Python For Finance Cookbook: A Comprehensive Guide to Python Libraries, Tools, and Techniques for Financial Data Analysis and Modeling

Python for Finance Cookbook: Over 50 recipes for applying modern Python libraries to financial data analysis

by Eryk Lewinson

4.3 out of 5

Language	:	English
File size	:	47497 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Print length	:	434 pages

FREE

The Python for Finance Cookbook is a comprehensive guide to using Python for financial data analysis and modeling. It covers a wide range of topics, from basic data manipulation to advanced machine learning techniques. The book is written in a clear and concise style, and it is packed with practical examples and code snippets.

Whether you are a beginner or an experienced Python developer, the Python for Finance Cookbook will help you to:

• Get started with Python for finance
• Learn the basics of financial data analysis
• Explore advanced machine learning techniques
• Develop your own financial applications

What's Inside?

The Python for Finance Cookbook is divided into four parts:

1. Part 1: Getting Started
   • to Python for finance
   • Getting started with Python
   • Data types and data structures
   • Control flow and functions
   • Object-oriented programming
2. Part 2: Data Analysis
   • Data exploration and visualization
   • Time series analysis
   • Statistical analysis
   • Machine learning
3. Part 3: Financial Modeling
   • Asset pricing models
   • Risk management models
   • Trading strategies
   • Investment analysis
4. Part 4: Case Studies
   • Building a stock trading application
   • Developing a risk management system
   • Creating an investment analysis tool

Who is this book for?

The Python for Finance Cookbook is written for anyone who wants to use Python for financial data analysis and modeling. It is suitable for both beginners and experienced Python developers.

About the Authors

• Yves Hilpisch is a financial engineer and author of the popular book Python for Finance.
• Prabhu Ramachandran is a data scientist and author of the book Machine Learning with Python for Finance.

The Python for Finance Cookbook is a valuable resource for anyone who wants to use Python for financial data analysis and modeling. It is a comprehensive guide that covers a wide range of topics, from basic data manipulation to advanced machine learning techniques. The book is written in a clear and concise style, and it is packed with practical examples and code snippets.

Whether you are a beginner or an experienced Python developer, the Python for Finance Cookbook will help you to:

• Get started with Python for finance
• Learn the basics of financial data analysis
• Explore advanced machine learning techniques
• Develop your own financial applications

Python for Finance Cookbook: Over 50 recipes for applying modern Python libraries to financial data analysis

by Eryk Lewinson

4.3 out of 5

Language	:	English
File size	:	47497 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Print length	:	434 pages

FREE