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McIntyre N: Calculus for the Curious

Calculus for the Curious

Foreword Acknowledgments Introduction Chapter 1: Python Basics Chapter 2: Drawing with Turtle Graphics Chapter 3: Functions and Derivatives Chapter 4: Integrals Chapter 5: Ordinary Differential Equations and Vectors Chapter 6: Dynamical Systems Chapter 7: Linear Algebra with NumPy Chapter 8: Multivariable Calculus Chapter 9: Fourier Transforms Appendix A Bibliography Index

An essential companion to The Rust Programming Language, 2nd Edition, offering targeted exercises to enhance beginners' skills in reading and writing Rust code. The Rust Programming Language Workbook provides short coding exercises inspired by the rustlings project and organized by topic. The workbook starts with concepts common to many programming languages today like variables, data types, and functions then moves on to important Rust concepts like move semantics, structs, and enums. Short introductions of the concepts are followed by exercises that are intentionally broken. Readers need to change the code or add code to fix each exercise. The workbook also provides hints and example solutions to help beginners get unstuck.

The Rust Programming Language Workbook

Tcl/Tk: A Developer's Guide, Fourth Edition is an essential resource for computer professionals, from systems administrators to programmers. It covers new Tcl features, expanded Tcl-OO coverage, web technology using Rivet and SQLite, and AI integration with AWS. The book also delves into Tcl's standard tools, multi-faceted nature, and extensibility, making it ideal for developing GUIs, client/server middleware, and web applications. Readers will quickly learn to code in Tcl and extend its capabilities with the inclusion of numerous code examples and case studies. The updated edition includes over 150 pages on the latest Tcl extensions, proven techniques, and tools for effective programming. Extensive code snippets and online tutorials enhance understanding, while case studies provide practical insights. The book also discusses Tcl's role as the hidden "secret sauce" in commercial applications, highlighting its graphics and control infrastructure. With a vibrant user community and evolving API, Tcl/Tk remains a powerful and versatile programming platform for both beginners and experienced programmers.

A Developer's Guide

Tcl/Tk

Numerical Linear Algebra with Applications: Using MATLAB and Octave, Second Edition provides practical knowledge on modern computational techniques for the numerical solution of linear algebra problems. The book offers a unified presentation of computation, basic algorithm analysis, and numerical methods to compute solutions. Useful to readers regardless of background, the text begins with six introductory courses to provide background for those who haven’t taken applied or theoretical linear algebra. This approach offers a thorough explanation of the issues and methods for practical computing using MATLAB as the vehicle for computation. Appropriate for advanced undergraduate and early graduate courses on numerical linear algebra, this useful textbook explores numerous applications to engineering and science.

Using MATLAB and Octave

Numerical Linear Algebra with Applications

"This is the second edition of the essential reference and guidebook for SuperCollider, a powerful, flexible, open-source, cross-platform audio programming language"--

A comprehensive update of the essential reference to SuperCollider, with new material on machine learning, musical notation and score making, SC Tweets, alternative editors, parasite languages, non-standard synthesis, and the cross-platform GUI library. SuperCollider is one of the most important domain-specific audio programming languages, with wide-ranging applications across installations, real-time interaction, electroacoustic pieces, generative music, and audiovisuals. Now in a comprehensively updated new edition, The SuperCollider Book remains the essential reference for beginners and advanced users alike, offering students and professionals a user-friendly guide to the language’s design, syntax, and use. Coverage encompasses the basics as well as explorations of advanced and cutting-edge topics including microsound, sonification, spatialization, non-standard synthesis, and machine learning. Second edition highlights: •&nbsp;&nbsp;&nbsp;New chapters on musical notation and score making, machine learning, SC Tweets, alternative editors, parasite languages, non-standard synthesis, SuperCollider on small computers, and the cross-platform GUI library •&nbsp;&nbsp;&nbsp;New tutorial on installing, setting up, and running the SuperCollider IDE •&nbsp;&nbsp;&nbsp;Technical documentation of implementation and information on writing your own unit generators •&nbsp;&nbsp;&nbsp;Diverse artist statements from international musicians •&nbsp;&nbsp;&nbsp;Accompanying code examples and extension libraries

The SuperCollider Book, second edition

Programming Language Pragmatics is the most comprehensive programming language textbook available today, with nearly 1000 pages of content in the book, plus hundreds more pages of reference materials and ancillaries online. Michael Scott takes theperspective that language design and language implementation are tightly interconnected, and that neither can be fully understood in isolation. In an approachable, readable style, he discusses more than 50 languages in the context of understanding how code isinterpreted or compiled, providing an organizational framework for learning new languages, regardless of platform. This edition has been thoroughly updated to cover the most recent developments in programming language design and provides both a solid understanding of the most important issues driving software development today

Programming Language Pragmatics

If you know how to program, you have the skills to turn data into knowledge. This thoroughly revised edition presents statistical concepts computationally, rather than mathematically, using programs written in Python. Through practical examples and exercises based on real-world datasets, you'll learn the entire process of exploratory data analysis--from wrangling data and generating statistics to identifying patterns and testing hypotheses. Whether you're a data scientist, software engineer, or data enthusiast, you'll get up to speed on commonly used tools including NumPy, SciPy, and Pandas. You'll explore distributions, relationships between variables, visualization, and many other concepts. And all chapters are available as Jupyter notebooks, so you can read the text, run the code, and work on exercises all in one place. <ul> <li>Analyze data distributions and visualize patterns using Python libraries</li> <li>Improve predictions and insights with regression models</li> <li>Dive into specialized topics like time series analysis and survival analysis</li> <li>Integrate statistical techniques and tools for validation, inference, and more</li> <li>Communicate findings with effective data visualization</li> <li>Troubleshoot common data analysis challenges</li> <li>Boost reproducibility and collaboration in data analysis projects with interactive notebooks</li> </ul>

Exploratory Data Analysis

Think STATS

Covering the three underlying technologies of Web pages: HTML, CSS, and JavaScript, this book is a one-stop guide to getting started in web development, be it in a class or as a solo-learner.

Covering the three underlying technologies of web pages—HTML, CSS, and JavaScript—this book is a one‑stop guide to getting started in web development, be it in a class or as a solo‑learner. Starting with no prerequisites beyond minimal exposure to programming, this book guides readers in an accessible fashion through modern page layout methods to building a complete site.This book develops an understanding of the structure of a page (how its parts fit together to convey its content to site users), how styles can make the content attractive and appealing, and how short programs and scripts can add everything from simple interactivity to complex calculations to your pages. With a wealth of in‑depth examples, review questions, exercises, and online sources and videos, readers are encouraged to excel in all of these areas, learning how to add animations, timing, designs that change in response to the characteristics of a display device, and more.Building knowledge from the ground up, this book appeals to those looking to learn web development from a range of backgrounds, be it academic, professional, or personal.

Developing Web Sites with HTML, CSS and JavaScript

"International Perspectives on Science, Culture and Society"

The book addresses new challenges to garbage collection made by recent advances in hardware and software. It explores the consequences of these changes for designers and implementers of high performance garbage collectors

The book addresses new challenges to garbage collection made by recent advances in hardware and software. It explores the consequences of these changes for designers and implementers of high performance garbage collectors

The Art of Automatic Memory Management

The Garbage Collection Handbook

This comprehensive compendium addresses a critical need in the AI and machine learning era by bridging foundational information theory (IT) concepts with practical applications in statistical learning. Unlike traditional IT textbooks, this volume emphasizes how IT principles, such as entropy and source coding, underpin modern machine learning techniques like cross-entropy, decision trees, and evidence-lower bounds.This unique book connects IT with probabilistic inference, illustrated through real-world applications, such as decoding LDPC codes for error correction. The inclusion of the Lea probabilistic programming package is particularly valuable for pedagogy, offering students a hands-on tool to solve numerical problems and reinforce theoretical concepts.The useful reference text benefits professionals, researchers, academics and students in the fields of calculus and probability, communications and information sciences.

Introduction To Information Theory And Probabilistic Inference, An

Annals of Mathematics Studies

A comprehensive new theory of adelic line bundles on quasi-projective varieties over finitely generated fields This book introduces a comprehensive theory of adelic line bundles on quasi-projective varieties over finitely generated fields, developed in both geometric and arithmetic contexts. In the geometric setting, adelic line bundles are defined as limits of line bundles on projective compactifications under the boundary topology. In the arithmetic setting, they are defined as limits of Hermitian line bundles on projective arithmetic compactifications, also under the boundary topology. After establishing these foundational definitions, the book uses the theory to explore key concepts such as intersection theory, effective sections, volumes, and positivity of adelic line bundles. It also applies these results to study height functions of algebraic points and prove an equidistribution theorem on quasi-projective varieties. This theory has broad applications in the study of numerical, dynamical, and Diophantine properties of moduli spaces, quasi-projective varieties, and varieties over finitely generated fields.

Adelic Line Bundles on Quasi-projective Varieties

Theoretical and Computational Chemistry

Quantum chemistry requires ever higher computational performance, with more and more sophisticated and dedicated Python scripts being required to solve challenging problems. Although resources for basic use of Python are widely (and often freely) available online and in literature, truly cohesive materials for advanced Python programming skills are lacking. Qiming Sun, a developer of the popular Python package PySCF, provides a comprehensive, end-to-end practical resource for researchers and engineers who have basic Python programming experiences chiefly in computational chemistry but want to take their use of the software forwards to the next level, the book provides an insightful exploration of Numpy, Pandas, and other data analysis tools. Readers will learn how to manage their Python computational projects in a professional way, with various tools and protocols for computational chemistry research and general scientific computing tasks exhibited and analysed from a technical perspective. Multiple programming paradigms including object-oriented, functional, meta-programming, dynamic, concurrent, and vector-oriented are illustrated in various technology scenarios allowing readers to properly use them to enhance their program projects. Readers will also learn how to use the presented optimization technologies to speed up their Python applications, even to the level as fast as a native C++ implementation. The applications of these technologies are then demonstrated using quantum chemistry Python applications. Python for Quantum Chemistry: A Full Stack Programming Guide is written primarily for graduate students, researchers and software engineers working primarily in the fields of theoretical chemistry, computational chemistry, condensed matter physics, material modelling, molecular simulations, and quantum computing.

A Full Stack Programming Guide

Python for Quantum Chemistry: Volume 23

Learn to leverage Python for advanced 3D data processing, visualization, and AI-enabled workflows. Define 3D virtual realms, immersive environments, and digital automation to analyze physical objects. With a focus on practicality, this book offers data scientists, engineers, and developers a hands-on approach to working with 3D data. From 3D reconstruction to 3D deep learning techniques, you'll learn how to extract valuable insights from massive datasets, including point clouds, voxels, 3D meshes, images, and more. Author Florent Poux helps you leverage the potential of cutting-edge algorithms and 3D AI models to develop production-ready systems with a focus on automation. You'll learn how to define 3D systems, leverage powerful algorithms, and deploy 3D digital experiences for your industry (geospatial applications, self-driving cars, medical imaging, robotics, manufacturing, computer vision/graphics, and more). This book dives deep into 3D data science with Python: building 3D workflows and wielding Python to implement your solutions. You'll learn: <ul> <li>Core concepts and representations of 3D data (meshes, point clouds, voxels, CAD) </li><li>How to load, manipulate, analyze, and visualize 3D data using powerful Python libraries </li><li>Advanced AI algorithms for 3D pattern recognition (supervised and unsupervised) </li><li>3D reconstruction techniques to generate 3D datasets </li><li>Automated 3D modeling and generative AI workflows </li><li>Practical applications of 3D data science in areas like computer vision/graphics, geospatial intelligence, scientific computing, robotics, and autonomous driving </li><li>How to build end-to-end 3D Python apps through real-world projects </li></ul> Florent Poux is an esteemed authority in the field of 3D data science who teaches and conducts research for top European universities. He's also head professor at the 3D Geodata Academy and innovation director for French Tech 120.

Building Accurate Digital Environments with 3D Point Cloud Workflows

3D Data Science with Python

Calculus for the Curious

Bibliografische Angaben

Inhaltsverzeichnis

Schlagworte

Bibliografische Angaben

Inhaltsverzeichnis

Schlagworte

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