Dev tools · alternatives · 2026
24 alternatives to Data Engineering Book – An open source, community-driven guide
Hi HN! I'm currently a Master's student at USTC (University of Science and Technology of China). I've been diving deep into Data Engineering, especially in the context of Large Language Models (LLMs). The Problem: I found that learning resources for modern data engineering are often fragmented and scattered across hundreds of medium articles or disjointed tutorials. It's hard to piece everything together into a coherent system. The Solution: I decided to open-source my learning notes and build them into a structured book. My goal is to help developers fast-track their learning curve. Key…
Data Engineering Book is an open-source guide created by a Master's student that consolidates fragmented learning resources into a structured reference for developers. It focuses on modern data engineering with… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1IW
https://www.manning.com/books/data-oriented-programming-in-j... This book is a distillation of everything I’ve learned about what effective development looks like in Java (so far!). It's about how to organize programs around data "as plain data" and the surprisingly benefits that emerge when we do. Programs that are built around the data they manage tend to be simpler, smaller, and significantly easier understand. Java has changed radically over the last several years. It has picked up all kinds of new language features which support data oriented programming (records,…
2024 · its alternatives →
- 2
Everyday Data Science. A book about using data science to solve day-to-day problems. It is a collection of stories, jokes, pictures, math, and code all designed to inspire future data professionals. We make decisions everyday, but often times we don
2021 · andrewnc.github.io · its alternatives →
- 3MB
2020 · packtpub.com · its alternatives →
- 4IW
Hey folks. Last year I was fortunate enough to sign a deal to write a book with my favorite technical publisher, The Pragmatic Bookshelf. When I started out as an Engineering Manager many years ago, I found that there wasn't a huge amount of material that specifically and practically helped me understand how to do my job. When you learn to program there's all of these amazing tutorials, examples and guides, but what was there for new managers? In response to this, a couple of years ago I started a blog over at https://www.theengineeringmanager.com which got a decent amount of…
2020 · its alternatives →
- 5SP
Hi HN, Over the past 6 months I've been working on a technical book focused on helping aspiring data scientists to get hands-on experience with cloud computing environments using the Python ecosystem. The book is targeted at readers already familiar with libraries such as Pandas and scikit-learn that are looking to build out a portfolio of applied projects. To author the book, I used the Leanpub platform to provide drafts of the text as I completed each chapter. To typeset the book, I used the R bookdown package by Yihui Xie to translate my markdown into a PDF format. I also used Google docs…
2020 · its alternatives →
- 6
How to think about data
2015 · amazon.com · its alternatives →
- 7
Hey HN, I just wanted to share that after five months of intense work and countless caffeine-fueled writing sessions, "Master Software Architecture: A Pragmatic Guide" is now available. Writing this book was a crazy time. I entirely focused on it, and it took exactly 753 hours of writing, editing, and image editing & resizing(!) until the premiere. Yes, the last one (images) was a killer. If you ever think about writing a book, reserve a lot of time for it unless someone else does it for you. As a result, I am handing you the nearly 400-page book. It is a guide that will help you connect all…
2024 · leanpub.com · its alternatives →
- 8
A practical book on Data Analysis with Rust Notebooks that teaches you the concepts and how they’re implemented in practice.
2020 · datacrayon.com · its alternatives →
- 9
The Open Source Data Science Masters. Contribute to datasciencemasters/go development by creating an account on GitHub.
2014 · github.com · its alternatives →
- 10WW
Restructure your knowledge of the complex data analytics landscape, and learn how to build scalable analytics & BI stacks in the modern cloud era
2020 · holistics.io · its alternatives →
- 11
The guide for building large, iOS, and Android native apps - with the challenges and common solutions across the industry.
2021 · mobileatscale.com · its alternatives →
- 12IC
A friend and I wrote a book on how to build and train Deep Learning models in Go. We wanted it to be a useful reference for deep learning basics for Go programmers. Deep Learning is slowly seeping into everything we use every day and we thought it would be great if more people could do it in Go. The book is available here and on Amazon as well. https://www.packtpub.com/big-data-and-business-intelligence/hands-deep-learning-go We would appreciate any feedback and we're always looking to improve.
2019 · its alternatives →
- 13IW
The book page links to a blog post that explains how I got about it (and has a link to sample content), but the TL&DR is that I could not find a lot of books that were on "our" history _and_ were larded with technical details. So I set about writing one, and some five years later I'm happy to share the result. I think it's one of the few "computer history" books that has tons of code, but correct me if I'm wrong (I wrote this both to tell a story and to learn :-)). My favorite languages are Smalltalk and Lisp, but as an Emacs user, I've been using the latter for much longer and for my…
Feb 2026 · berksoft.ca · its alternatives →
- 14MO
2018 · anvaka.github.io · its alternatives →
- 15MM
2020 · mlpowered.com · its alternatives →
- 16DE
2020 · awesomedataengineering.com · its alternatives →
- 17
A guide for anyone who works with data
2017 · leanpub.com · its alternatives →
- 18
Every data pipeline job I had to tackle required quite a few components to set up: - One tool to ingest data - Another one to transform it - If you wanted to run Python, set up an orchestrator - If you need to check the data, a data quality tool Let alone this being hard to set up and taking time, it is also pretty high-maintenance. I had to do a lot of infra work, and while this being billable hours for me I didn’t enjoy the work at all. For some parts of it, there were nice solutions like dbt, but in the end for an end-to-end workflow, it didn’t work. That’s why I decided to build an…
2024 · github.com · its alternatives →
- 19
Hello HN! I’m Elias. I’ve been an educator in Engineering and Computer Science for some years, and I'm always looking for ways to make learning more engaging and hands-on. A few months ago, I started experimenting with the idea of a book that changes and evolves as you interact with it. It started with a chapter on sorting but that snowballed into a 22-chapter interactive book. My objective in writing this book, was to introduce a more interactive format for technical books that doesn't require internet access, that is lightweight, comprehensive, cross-platform, and can provide a better…
2025 · cartesian.app · its alternatives →
- 20
The authoritative resource for learning Go
2016 · amazon.com · its alternatives →
- 21
A beginner's hands-on guide to working with analytics for s…
2015 · mattish.com · its alternatives →
- 22
Build scalable analytics & BI stacks in modern cloud era 📚
2020 · holistics.io · its alternatives →
- 23
I started writing this book 10 years ago in JavaScript, got through a few chapters (asymptotic notation, basic techniques, start of sorting), and then abandoned it. Recently I picked it back up, converted everything to TypeScript, and used AI (Zenflow [1] + Claude Opus 4.6) to complete the remaining chapters. I provided the structure, direction, and initial chapters; the AI generated the bulk of the remaining content under a spec-driven workflow. The book covers roughly a first 1-2 year CS curriculum: sorting, dynamic programming, graph algorithms, trees, heaps, hash tables, and more. All…
Mar 2026 · amoilanen.github.io · its alternatives →
- 24
Hi everyone, we’re a small team, supported by Mozilla, who are working on re-imagining a UI for training, tuning and testing local LLMs. Everything is open source. If you’ve been training your own LLMs or have always wanted to, we’d love for you to play with the tool and give feedback on what the future development experience for LLM engineering could look like.
2025 · github.com · its alternatives →
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