Computer programming.
概要
| 作品: | 354 作品在 216 項出版品 216 種語言 | |
|---|---|---|
書目資訊
Introduction to scientific programming : = computational problem solving using Mathematica and C /
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Programming primer : = a graphic introduction to computer programming, with BASIC and Pascal /
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The computational beauty of nature : = computer explorations of fractals, chaos, complex systems, and adaptation /
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Introduction to scientific programming : = computational problem solving using Maple and C /
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The essence of computation : = complexity, analysis, transformation : essays dedicated to Neil D. Jones /
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Programming multi-agent systems = 5th international workshop, PROMAS 2007 Honolulu, HI, USA, May 14-18, 2007 revised and invited papers /
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Concurrency, Graphs and Models = Essays Dedicated to Ugo Montanari on the Occasion of His 65th Birthday /
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Programming for computations - Python = a gentle introduction to numerical simulations with Python /
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Inductive synthesis of functional programs = universal planning, folding of finite programs, and schema abstraction by analogical reasoning /
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Optimal interprocedural program optimization = a new framework and its application /
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The essence of computation = complexity, analysis, transformation : essays dedicated to Neil D. Jones /
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Logic and program semantics = essays dedicated to Dexter Kozen on the occasion of his 60th birthday /
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Introduction to numerical programming : = a practical guide for scientists and engineers using Python and C/C++ /
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Formal languages, automata and numeration systems.. 1,. Introduction to combinatorics on words
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Formal languages, automata and numeration systems.. 2,. Applications to recognizability and decidability
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A list of successes that can change the world = essays dedicated to Philip Wadler on the occasion of his 60th birthday /
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High performance parallelism pearls = multicore and many-core programming approaches /
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Software developers as users = semiotic investigations in human-centered software development /
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An introduction to SAGE programming : = with applications to SAGE interacts for mathematics /
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Raspberry Pi supercomputing and scientific programming = MPI4PY, NumPy, and SciPy for enthusiasts /
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The mathematical-function computation handbook = programming using the MathCW portable software library /
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Software development, design and coding = with patterns, debugging, unit testing, and refactoring /
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Guide to competitive programming = learning and improving algorithms through contests /
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Exploring the .NET Core 3.0 runtime = through code generation and metadata inspection /
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Foundation dynamic web pages with Python = create dynamic web pages with Django and Flask /
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Practical glimpse = learn to edit and create digital photos and art with this powerful open source image editor /
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Creating game environments in Blender 3D = learn to create low poly game environments /
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Modern web performance optimization = methods, tools, and patterns to speed up digital platforms /
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Introduction to Python for engineers and scientists = open source solutions for numerical computation /
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Functional and logic programming = 14th International Symposium, FLOPS 2018, Nagoya, Japan, May 9-11, 2018 : proceedings /
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Raspbian OS programming with the Raspberry Pi = IoT projects with Wolfram, Mathematica, and Scratch /
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Programming for computations = Python : a gentle introduction to numerical simulations with Python 3.6 /
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Quick start guide to Dart programming = create high-performance applications for the Web and mobile /
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Ensemble learning for AI developers = learn bagging, stacking, and boosting methods with use cases /
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Modern C++ for absolute beginners = a friendly introduction to C++ programming language and C++11 to C++20 standards /
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Red Hat and IT security = with Red Hat Ansible, Red Hat OpenShift, and Red Hat security auditing /
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Practical machine learning with AWS = process, build, deploy, and productionize your models using AWS /
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Beginning Unreal Engine 4 Blueprints visual scripting = using C++ : from beginner to pro /
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Hyperparameter optimization in machine learning = make your machine learning and deep learning models more efficient /
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Practical natural language processing with Python = with case studies from industries using text data at scale /
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AR and VR using the WebXR API = learn to create immersive content with WebGL, Three.js, and A-Frame /
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Migrating a Two-Tier Application to Azure = a hands-on walkthrough of azure infrastructure, platform, and container services /
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Delivering applications with VMware App. = delivering application layers to virtual desktops using VMware /. Volumes 4
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Deploy machine learning models to production = with Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform /
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Red Hat Certified Engineer (RHCE) study guide = Ansible automation for the Red Hat Enterprise Linux 8 Exam (EX294) /
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Quantum machine learning with Python = using Cirq from Google Research and IBM Qiskit /
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Novel techniques in recovering, embedding, and enforcing policies for control-flow integrity
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Learn to program with Kotlin = from the basics to projects with text and image processing /
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Introduction to computational thinking = problem solving, algorithms, data structures, and more /
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Learn Windows subsystem for Linux = a practical guide for developers and IT professionals /
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Jumpstart UIKit = learn to build enterprise-level, feature-rich websites that work elegantly with minimum fuss /
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Spring quick reference guide = a pocket handbook for Spring framework, Spring boot, and more /
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Beginning Quarkus framework = build cloud-native enterprise Java applications and microservices /
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Understanding Oracle APEX 20 application development = think like an application express developer /
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Practical JAMstack = blazing fast, simple, and secure web development, the modern way /
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Using Gatsby and Netlify CMS = build blazing fast JAMstack apps using Gatsby and Netlify CMS /
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C# programming for absolute beginners = earn to think like a programmer and start writing code /
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Guide to competitive programming = learning and improving algorithms through contests /
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Modern C++ for absolute beginners = a friendly introduction to the C++ programming language and C++11 to C++23 standards /
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Practical Angular Signals = levelling up your web development skills with signals, patterns and architectures /
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Vibe coding with GitHub Copilot = enhancing productivity by leveraging GitHub Copilot inside Visual Studio /
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Gamemaker programming challenges = programming challenges to improve your GML knowledge /
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Animated problem solving = an introduction to program design using video game development /
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Pro Go = the complete guide to programming reliable and efficient software using Golang /
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Data-driven Alexa skills = voice access to rich data sources for enterprise applications /
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Language server protocol and implementation = supporting language-smart editing and programming tools /
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Introducing Blockchain with Java = program, implement, and extend Blockchains with Java /
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Introducing Microsoft Orleans = implementing cloud-native services with a virtual actor framework /
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Programming 101 = learn to code with the Processing language using a visual approach /
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Modern C up and running = a programmer's guide to finding fluency and bypassing the quirks /
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Computer science to the point = computer science for life sciences students and other non-computer scientists /
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Hands-on data analysis and visualization with pandas = engineer, analyse and visualize data, using powerful Python libraries /
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Test your skills in Python = an interactive way to introduce the world of computer programming /
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Programming techniques using Python = have fun and play with basic and advanced core Python /
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RISC-V Assembly language programming = unlock the power of the risc-v instruction set /
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MicroPython for the Internet of Things = a beginner's guide to programming with Python on microcontrollers /
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The art of immutable architecture = theory and practice of data management in distributed systems /
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Software development, design, and coding = with patterns, debugging, unit testing, and refactoring /
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Theories of programming and formal methods = essays dedicated to Jifeng He on the occasion of his 80th birthday /
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Numerical Python = scientific computing and data science applications with Numpy, SciPy and Matplotlib /
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Advanced interdisciplinary applications of machine learning Python libraries for data science
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Guide to competitive programming = learning and improving algorithms through contests /
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Nonsequential and distributed programming with Go = synchronization of concurrent processes /
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