Foundational Java: Key Elements and Practical Programming, Parsons David
Автор: Harwani B. M. Название: Practical C Programming ISBN: 1838641106 ISBN-13(EAN): 9781838641108 Издательство: Неизвестно Рейтинг: Цена: 7171.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Are you looking for a crash course that will help you learn Python? Do you want to master data science using Python? If yes, then keep reading
Python is one of the most popular programming languages in the word in 2020 and specially for data science. Every day people use it to do cool things like Automation, they use it in Artificial Intelligence, Machine Learning, as well as Building Applications and Websites like Instagram and Dropbox. YouTube, Pinterest, and SurveyMonkey are all built on Python. So if you are looking for a trendy job, like data scientist, Python is for you.
This is a Python guide with 2 Books in 1:
Python crash course
Python for data analysis
Python has seen an explosion in popularity in recent years, driven by several aspects that make it an incredibly versatile and intuitive language.
Moreover, data analysis plays a significant job in numerous parts of your regular day to day existence today. Organizations use information to Understand Their Customer Needs and produce the Best Possible Product or Service. Python Programming Language is one of the best framework with regards to information examination.
Data Scientist is the most requested job of the 21st century and Python is the most popular programming language of the 21st century. So it's pretty obvious that anyone have skills in both Data Science and Python will be in great demand in industry.
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This guide covers:
The world of data science technologies
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Data scientist: the sexiest job in the 21st century
Learning Python from scratch
Data analysis with Python
NumPy for numerical data processing
Data visualization with Python
Projects on Python
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Despite its simplicity, Python is also sturdy and robust enough to carry out complex scientific and mathematical tasks. Python has been designed with features that drastically simplify the visualization and analysis of data, and Python is also the go-to choice for the creation of machine learning models and artificial intelligence.
Be it machine learning, data analytics, data processing, web development, enterprise software development or taking the photo of Blackhole: Python is everywhere. Beloved by the data scientists and new generation developers, Pyhton will eat the word
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Do you want to learn Python Programming well and fast?Are you looking for the best Python for Data Analysis and Analytics course?Do want to learn Python Machine Learning and start implementing models?
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In Manuscripts 1 and 2 "Python For Beginners" and "Advanced Python Programming" you'll learn:
How to work with numbers in Python
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What Data Analysis is and why it is important
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What is Data Science and what does it encompass
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Описание: Updated for Python 3, this expanded edition shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By exploring the fundamental theory behind design choices, High Performance Python helps you gain a deeper understanding of Python`s implementation.
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Автор: Mernik Marjan Название: Formal and Practical Aspects of Domain-Specific Languages ISBN: 1466620927 ISBN-13(EAN): 9781466620926 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 28413.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Formal and Practical Aspects of Domain-Specific Languages: Recent Developments is a collection of academic works containing current research on all aspects of domain-specific language. This book is a comprehensive overview in the computer language field and aims to be essential for scholars and practitioners in the software engineering fields by providing new results and answers to open problems in DSL research.
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Structured Query Language or SQL primarily deals with databases crucial for developers, analysts, and administrators essential for providing skills on how to create room to store data in an organized manner.
Learning SQL can sometimes become challenging, especially when you fail to commit adequate time as well as taking inappropriate approaches. However, learning SQL programming will significantly promote careers in SQL, as it is one of the most demanded skills globally today.
You should understand that learning about SQL programming without practical is usually a failing course.
The initial language name was referred to as SEQUEL, Structured English Query Language, and incorporated to help in information retrieval.
The name was later changed to SQL and first used commercially in 1979 and the subsequent years. Over the years, its development continued leading to the introduction of more advanced SQL commands. By 1990, there existed new versions with standard Database Language SQL with the recent version released in 2016. However, various developments and advanced have witnessed over time, making SQL programming flexible and more reliable, especially in storage and quick retrieval of information when the need arises.
What is sql?
Sql server and database data types
Creating your first database and table
Creating your first database and table using command line
Sql views and transactions
A look at queries
Sql tools and strategies
Exercises, projects and applications
Common rookie mistakes
Tables
The database
Tips and tricks of sql
Database components
Working with subqueries
... AND MORE
Structured Query Language or SQL is a standard programming tool commonly preferred by developers, analysts and administrators to design, create, and supervise rational databases.
These databases comprise different sets of tables which entail rows or columns filled with data. On each column, the database or table is filled with information of a given set of identical data such as name, address, cost, or other values. On the other hand, rows usually contain data values that intersect the information of each column.
Generally, databases are mostly full of tables containing data sets crucial for a given organization, including the storage of data for quick retrieval.
Since it is among computer programming languages, SQL is a universal coding programming tool commonly considered a doorway to learn other programming languages such as Python. It was first introduced in the 1970s, and learners do not necessarily require prior knowledge in programming to venture into learning SQL programming.
When you are ready to learn about SQL, it is always advisable to understand the basics by beginning with simple queries before jumping into complex processes.
Read and learn from different sources, including tutorials, while making progress each day. Besides, engage in creating and designing different databases to advance in trickier programming practices.
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Автор: Parsons David Название: Foundational Java: Key Elements and Practical Programming ISBN: 3030545172 ISBN-13(EAN): 9783030545178 Издательство: Springer Рейтинг: Цена: 7965.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Java is now well-established as one of the world's major programming languages, used in everything from desktop applications to web-hosted applications and enterprise systems, and embedded in devices such as mobile phones and Blu-ray players.
Foundational Java: Key Elements and Practical Programming presents a detailed guide to the core features of Java - and some more recent innovations - enabling the reader to build their skills and confidence though tried-and-trusted stages, supported by exercises that reinforce the key learning points. All of the most useful and commonly applied Java syntax and libraries are introduced, along with many example programs that can provide the basis for more substantial applications. Use of the Eclipse Integrated Development Environment (IDE) and the JUnit testing framework is integral to the book, ensuring maximum productivity and code quality when learning Java, although to ensure that skills are not confined to one environment the fundamentals of the Java compiler and run time are also explained. Additionally, coverage of the Ant tool will equip the reader with the skills to automatically build, test and deploy applications independent of an IDE.
Topics and features: presents the most up-to-date information on Java, including Java 7; examines the key theme of unit testing, introducing the JUnit 4 testing framework to emphasize the importance of unit testing in modern software development; describes the Eclipse IDE, the most popular open source Java IDE, and also explains how Java can be run from the command line; includes coverage of the Ant build tool; contains numerous code examples and exercises throughout; provides downloadable source code, self-test questions, PowerPoint slides and other supplementary material at the website http: //www.introjava.com.
This hands-on, classroom-tested textbook/reference is ideal for undergraduate students on introductory and intermediate courses on programming with Java. Professional software developers will also find this an excellent self-study guide/refresher on the topic.
Автор: Ugo Dal Lago; Ricardo Pe?a Название: Foundational and Practical Aspects of Resource Analysis ISBN: 331912465X ISBN-13(EAN): 9783319124650 Издательство: Springer Рейтинг: Цена: 5590.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the Third International Workshop on Foundational and Practical Aspects of Resource Analysis, FOPARA 2013, held in Bertinoro, Italy, in August 2013. They deal with traditional approaches to complexity analysis, differential privacy, and probabilistic analysis of programs.
Описание: Statistical Model Checking: Past, Present and Future.- Hypothesis testing for rare-event simulation: limitations and possibilities.- Survey of Statistical Verification of Linear Unbounded Properties: Model Checking and Distances.- Feedback Control for Statistical Model Checking of Cyber-Physical Systems.- Probabilistic Model Checking of Incomplete Models.- Plasma Lab: A Modular Statistical Model Checking Platform.- Synthesizing Energy-Optimal Controllers for Multiprocessor Dataflow Applications with UPPAAL STRATEGO.- Statistical Model Checking for Product Lines.- Towards Adaptive Scheduling of Maintenance for Cyber-Physical Systems.- Better railway engineering through statistical model checking.- On Creation and Analysis of Reliability Models by Means of Stochastic Timed Automata and Statistical Model Checking: Principle.- Automatic Synthesis of Code using Genetic Programming.- Evaluation and Reproducibility of Program Analysis and Verification (Track Introduction).- Symbolic Execution with CEGAR.- Multi-Core Model Checking of Large-Scale Reactive Systems Using Different State Representations.- Sparse Analysis of Variable Path Predicates Based Upon SSA-Form.- A Model Interpreter for Timed Automata.- ModSyn-PP: Modular Synthesis of Programs and Processes: Track Introduction.- Combinatory Process Synthesis.- Synthesis from a Practical Perspective.- A Long and Winding Road Towards Modular Synthesis.- Semantic heterogeneity in the formal development of complex systems: an introduction.- On the Use of Domain and System Knowledge Modeling in Goal-Based Event-B Specifications.- Strengthening MDE and Formal Design Models by references to Domain Ontologies. A Model Annotation Based Approach.- Towards Functional Requirements Analytics.- Heterogeneous Semantics and Unifying Theories.- Static and Runtime Verification: Competitors or Friends?.- StaRVOOrS - Episode II, Strengthen and Distribute the Force.- A Model-Based Approach to Combining Static and Dynamic Verification Techniques.- Information flow analysis for Go.- Challenges in High-Assurance Runtime Verification .- Static versus Dynamic Verification in Why3, Frama-C and SPARK 2014.- Considering Type-State Verification for Quantified Event Automata.- Combining Static and Runtime Methods to Achieve Safe Standing-Up for Humanoid Robots.- On Combinations of Static and Dynamic Analysis.- Safer Refactorings.- Rigorous Engineering of Collective Adaptive Systems.- Programming of CAS systems by relying on attribute-based communication.- Towards Static Analysis of Policy-Based Self-Adaptive Computing Systems.- A Calculus for Open Ensembles and Their Composition.- Logic Fragments: coordinating entities with logic programs.- Mixed-Critical Systems Design with Coarse-grained Multi-core Interference.- A Library and Scripting Language for Tool Independent Simulation Descriptions.- Adaptation to the unforeseen: Do we master our autonomous systems?'-- Questions to the Panel.- Smart coordination of autonomic component ensembles in the context of ad-hoc communication.- A Tool-chain for Statistical Spatio-Temporal Model Checking of Bike-sharing Systems.- Rigorous graphical modelling of movement in Collective Adaptive Systems.- Integration and Promotion of Autonomy with the ARE Framework.- Safe Artificial Intelligence and Formal Methods.- Engineering Adaptivity, Universal Autonomous Systems, Ethics and Compliance Issues.- Correctness-by-Construction and Post-hoc Verification: Friends or Foes?.- Correctness-by-Construction and Post-hoc Verification: A Marriage of Convenience?.- Deductive Verification of Legacy Code.- Correctness-by-Construction $\land$ Taxonomies $\Rightarrow$\\ Deep Comprehension of Algorithm Families.- Conditions for Compatibility of Components - The case of masters and slaves.- A Logic for Statistical Model Checking of Dynamic Software Architectures.- On two Friends for getting Correct Programs - Automatically Translating Event-B Specifications to Recursive Algorithms
Автор: Collazos Nйstor Cataсo Название: Java Software Development with Event B: A Practical Guide ISBN: 168173687X ISBN-13(EAN): 9781681736877 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 4990.00 р. Наличие на складе: Поставка под заказ.
Описание:
The cost of fixing software design flaws after the completion of a software product is so high that it is vital to come up with ways to detect software design flaws in the early stages of software development, for instance, during the software requirements, the analysis activity, or during software design, before coding starts.
It is not uncommon that software requirements are ambiguous or contradict each other. Ambiguity is exacerbated by the fact that software requirements are typically written in a natural language, which is not tied to any formal semantics. A palliative to the ambiguity of software requirements is to restrict their syntax to boilerplates, textual templates with placeholders. However, as informal requirements do not enjoy any particular semantics, no essential properties about them (or about the system they attempt to describe) can be proven easily. Formal methods are an alternative to address this problem. They offer a range of mathematical techniques and mathematical tools to validate software requirements in the early stages of software development.
This book is a living proof of the use of formal methods to develop software. The particular formalisms that we use are EVENT B and refinement calculus. In short: (i) software requirements as written as User Stories; (ii) they are ported to formal specifications; (iii) they are refined as desired; (iv) they are implemented in the form of a prototype; and finally (v) they are tested for inconsistencies. If some unit-test fails, then informal as well as formal specifications of the software system are revisited and evolved.
This book presents a case study of software development of a chat system with EVENT B and a case study of formal proof of properties of a social network.
Автор: Collazos Nйstor Cataсo Название: Java Software Development with Event B: A Practical Guide ISBN: 1681736896 ISBN-13(EAN): 9781681736891 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 7900.00 р. Наличие на складе: Поставка под заказ.
Описание:
The cost of fixing software design flaws after the completion of a software product is so high that it is vital to come up with ways to detect software design flaws in the early stages of software development, for instance, during the software requirements, the analysis activity, or during software design, before coding starts.
It is not uncommon that software requirements are ambiguous or contradict each other. Ambiguity is exacerbated by the fact that software requirements are typically written in a natural language, which is not tied to any formal semantics. A palliative to the ambiguity of software requirements is to restrict their syntax to boilerplates, textual templates with placeholders. However, as informal requirements do not enjoy any particular semantics, no essential properties about them (or about the system they attempt to describe) can be proven easily. Formal methods are an alternative to address this problem. They offer a range of mathematical techniques and mathematical tools to validate software requirements in the early stages of software development.
This book is a living proof of the use of formal methods to develop software. The particular formalisms that we use are EVENT B and refinement calculus. In short: (i) software requirements as written as User Stories; (ii) they are ported to formal specifications; (iii) they are refined as desired; (iv) they are implemented in the form of a prototype; and finally (v) they are tested for inconsistencies. If some unit-test fails, then informal as well as formal specifications of the software system are revisited and evolved.
This book presents a case study of software development of a chat system with EVENT B and a case study of formal proof of properties of a social network.
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