nowfound

Dev tools · alternatives · 2026

MB

My Book on Evolutionary Algorithms, Written in Python Notebooks is an educational resource that presents evolutionary algorithms through interactive Python notebooks. It was published in 2020 and is designed for… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. My Book on Evolutionary Algorithms, Written in Python Notebooks launched in 2020; newer entries below may have overtaken it.

  1. 1LE
  2. 2

    A practical book on Evolutionary Algorithms that teaches you the concepts and how they’re implemented in practice.

    2021 · datacrayon.com · its alternatives →

  3. 3

    Evolutionary Algorithms (EAs) are a fascinating class of algorithms for meta-heuristic optimisation. Perhaps the most difficult question to answer is where do we start? There is so much to cover, and many potential starting points.

    2020 · datacrayon.com · its alternatives →

  4. 4AC

    I'm making a coloring book of data structures and algorithms for programmers and students. So far I have a prototype page for a sorting algorithm (albeit a rather simple one). Here the Selection Sort coloring pages you can print. https://coderscoloringbook.com/selectionsort And here is how I colored mine. https://coderscoloringbook.com/selectionsortcolored A coloring book is not quite enough to teach algorithms on its own, but I really get a lot from visual reinforcement of what I learn from books/lectures. Do you think having coloring pages like this could…

    2017 · its alternatives →

  5. 5AG
  6. 6

    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 →

  7. 7

    Genetic algorithm library written in JavaScript. Contribute to lodenrogue/genetic-algorithm-js development by creating an account on GitHub.

    2020 · github.com · its alternatives →

  8. 8SP

    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 →

  9. 9

    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 →

  10. 10
    Taipy 3.0▲304

    Build powerful data and AI apps in pure Python

    2024 · github.com · its alternatives →

  11. 11

    Data Science and Python, starting at zero

    2015 · joelgrus.com · its alternatives →

  12. 12

    Your home for data science and AI. The world's leading publication for data science, data analytics, data engineering, machine learning, and artificial intelligence professionals.

    2019 · towardsdatascience.com · its alternatives →

  13. 13

    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…

    Feb 2026 · github.com · its alternatives →

  14. 14

    Notebooks for data scientists and data analysts.

    2021 · deepnote.com · its alternatives →

  15. 15

    Hey HN! I wrote a book on programming called The Elements of Code. I put the entire book online here: https://elementsofcode.io/ When mentoring (usually new) programmers, I noticed there were a few common mistakes that seemed to account for about 80% of the complexity in their code. I couldn’t find a concise guide to fixing those mistakes, so I decided to write one. The title is an homage to The Elements of Style by Strunk and White, which is the classic guide for communicating well using prose. That guide is quite tactical in nature, and I wanted to parallel its focus in The…

    2021 · pragprog.com · its alternatives →

  16. 16

    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 →

  17. 17MM
  18. 18

    Learning numerical computing with notebooks for all ages. - eka-foundation/numerical-computing-is-fun

    2017 · github.com · its alternatives →

  19. 19

    The Computer Science of Human Decisions

    2016 · amazon.com · its alternatives →

  20. 20

    A visual guide for beginners

    2017 · amazon.com · its alternatives →

  21. 21

    "The Bible" of all fundamental algorithms for programming

    2015 · amazon.com · its alternatives →

  22. 22

    Broad span of algorithms, covered in clear depth

    2015 · amazon.com · its alternatives →

  23. 23

    Nature's algorithms for learning and prospering in a complex

    2015 · amazon.com · its alternatives →

  24. 24

    Hey HN, I don’t know who else has the same issue, but: Textbooks often bury good ideas in dense notation, skip the intuition, assume you already know half the material, and get outdated in fast-moving fields like AI. Over the past 7 years of my AI/ML experience, I filled notebooks with intuition-first, real-world context, no hand-waving explanations of maths, computing and AI concepts. In 2024, a few friends used these notes to prep for interviews at DeepMind, OpenAI, Nvidia etc. They all got in and currently perform well in their roles. So I'm sharing. This is an open & unconventional…

    Feb 2026 · github.com · its alternatives →

Also compare

Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →