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1.
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H 32
Harwani, B. M.,
Practical C programming : : solutions for modern C developers to create efficient and well-structured programs / / B.M. Harwani. - Birmingham, UK : : Packt Publishing,, 2020. - 1 online resource (1 volume) : : il. - Includes bibliographical references. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/B6F01C66-B87F-4B8D-B1D5-79615AE90899. - ISBN 9781838647988. - ISBN 1838647988
Description based on online resource; title from title page (Safari, viewed July 28, 2020).
Параллельные издания: Print version: : Harwani, B.M. Practical C Programming : Solutions for Modern C Developers to Create Efficient and Well-Structured Programs. - Birmingham : Packt Publishing, Limited, ©2020
~РУБ DDC 005.13/3
Рубрики: C (Computer program language)
Computer programming.
C (Computer program language)
Computer programming
Аннотация: Practical C Programming will teach you how to deal with C and its idiosyncrasies, and benefit from its new features, through bite-sized recipes. Each recipe in the book addresses a specific problem through a discussion that reveals and explains the solution to the recipe. This book will teach all you need to know to become a better C programmer.
H 32
Harwani, B. M.,
Practical C programming : : solutions for modern C developers to create efficient and well-structured programs / / B.M. Harwani. - Birmingham, UK : : Packt Publishing,, 2020. - 1 online resource (1 volume) : : il. - Includes bibliographical references. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/B6F01C66-B87F-4B8D-B1D5-79615AE90899. - ISBN 9781838647988. - ISBN 1838647988
Description based on online resource; title from title page (Safari, viewed July 28, 2020).
Параллельные издания: Print version: : Harwani, B.M. Practical C Programming : Solutions for Modern C Developers to Create Efficient and Well-Structured Programs. - Birmingham : Packt Publishing, Limited, ©2020
Рубрики: C (Computer program language)
Computer programming.
C (Computer program language)
Computer programming
Аннотация: Practical C Programming will teach you how to deal with C and its idiosyncrasies, and benefit from its new features, through bite-sized recipes. Each recipe in the book addresses a specific problem through a discussion that reveals and explains the solution to the recipe. This book will teach all you need to know to become a better C programmer.
2.
Подробнее
S 19
Samoylov, Nick.
LEARNING RXJAVA : : BUILD CONCURRENT APPLICATIONS USING REACTIVE PROGRAMMING WITH THE LATEST FEATURES OF RXJAVA 3. / Nick. Samoylov, Nield, Thomas. - [Place of publication not identified] : PACKT Publishing,, 2020. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/661D60E4-A0F2-4B24-BC56-320AD44EDAC4. - ISBN 1789952212 (electronic bk.). - ISBN 9781789952216 (electronic bk.)
Online resource; title from PDF title page (EBSCO, viewed June 18, 2020).
~РУБ DDC 005.133
Рубрики: Application software--Development.
Java (Computer program language)
Computer programming.
Доп.точки доступа:
Nield, Thomas.
S 19
Samoylov, Nick.
LEARNING RXJAVA : : BUILD CONCURRENT APPLICATIONS USING REACTIVE PROGRAMMING WITH THE LATEST FEATURES OF RXJAVA 3. / Nick. Samoylov, Nield, Thomas. - [Place of publication not identified] : PACKT Publishing,, 2020. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/661D60E4-A0F2-4B24-BC56-320AD44EDAC4. - ISBN 1789952212 (electronic bk.). - ISBN 9781789952216 (electronic bk.)
Online resource; title from PDF title page (EBSCO, viewed June 18, 2020).
Рубрики: Application software--Development.
Java (Computer program language)
Computer programming.
Доп.точки доступа:
Nield, Thomas.
3.
Подробнее
B 22
Bancila, Marius,.
Modern C++ programming cookbook : : master C++ core language and standard library features, with over 100 recipes, updated to C++20 / / Marius Bancila. - Second edition. - Birmingham : : Packt Publishing,, 2020. - 1 online resource. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/CC3B6C32-6007-40CB-990C-2FC6509725F6. - ISBN 1800206208. - ISBN 9781800206205 (electronic bk.)
Previous edition: 2017. Table of ContentsLearning Modern Core Language FeaturesWorking with Numbers and StringsExploring FunctionsPreprocessing and CompilationStandard Library Containers, Algorithms, and IteratorsGeneral-Purpose UtilitiesWorking with Files and StreamsLeveraging Threading and ConcurrencyRobustness and PerformanceImplementing Patterns and IdiomsExploring Testing FrameworksC++20 Core Features. Description based on CIP data; resource not viewed.
Параллельные издания: Print version : :
~РУБ DDC 005.133
Рубрики: C++ (Computer program language)
Computer programming.
C++ (Computer program language)
B 22
Bancila, Marius,.
Modern C++ programming cookbook : : master C++ core language and standard library features, with over 100 recipes, updated to C++20 / / Marius Bancila. - Second edition. - Birmingham : : Packt Publishing,, 2020. - 1 online resource. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/CC3B6C32-6007-40CB-990C-2FC6509725F6. - ISBN 1800206208. - ISBN 9781800206205 (electronic bk.)
Previous edition: 2017. Table of ContentsLearning Modern Core Language FeaturesWorking with Numbers and StringsExploring FunctionsPreprocessing and CompilationStandard Library Containers, Algorithms, and IteratorsGeneral-Purpose UtilitiesWorking with Files and StreamsLeveraging Threading and ConcurrencyRobustness and PerformanceImplementing Patterns and IdiomsExploring Testing FrameworksC++20 Core Features. Description based on CIP data; resource not viewed.
Параллельные издания: Print version : :
Рубрики: C++ (Computer program language)
Computer programming.
C++ (Computer program language)
4.
Подробнее
S 95
Sutor, Robert S.
Dancing with Python : : Learn Python Software Development from Scratch and Get Started with Quantum Computing. / Robert S. Sutor. - Birmingham : : Packt Publishing, Limited,, 2021. - 1 online resource (745 p.). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/6B4FCB22-C9AF-4A0B-AD94-CF514B89927D. - ISBN 9781801071628 (electronic book). - ISBN 1801071624 (electronic book)
Параллельные издания: Print version: : Sutor, Robert S. Dancing with Python. - Birmingham : Packt Publishing, Limited,c2021
~РУБ DDC 005.13/3
Рубрики: Python (Computer program language)
Computer programming.
Quantum computing.
Python (Langage de programmation)
Programmation (Informatique)
Informatique quantique.
computer programming.
Computer programming.
Python (Computer program language)
Quantum computing.
Аннотация: Millions of software developers use Python, and it is a powerful foundation for classical and quantum computing. Dancing with Python teaches you how to create elegant and efficient code using Pythonic techniques. Its integrated introduction to quantum computing development helps you extend your skills to the next major computing technology.
S 95
Sutor, Robert S.
Dancing with Python : : Learn Python Software Development from Scratch and Get Started with Quantum Computing. / Robert S. Sutor. - Birmingham : : Packt Publishing, Limited,, 2021. - 1 online resource (745 p.). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/6B4FCB22-C9AF-4A0B-AD94-CF514B89927D. - ISBN 9781801071628 (electronic book). - ISBN 1801071624 (electronic book)
Параллельные издания: Print version: : Sutor, Robert S. Dancing with Python. - Birmingham : Packt Publishing, Limited,c2021
Рубрики: Python (Computer program language)
Computer programming.
Quantum computing.
Python (Langage de programmation)
Programmation (Informatique)
Informatique quantique.
computer programming.
Computer programming.
Python (Computer program language)
Quantum computing.
Аннотация: Millions of software developers use Python, and it is a powerful foundation for classical and quantum computing. Dancing with Python teaches you how to create elegant and efficient code using Pythonic techniques. Its integrated introduction to quantum computing development helps you extend your skills to the next major computing technology.
5.
Подробнее
T 30
Technology road mapping for quantum computing and engineering / / Brojo Mishra, editor. - Hershey PA : : Engineering Science Reference,, [2022]. - 1 online resource. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/4BA681EC-07AD-4E9F-93A6-DB7D181D23AD. - ISBN 9781799891857 (ebook). - ISBN 1799891852 (ebook). - ISBN 9781799891864 (electronic bk.). - ISBN 1799891860 (electronic bk.)
Description based on print version record and CIP data provided by publisher; resource not viewed.
Параллельные издания: Print version: : Technology road mapping for quantum computing and engineering. - Hershey PA : Engineering Science Reference, [2022]. - ISBN 9781799891833
Содержание:
An introductory study to quantum programming / Ankur Biswas, Amartya Chakraborty, Stobak Dutta, Anirban Mitra, Brojo Mishra -- Quantum software engineering and technology / Subramaniam Meenakshi Sundaram, Tejaswini Murgod -- Introduction and beginners guide to quantum computing : introduction to quantum computing / Poornima Nedunchezhian, Rajkumar Rajasekaran -- Tunable attenuator based on hybrid metal-graphene structure on SSPP Waveguide / Aymen Hlali -- A review on applications of quantum computing in machine learning / Subrata Paul, Anirban Mitra -- A taxonomy of quantum computing algorithms : advancements and anticipations / Lopamudra Hota, Prasant Dash -- Tunable attenuator based on hybrid metal-graphene structure on spoof surface plasmon polaritons waveguide / Aymen Hlali, Hassen Zairi -- Tunable attenuator based on metal and graphene structure on SSPP Waveguide / Aymen Hlali -- Recent developments in quantum computing and its challenges / R nagarajan, Kannadhasan S, Kanagaraj Venusamy -- Simulation of bloch sphere for a single qubit / Harsha Garine, Atul Mishra, Anubhav Agarwal.
~РУБ DDC 006.3/843
Рубрики: Quantum computing.
Quantum computers.
Computer engineering.
Computer programming.
Informatique quantique.
Ordinateurs quantiques.
Ordinateurs--Conception et construction.
Programmation (Informatique)
computer programming.
Computer engineering.
Computer programming.
Quantum computers.
Quantum computing.
Аннотация: "The aim of the book is to publish in all the aspects of quantum computing concepts, engineering, technologies, operations, and applications from basics to future advances"--
Доп.точки доступа:
Mishra, Brojo Kishore, (1979-) \editor.\
T 30
Technology road mapping for quantum computing and engineering / / Brojo Mishra, editor. - Hershey PA : : Engineering Science Reference,, [2022]. - 1 online resource. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/4BA681EC-07AD-4E9F-93A6-DB7D181D23AD. - ISBN 9781799891857 (ebook). - ISBN 1799891852 (ebook). - ISBN 9781799891864 (electronic bk.). - ISBN 1799891860 (electronic bk.)
Description based on print version record and CIP data provided by publisher; resource not viewed.
Параллельные издания: Print version: : Technology road mapping for quantum computing and engineering. - Hershey PA : Engineering Science Reference, [2022]. - ISBN 9781799891833
Содержание:
An introductory study to quantum programming / Ankur Biswas, Amartya Chakraborty, Stobak Dutta, Anirban Mitra, Brojo Mishra -- Quantum software engineering and technology / Subramaniam Meenakshi Sundaram, Tejaswini Murgod -- Introduction and beginners guide to quantum computing : introduction to quantum computing / Poornima Nedunchezhian, Rajkumar Rajasekaran -- Tunable attenuator based on hybrid metal-graphene structure on SSPP Waveguide / Aymen Hlali -- A review on applications of quantum computing in machine learning / Subrata Paul, Anirban Mitra -- A taxonomy of quantum computing algorithms : advancements and anticipations / Lopamudra Hota, Prasant Dash -- Tunable attenuator based on hybrid metal-graphene structure on spoof surface plasmon polaritons waveguide / Aymen Hlali, Hassen Zairi -- Tunable attenuator based on metal and graphene structure on SSPP Waveguide / Aymen Hlali -- Recent developments in quantum computing and its challenges / R nagarajan, Kannadhasan S, Kanagaraj Venusamy -- Simulation of bloch sphere for a single qubit / Harsha Garine, Atul Mishra, Anubhav Agarwal.
Рубрики: Quantum computing.
Quantum computers.
Computer engineering.
Computer programming.
Informatique quantique.
Ordinateurs quantiques.
Ordinateurs--Conception et construction.
Programmation (Informatique)
computer programming.
Computer engineering.
Computer programming.
Quantum computers.
Quantum computing.
Аннотация: "The aim of the book is to publish in all the aspects of quantum computing concepts, engineering, technologies, operations, and applications from basics to future advances"--
Доп.точки доступа:
Mishra, Brojo Kishore, (1979-) \editor.\
6.
Подробнее
C 58
Ciaburro, Giuseppe,.
Hands-on simulation modeling with Python : : develop simulation models to get accurate results and enhance decision-making processes / / Giuseppe Ciaburro. - Birmingham, UK : : Packt Publishing,, 2020. - 1 online resource (1 volume) : : il. - Includes bibliographical references. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/EF0EEAAC-C1B3-483A-AE91-36DC145FF173. - ISBN 9781838988654. - ISBN 1838988653
Description based on online resource; title from cover (Safari, viewed October 27, 2020).
Параллельные издания: Print version: : Ciaburro, Giuseppe Hands-On Simulation Modeling with Python : Develop Simulation Models to Get Accurate Results and Enhance Decision-Making Processes. - Birmingham : Packt Publishing, Limited,c2020
Содержание:
Cover -- Title Page -- Copyright and Credits -- About Packt -- Contributors -- Table of Contents -- Preface -- Section 1: Getting Started with Numerical Simulation -- Chapter 1: Introducing Simulation Models -- Introducing simulation models -- Decision-making workflow -- Comparing modeling and simulation -- Pros and cons of simulation modeling -- Simulation modeling terminology -- Classifying simulation models -- Comparing static and dynamic models -- Comparing deterministic and stochastic models -- Comparing continuous and discrete models -- Approaching a simulation-based problem
Problem analysis -- Data collection -- Setting up the simulation model -- Simulation software selection -- Verification of the software solution -- Validation of the simulation model -- Simulation and analysis of results -- Dynamical systems modeling -- Managing workshop machinery -- Simple harmonic oscillator -- Predator-prey model -- Summary -- Chapter 2: Understanding Randomness and Random Numbers -- Technical requirements -- Stochastic processes -- Types of stochastic process -- Examples of stochastic processes -- The Bernoulli process -- Random walk -- The Poisson process
Random number simulation -- Probability distribution -- Properties of random numbers -- The pseudorandom number generator -- The pros and cons of a random number generator -- Random number generation algorithms -- Linear congruential generator -- Random numbers with uniform distribution -- Lagged Fibonacci generator -- Testing uniform distribution -- The chi-squared test -- Uniformity test -- Exploring generic methods for random distributions -- The inverse transform sampling method -- The acceptance-rejection method -- Random number generation using Python -- Introducing the random module
The random.random() function -- The random.seed() function -- The random.uniform() function -- The random.randint() function -- The random.choice() function -- The random.sample() function -- Generating real-valued distributions -- Summary -- Chapter 3: Probability and Data Generation Processes -- Technical requirements -- Explaining probability concepts -- Types of events -- Calculating probability -- Probability definition with an example -- Understanding Bayes' theorem -- Compound probability -- Bayes' theorem -- Exploring probability distributions -- Probability density function
Mean and variance -- Uniform distribution -- Binomial distribution -- Normal distribution -- Summary -- Section 2: Simulation Modeling Algorithms and Techniques -- Chapter 4: Exploring Monte Carlo Simulations -- Technical requirements -- Introducing Monte Carlo simulation -- Monte Carlo components -- First Monte Carlo application -- Monte Carlo applications -- Applying the Monte Carlo method for Pi estimation -- Understanding the central limit theorem -- Law of large numbers -- Central limit theorem -- Applying Monte Carlo simulation -- Generating probability distributions
~РУБ DDC 003.3
Рубрики: Python (Computer program language)
Computer simulation.
Simulation methods.
Decision making--Data processing.
Computer programming.
Computer simulation.
Python (Computer program language)
Аннотация: Developers working with the simulation models will be able to put their knowledge to work with this practical guide. You will work with real-world data to uncover various patterns used in complex systems using Python. The book provides a hands-on approach to implementation and associated methodologies to improve or optimize systems.
C 58
Ciaburro, Giuseppe,.
Hands-on simulation modeling with Python : : develop simulation models to get accurate results and enhance decision-making processes / / Giuseppe Ciaburro. - Birmingham, UK : : Packt Publishing,, 2020. - 1 online resource (1 volume) : : il. - Includes bibliographical references. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/EF0EEAAC-C1B3-483A-AE91-36DC145FF173. - ISBN 9781838988654. - ISBN 1838988653
Description based on online resource; title from cover (Safari, viewed October 27, 2020).
Параллельные издания: Print version: : Ciaburro, Giuseppe Hands-On Simulation Modeling with Python : Develop Simulation Models to Get Accurate Results and Enhance Decision-Making Processes. - Birmingham : Packt Publishing, Limited,c2020
Содержание:
Cover -- Title Page -- Copyright and Credits -- About Packt -- Contributors -- Table of Contents -- Preface -- Section 1: Getting Started with Numerical Simulation -- Chapter 1: Introducing Simulation Models -- Introducing simulation models -- Decision-making workflow -- Comparing modeling and simulation -- Pros and cons of simulation modeling -- Simulation modeling terminology -- Classifying simulation models -- Comparing static and dynamic models -- Comparing deterministic and stochastic models -- Comparing continuous and discrete models -- Approaching a simulation-based problem
Problem analysis -- Data collection -- Setting up the simulation model -- Simulation software selection -- Verification of the software solution -- Validation of the simulation model -- Simulation and analysis of results -- Dynamical systems modeling -- Managing workshop machinery -- Simple harmonic oscillator -- Predator-prey model -- Summary -- Chapter 2: Understanding Randomness and Random Numbers -- Technical requirements -- Stochastic processes -- Types of stochastic process -- Examples of stochastic processes -- The Bernoulli process -- Random walk -- The Poisson process
Random number simulation -- Probability distribution -- Properties of random numbers -- The pseudorandom number generator -- The pros and cons of a random number generator -- Random number generation algorithms -- Linear congruential generator -- Random numbers with uniform distribution -- Lagged Fibonacci generator -- Testing uniform distribution -- The chi-squared test -- Uniformity test -- Exploring generic methods for random distributions -- The inverse transform sampling method -- The acceptance-rejection method -- Random number generation using Python -- Introducing the random module
The random.random() function -- The random.seed() function -- The random.uniform() function -- The random.randint() function -- The random.choice() function -- The random.sample() function -- Generating real-valued distributions -- Summary -- Chapter 3: Probability and Data Generation Processes -- Technical requirements -- Explaining probability concepts -- Types of events -- Calculating probability -- Probability definition with an example -- Understanding Bayes' theorem -- Compound probability -- Bayes' theorem -- Exploring probability distributions -- Probability density function
Mean and variance -- Uniform distribution -- Binomial distribution -- Normal distribution -- Summary -- Section 2: Simulation Modeling Algorithms and Techniques -- Chapter 4: Exploring Monte Carlo Simulations -- Technical requirements -- Introducing Monte Carlo simulation -- Monte Carlo components -- First Monte Carlo application -- Monte Carlo applications -- Applying the Monte Carlo method for Pi estimation -- Understanding the central limit theorem -- Law of large numbers -- Central limit theorem -- Applying Monte Carlo simulation -- Generating probability distributions
Рубрики: Python (Computer program language)
Computer simulation.
Simulation methods.
Decision making--Data processing.
Computer programming.
Computer simulation.
Python (Computer program language)
Аннотация: Developers working with the simulation models will be able to put their knowledge to work with this practical guide. You will work with real-world data to uncover various patterns used in complex systems using Python. The book provides a hands-on approach to implementation and associated methodologies to improve or optimize systems.
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