investing for programmers

by Stefan Papp

Genres: Programming, Finance

Unknown Binding

About the author

Author of four books... Now an avid reader. I live in Armenia, where I enjoy a great culture.

Not yet decided if I want to write a book again

Reviews

[Ferhat Elmas · Rating 4 out of 5]

Bridges two worlds elegantly; practical, empowering, and refreshingly hype-free but its thin coverage of automation and underdeveloped AI sections keep it from true greatness.

[Tim · Rating 5 out of 5]

if you have software development skills and are interested in investing (using your own money to earn more money), I recommend this book as a good introduction to combining those pursuits.

It’s fairly hands-on, with practical examples that the author walks you through to explore data sources, APIs, and techniques for tracking and analysis to help make informed investment decisions.

I’d classify this as an introductory guide — experienced developers with an interest in investing but limited experience in the field will benefit most. The ability to write your own code can give you an edge over using the same purpose-built financial analysis tools everyone else is using.

I’m looking forward to a follow-up. After reading this, I feel the barrier to writing my own code for investment analysis has been lowered.

[Gary Bake · Rating 5 out of 5]

As a seasoned developer, I found Investing for Programmers to be a refreshing and practical bridge between writing clean code and building a solid portfolio.

The author takes the familiar tools of a data engineer Python, NumPy, Pandas, and even AI driven research and uses them to demystify investing concepts that often feel daunting. Rather than peddling quick-flip schemes, the narrative empowers you to build your own analysis pipeline, spot meaningful patterns, and manage risk with the same rigor you apply to production systems.

Especially relevant for professionals comfortable with data but curious about money, this book offers a clever "code meets capital" approach that keeps you engaged. Highly recommended if you’re ready to invest not just money but your engineering mindset in your financial future.

[Kevin · Rating 5 out of 5]

OK, so maybe your first project after reading this won't be to build the biggest hedge fund in history but it could be your 2nd or 3rd!
Seriously though, this is a great read and for anyone with a smidgen of coding experience coupled with an interest in finance and how investing works, this is a great book.

It explains and demystifies the lingo and terminology that's bandied around when it comes to investing.

I was surprised at just how easy it could be to start building out investing apps from scratch.

Use it as a reference too - clear and concise.

Kevin Orr - chief nerd @ Sumus Solutions Limited

[Jeremy Chen · Rating 5 out of 5]

As one who has dabbled in automating the processing of data to provide information for investing decisions, I found this book to be a very well thought out detailed treatment. It covers classic topics like bonds, dividend investing, value estimation, and risk management; as well as more modern topics such as "crypto" (e.g.: mining, staking, etc.), and the use of recent developments in AI. It provides good guidance for building tools such as monitoring tools and alert generation tools. For anyone new to, and keen on learning how to automate aspects of investment decisions, this would be a good accelerator.

[Amarjit Bhandal · Rating 5 out of 5]

An excellent text to get your head around investment domain, and as a programmer to leverage your skills and get ahead in your growth journey.

[Sofiia Shvets · Rating 5 out of 5]

As a programmer who's always wanted to approach investing more seriously (without diving into hedge fund-level stuff), this book was exactly what I needed

It covers everything from collecting and analyzing market data with Python to building your own asset tracker and even using AI tools for research. I especially liked the chapters on risk, portfolio monitoring, and the thoughtful take on behavioral finance.

Thanks again to both Divya and Stefan for all the incredible work you’ve put into this book. Congratulations on the launch!