Dutch FinTech scale-up and the Netherlands' largest e-commerce company. In his work, he focuses on using machine learning to provide business value to companies. In his spare time, he enjoys writing about topics related to data science, playing video games, and traveling with his girlfriend. Read more about this author Read less about this author Read more about this author Read less about this author
Đánh giá từ chuyên gia
Review"If there is only one book that you plan to buy for learning how to apply Python to financial problems, this is probably the book to buy. Highly recommended!"Ram Seshadri, Senior Program Manager, Google“My favorite chapters are the ones on acquiring financial data and data pre-processing. […]The aim of the book is simply to make readers aware that difficult problems can be solved with tools that exist in the Python universe. […]The book is worth considering when you want to use blueprints to start exploring how to build your own applications or – if you are lucky – you might find the exact application you need among the 80 examples. Be aware that if you wish to delve into the concepts and the underlying technical details you will certainly have to consult further resources. I can recommend this book for people who are starting to apply Python to financial problems, are learning how to work with data, or those who want to explore some of the available packages and libraries.”Jörg Kienitz, Adj. Assoc. Professor of Financial Mathematics, University of Cape Town and Privatdozent Mathematik, University of Wuppertal“Few books are as practical and hands-on as Eryk’s. He clearly put in a lot of time to ensure you can learn quickly without the hassle of collecting data or reusing a single set time and time again. The writing makes learning look so easy, you almost forget your skills are [being] boosted lightning fast. Once you get the hang of the “recipe” structure, it’s [just] a matter of finding the right chapter to match your current learning need or challenge.”Erick Webbe, Head of Data Science @ bol.com"Python for Finance Cookbook is a highly practical and accessible guide that provides everyone the knowledge and necessary tools needed to harness [the power of Python]. [The] recipes (use cases) are very well presented. I [particularly] liked […] chapter 12 – Backtesting Trading Strategies, along with chapters 13, 14, and 15. The author engages the readers with […] hands-on features.This book provides a wealth of recipes that cover a wide range of topics."Vishwanath GortiGlobal Enterprise Engineer | Vice President @ Deutsche Bank
Ram Seshadri, Senior Program Manager, Google"If there is only one book that you plan to buy for learning how to apply Python to financial problems, this is probably the book to buy. Highly recommended!"
Mô tả nội dung sách Python for Finance Cookbook: Over 80 powerful recipes for effective financial data analysis, 2nd Edition - Eryk Lewinson
Thông tin sách: Python for Finance Cookbook: Over 80 powerful recipes for effective financial data analysis, 2nd Edition (Kindle, 740 trang) – Packt Publishing, 2022. Ngôn ngữ: Tiếng Anh.
Use modern Python libraries such as pandas, NumPy, and scikit-learn and popular machine learning and deep learning methods to solve financial modeling problems
Purchase of the print or Kindle book includes a free eBook in the PDF format
Key Features- Explore unique recipes for financial data processing and analysis with Python
- Apply classical and machine learning approaches to financial time series analysis
- Calculate various technical analysis indicators and backtest trading strategies
Python is one of the most popular programming languages in the financial industry, with a huge collection of accompanying libraries. In this new edition of the Python for Finance Cookbook, you will explore classical quantitative finance approaches to data modeling, such as GARCH, CAPM, factor models, as well as modern machine learning and deep learning solutions.
You will use popular Python libraries that, in a few lines of code, provide the means to quickly process, analyze, and draw conclusions from financial data. In this new edition, more emphasis was put on exploratory data analysis to help you visualize and better understand financial data. While doing so, you will also learn how to use Streamlit to create elegant, interactive web applications to present the results of technical analyses.
Using the recipes in this book, you will become proficient in financial data analysis, be it for personal or professional projects. You will also understand which potential issues to expect with such analyses and, more importantly, how to overcome them.
What you will learn- Preprocess, analyze, and visualize financial data
- Explore time series modeling with statistical (exponential smoothing, ARIMA) and machine learning models
- Uncover advanced time series forecasting algorithms such as Meta's Prophet
- Use Monte Carlo simulations for derivatives valuation and risk assessment
- Explore volatility modeling using univariate and multivariate GARCH models
- Investigate various approaches to asset allocation
- Learn how to approach ML-projects using an example of default prediction
- Explore modern deep learning models such as Google's TabNet, Amazon's DeepAR and NeuralProphet
This book is intended for financial analysts, data analysts and scientists, and Python developers with a familiarity with financial concepts. You'll learn how to correctly use advanced approaches for analysis, avoid potential pitfalls and common mistakes, and reach correct conclusions for a broad range of finance problems.
Working knowledge of the Python programming language (particularly libraries such as pandas and NumPy) is necessary.
Table of ContentsGiá bán
1.173.000 ₫
Đánh giá sản phẩm(78)
Khách hàng cũng mua
0Automate the Boring Stuff with Python, 3rd Edition
Al Sweigart
Liên hệ
0
0The Tao of Trading: How to Build Abundant Wealth in Any Market Condition
Simon Ree
Liên hệ
0
0Python 3: The Comprehensive Guide to Hands-On Python Programming (Rheinwerk Computing)
Johannes Ernesti, Peter Kaiser
Liên hệ
0
0Python Programming Language: a QuickStudy Laminated Reference Guide
Robin Nixon
Liên hệ
0
0Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
Wes McKinney
1.291.000 ₫
0Python for Finance: Mastering Data-Driven Finance
Yves Hilpisch
1.870.000 ₫
0Deep Reinforcement Learning Hands-On: A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF
Maxim Lapan
Liên hệ
0
0Python QuickStart Guide: The Simplified Beginner's Guide to Python Programming Using Hands-On Projects and Real-World Applications (Coding & Programming - QuickStart Guides)
Robert Oliver
Liên hệ
0
0Python for Excel: A Modern Environment for Automation and Data Analysis
Felix Zumstein
1.182.000 ₫
2.163.000 ₫
0Quantitative Trading: How to Build Your Own Algorithmic Trading Business (Wiley Trading)
Ernest P. Chan
1.118.000 ₫
0The Definitive Guide to Power Query (M): Mastering complex data transformation with Power Query
Gregory Deckler, Rick de Groot, Melissa de Korte
Liên hệ
0
0Artificial Intelligence in Finance: A Python-Based Guide
Yves Hilpisch
1.452.000 ₫
0Algorithmic Trading: Winning Strategies and Their Rationale (Wiley Trading)
Ernest P. Chan
Liên hệ
0
0Advanced Portfolio Management: A Quant's Guide for Fundamental Investors
Giuseppe A. Paleologo
Liên hệ
0
0Quantitative Portfolio Management: The Art and Science of Statistical Arbitrage
Michael Isichenko
Liên hệ
0
0Building AI Agents with LLMs, RAG, and Knowledge Graphs: A practical guide to autonomous and modern AI agents
Salvatore Raieli, Gabriele Iuculano
Liên hệ
0
0Deep Learning Math Workbook: 300 puzzles to build your mathematical foundation for deep learning
Tom Yeh
Liên hệ
0
0Hands-On AI Trading with Python, QuantConnect, and AWS
Jiri Pik, Ernest P. Chan, Jared Broad, Philip Sun, Vivek Singh
Liên hệ
0Sách cùng thể loại
Xem tất cả →
0Fuzzy Logic For Beginners
Masao Mukaidono
822.000 ₫
0MCMC from Scratch: A Practical Introduction to Markov Chain Monte Carlo
Masanori Hanada, So Matsuura
Liên hệ
0
0Starting Out with Python plus MyLab Programming with Pearson eText -- Access Card Package (3rd Edition)
Tony Gaddis
2.956.000 ₫
0Guide to UNIX Using Linux (Networking (Course Technology))
Michael Palmer
2.095.000 ₫
9.700.000 ₫
0Microsoft Office 2010: Introductory (Available Titles Skills Assessment Manager (SAM) - Office 2010)
Gary Shelly, Misty Vermaat
1.475.000 ₫
7.668.000 ₫
0Python For Beginners: Learn Python In 5 Days With Step-by-Step Guidance And Hands-On Exercises (Python Programming, Python Crash Course, Programming For Beginners) (Coding Made Easy Book)
James Tudor
Liên hệ
0
0Managing Humans: Biting and Humorous Tales of a Software Engineering Manager
Michael Lopp
853.000 ₫
0CISSP Study Guide
Joshua Feldman, Seth Misenar, Eric Conrad
436.000 ₫
0How to Cheat in Maya: Tools and Techniques for the Maya Animator
Eric Luhta
1.061.000 ₫
0General Systemology: Transdisciplinarity for Discovery, Insight and Innovation (Translational Systems Sciences, 13)
David Rousseau, Jennifer Wilby, Julie Billingham, Stefan Blachfellner
Liên hệ
0
0Political, Economic and Legal Effects of Artificial Intelligence: Governance, Digital Economy and Society (Contributions to Political Science)
Georgios I. Zekos
Liên hệ
0
0Introduction To Evolutionary Informatics
Robert J Marks Ii, William A Dembski, Winston Ewert
Liên hệ
0