Computer programming.
Overview
Works: | 71 works in 58 publications in 58 languages |
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Titles
Your wish is my command[electronic resource] :programming by example /
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Logic and program semantics[electronic resource] :essays dedicated to Dexter Kozen on the occasion of his 60th birthday /
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MATLAB[electronic resource] :a practical introduction to programming and problem solving /
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Adaptive control approach for software quality improvement[electronic resource] /
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Cluster computing for robotics and computer vision[electronic resource] /
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Coding interviews[electronic resource] :questions, analysis & solutions /
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Algorithms and programming[electronic resource] :problems and solutions /
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MATLAB[electronic resource] :a practical introduction to programming and problem solving /
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Scientific programming[electronic resource] :C-language, algorithms and models in science /
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Learn Unity 3D programming with UnityScript[electronic resource] :Unity's JavaScript for beginners /
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Computer technology and computer programming[electronic resource] :new research and strategies /
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Hardware for soft computing and soft computing for hardware[electronic resource] /
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Formal languages, automata and numeration systems.[electronic resource] /1,Introduction to combinatorics on words
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Formal languages, automata and numeration systems.[electronic resource] /2,Applications to recognizability and decidability
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Agent environments for multi-agent systems IV[electronic resource] :4th International Workshop, E4MAS 2014 - 10 Years Later, Paris, France, May 6, 2014 : revised selected and invited papers /
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Programming languages with applications to biology and security[electronic resource] :essays dedicated to Pierpaolo Degano on the occasion of His 65th Birthday /
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Globalizing domain-specific languages[electronic resource] :International Dagstuhl Seminar, Dagstuhl Castle, Germany, October 5-10, 2014 : revised papers /
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Engineering multi-agent systems[electronic resource] :third International Workshop, EMAS 2015, Istanbul, Turkey, May 5, 2015, Revised, Selected, and Invited Papers /
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Numerical Python[electronic resource] :a practical techniques approach for industry /
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Logic for programming, artificial intelligence, and reasoning[electronic resource] :20th International Conference, LPAR-20 2015, Suva, Fiji, November 24-28, 2015 : proceedings /
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Limits of computation[electronic resource] :from a programming perspective /
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A list of successes that can change the world[electronic resource] :essays dedicated to Philip Wadler on the occasion of his 60th birthday /
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Dynamic SQL[electronic resource] :applications, performance, and security /
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Program arcade games[electronic resource] :with Python and Pygame /
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High performance parallelism pearls[electronic resource] :multicore and many-core programming approaches /
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Automated software and service composition[electronic resource] :a survey and evaluating review /
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Programming for computations - Python[electronic resource] :a gentle introduction to numerical simulations with Python /
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Beginning SQL Queries[electronic resource] :From Novice to Professional /
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Lumen programming guide[electronic resource] :writing PHP microservices, REST and web service APIs /
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Software developers as users[electronic resource] :semiotic investigations in human-centered software development /
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Formal methods and software engineering[electronic resource] :18th International Conference on Formal Engineering Methods, ICFEM 2016, Tokyo, Japan, November 14-18, 2016 : proceedings /
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Data structure practice :for collegiate programming contest and education /
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Computational thinking :a beginner's guide to problem-solving and programming /
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Salesforce.com lightning process builder and visual workflow[electronic resource] :a practical guide to model-driven development on the Force.com platform /
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Erlang and Elixir for imperative programmers[electronic resource] /
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MATLAB :a practical introduction to programming and problem solving /
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Introduction to modeling and simulation with MATLAB and Python[electronic resource] /
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Machine learning with Python[electronic resource] :an approach to applied machine learning /
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Hands-on data analysis and visualization with pandas[electronic resource] :engineer, analyse and visualize data, using powerful Python libraries /
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Practical data science with Jupyter[electronic resource] :explore data cleaning, pre-processing, data wrangling, feature engineering and machine learning using Python and Jupyter /
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Advance core Python programming[electronic resource] :begin your journey to master the world of Python /
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A journey to core Python[electronic resource] :experience the applications of tuples, dictionary, lists, operators, loops, indexing, slicing, and matrices /
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Test your skills in Python[electronic resource] :an interactive way to introduce the world of computer programming /
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Programming techniques using Python[electronic resource] :have fun and play with basic and advanced core Python /
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Full stack development with MongoDB[electronic resource] :covers backend, frontend, APIs, and mobile App development using PHP, NodeJS, ExpressJS, Python and react native /
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Subjects