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Category: "Mathematics"

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  1. This book presents both the fundamentals and advanced topics of finite element analysis and design optimization in a concise and pedagogically structured manner

  2. Mastering Modern Time Series Forecasting
    A Comprehensive Guide to Statistical, Machine Learning, and Deep Learning Models in Python (Preorder)
    Valery Manokhin

    Mastering Modern Time Series Forecasting is your all-in-one guide to building real-world forecasting systems that work — from classical stats to deep learning and beyond. Whether you're modeling retail demand or energy loads, this book gives you the tools, intuition, and code to go from zero to production. You'll cover ARIMA, ML, deep nets, transformers, and even the rise of FTSMs (Foundational Time Series Models). Written by a practitioner who’s built forecasting solutions for multibillion-dollar businesses, this is the hands-on, honest guide every data scientist, analyst, or forecaster needs.

  3. Linear Algebra
    OpenIntro and Jim Hefferon

    If you are able to contribute, it will go to support OpenIntro (not the author), a US-based nonprofit working to spread open materials, e.g. by providing desk copies to instructors considering this text. This listing is in collaboration with the textbook's author, Jim Hefferon. Linear Algebra's official websitePaperbacks are $22openintro.org

  4. Discrete Mathematics for Computer Science
    Alexander S. Kulikov, Alexander Golovnev, Alexander Shen, Vladimir Podolskii, and Marie Brodsky

    This book supplements the DM for CS Specialization at Coursera and contains many interactive puzzles, autograded quizzes, and code snippets. They are intended to help you to discover important ideas in discrete mathematics on your own. By purchasing the book, you will get all updates of the book free of charge when they are released.

  5. Mastering Advanced Time Series Forecasting in Python: Probabilistic, Hierarchical, and Foundation Models
    Master advanced forecasting with Python using machine learning, deep learning, and cutting-edge foundational models. Learn hierarchical and probabilistic forecasting, forecastability, metrics, and scalable pipelines. Build robust, real-world forecasting systems with production-ready code and expert guidance.
    Valery Manokhin

    Mastering Advanced Time Series Forecasting in Python is the definitive sequel to the #1 forecasting bestseller. Designed for practitioners who want to go beyond ARIMA and basic ML, this book takes you deep into probabilistic forecasting, hierarchical coherence, and cutting-edge foundation models—backed by production-ready Python code. Learn how to assess forecastability, build scalable pipelines, quantify uncertainty, and deploy systems that deliver real business impact. Written by a globally recognized expert whose methods power multimillion-dollar decisions, this is the practical, honest, and advanced guide every data scientist, ML engineer, and quantitative professional needs to master modern forecasting.

  6. APEX Calculus
    4th Edition
    OpenIntro and Gregory Hartman

    Leanpub revenue supports OpenIntro. OpenIntro is a US-based nonprofit that provides textbook services to help increase adoption of OER textbooks and save students money. These textbook services are fully financed by Leanpub contributions on supported books. APEX Calculus website: apexcalculus.comOpenIntro website: openintro.org

  7. A Quick Steep Climb Up Linear Algebra
    Version 1.1.0
    Stephen Davies
    No Description Available
  8. No Description Available
  9. Introductory Statistics with Randomization and Simulation
    OpenIntro, David Diez, Mine Cetinkaya-Rundel, and Christopher Barr

    A complete foundation for Statistics, also serving as a foundation for Data Science, that introduces inference using randomization and simulation while covering traditional methods. Leanpub revenue supports OpenIntro, so we can provide free desk copies to teachers interested in using our books in the classroom. More resources: openintro.org.

  10. The Smartest Way to Learn Python Regular Expressions
    Learn the Best-Kept Productivity Secret of Code Masters
    Christian Mayer, Zohaib Riaz, and Lukas Rieger

    Google engineers are regular expression masters. Do you want to become one, too? The Smartest Way to Learn Python Regex transforms you into a regular expression master. The book leverages an innovative learning approach: (1) read a chapter, (2) watch a course video, and (3) solve a code puzzle. It's fun!

  11. No Description Available
  12. 10 coloring pages✔ Large, clear numbers✔ Fun illustrations for children✔ Printable PDF format✔ Suitable for schools, mothers, and teachers

  13. This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from the Software Diagnostics and Observability Institute and the Software Diagnostics Library (former Crash Dump Analysis blog) about software diagnostics, root cause analysis, debugging, crash and hang dump analysis, and software trace and log analysis written from 15 April 2024 to 14 November 2025.

  14. Elements of Programming
    A Treatise on the Foundations of Computing
    Vester Thacker

    Elements of Programming reimagines software as a discipline of logic, structure, and responsibility. Inspired by Euclid, it presents programming through definitions, postulates, and proofs that build a coherent view of computation. From identity and composition to semantics, type systems, and ethics, the book traces how formal reasoning shapes trustworthy systems. It argues that software is not only a technical creation but also a moral one, expressing human intention and consequence. For readers who value precision, clarity, and integrity, this treatise reveals how truth and purpose meet in code.

  15. The Geometry Brain Workout
    challenging problems and innovative solutions
    Mario Balit

    From curious beginners to seasoned problem solvers, this book offers a journey through captivating shapes and clever challenges. Boost your creativity and logical thinking with every page!