Investing for Programmers

by
Format: Nonspecific Binding
Pub. Date: 2025-10-21
Publisher(s): Simon & Schuster
List Price: $58.65

Buy New

Usually Ships in 5-7 Business Days
$58.59

Rent Textbook

Select for Price
There was a problem. Please try again later.

Used Textbook

We're Sorry
Sold Out

eTextbook

We're Sorry
Not Available

How Marketplace Works:

  • This item is offered by an independent seller and not shipped from our warehouse
  • Item details like edition and cover design may differ from our description; see seller's comments before ordering.
  • Sellers much confirm and ship within two business days; otherwise, the order will be cancelled and refunded.
  • Marketplace purchases cannot be returned to eCampus.com. Contact the seller directly for inquiries; if no response within two days, contact customer service.
  • Additional shipping costs apply to Marketplace purchases. Review shipping costs at checkout.

Summary

Maximize your portfolio, analyze markets, and make data-driven investment decisions using Python and generative AI.

Programmers have a unique superpower when it comes to managing financial stock analysis, price forecasting, and strategic investing. Using popular open-source Python libraries and cutting-edge AI tools, you can do the kind of sophisticated analysis that’s normally limited to expensive software and financial professionals. This book shows you how!

In Investing for Programmers you’ll learn how to:

 • Build stock analysis tools and predictive models
 • Identify market-beating investment opportunities
 • Design and evaluate algorithmic trading strategies
 • Use AI to automate investment research
 • Analyze market sentiments with media data mining

Investing for Programmers shows you how to use your existing programming skills to take on common investment practices, helping you develop skills that can lead to financial independence. You'll learn the basics of financial investment as you conduct real market analysis, connect with trading APIs to automate buy-sell, and develop a systematic approach to risk management.

About the book

In Investing for Programmers, you’ll work with a familiar stack of Python tools—including Pandas, NumPy, and Matplotlib—to dissect stock market data, uncover patterns, and build predictive models. Real-life examples help you build your own intuition about financial markets. To practice as you go, you’ll create an in-depth investment strategy for the automotive market and explore how generative AI can enhance your research and decision-making process. You’ll soon be on track for retirement, financial independence, and getting more from your hard-earned money.

About the reader

For Python programmers with data analysis experience. Only the most basic investing knowledge is needed. If you've traded stocks in an online platform or made retirement plan decisions, you're ready to begin.

About the author

Stefan Papp combines 20+ years of investment experience across stocks, cryptocurrency, and bonds with decades of work as a data engineer, architect, and consultant for major enterprises.

Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.

 

Author Biography

Stefan Papp combines 20+ years of investment experience across stocks, cryptocurrency, and bonds with decades of work as a data engineer, architect, and consultant for major enterprises.

An electronic version of this book is available through VitalSource.

This book is viewable on PC, Mac, iPhone, iPad, iPod Touch, and most smartphones.

By purchasing, you will be able to view this book online, as well as download it, for the chosen number of days.

Digital License

You are licensing a digital product for a set duration. Durations are set forth in the product description, with "Lifetime" typically meaning five (5) years of online access and permanent download to a supported device. All licenses are non-transferable.

More details can be found here.

A downloadable version of this book is available through the eCampus Reader or compatible Adobe readers.

Applications are available on iOS, Android, PC, Mac, and Windows Mobile platforms.

Please view the compatibility matrix prior to purchase.