WSH Perlscript and WbemScripting
The book covers the use of WSH, Perlscript, WbemScripting, and works with ExecNotificationQuery and __InstanceDeletionEvent to generate data that you can use with the suite of outputs available in this book.
C#.Net and WbemScripting
This book is part of a series of books covering the use of WbemScripting with ExecNotificationQuery and __InstanceOperationEvent to produce a suite of stock outputs.
Rexx and WMI
This book is one of 7 books that uses Rexx to power Wbemscripting. ExecNotificationQuery and __InstanceModificationEvent through its paces with the outcome being reports in ASP, HTA, HTML and XSL. Other outputs are also possible and are covered in the book.
Perlscript and WbemScripting
This book is a series of Perlscript based routines using WbemScripting to acquire information from the Win32_Process class and then create hundreds of customized outputs in ASP. ASPX. HTA. HTML and many others.
Perlscript and WbemScripting Async
Perlscript, InstancesOfAsync, and lots of code examples
WSH JScript and WbemScripting
This book is about the using WSH, JScript, WbemScripting working with ExecQuery producing data which is then fed into a suite of outputs you get to pick and choose from as source code
VB6 and WbemScripting Async
This vb6 book is about using WbemScripting in Asynchronous mode and working with GetAsync.The resulting data is then applied to a wide variety of outputs.
VB6 and WbemScripting Async
This vb6 book is about using WbemScripting in Asynchronous mode and working with ExecNotificationQuery and __InstanceCreationEvent.The resulting data is then applied to a wide variety of outputs.
VB6 and WbemScripting Async
This vb6 book is about using WbemScripting in Asynchronous mode and working with ExecNotificationQueryAsync and __InstanceModificationEvent.The resulting data is then applied to a wide variety of outputs.
Distributed Systems with Node.Js
Many companies, from startups to Fortune 500 companies alike, use Node.js to build performant backend services. And engineers love Node.js for its approachable API and familiar syntax. Backed by the world's largest package repository, Node's enterprise foothold is only expected to grow.In this hands-on guide, author Thomas Hunter II proves that Node.js is just as capable as traditional enterprise platforms for building services that are observable, scalable, and resilient. Intermediate to advanced Node.js developers will find themselves integrating application code with a breadth of tooling from each layer of a modern service stack.Learn why running redundant copies of the same Node.js service is necessaryKnow which protocol to choose, depending on the situationFine-tune your application containers for use in productionTrack down errors in a distributed setting to determine which service is at faultSimplify app code and increase performance by offloading work to a reverse proxyBuild dashboards to monitor service health and throughputFind out why so many different tools are required when operating in an enterprise environment
C# 9 and .NET 5 - Modern Cross-Platform Development - Fifth Edition
A comprehensive guide for beginners to learn the key concepts, real-world applications, and latest features of C# 9 and .NET 5 with hands-on exercises using VS CodeKey Features: Explore the newest additions to C# 9, the .NET 5 class library, Entity Framework Core and BlazorStrengthen your command of ASP.NET Core 5.0 and create professional websites and servicesBuild cross-platform apps for Windows, macOS, Linux, iOS, and AndroidBook descriptionIn C# 9 and .NET 5 - Modern Cross-Platform Development, Fifth Edition, expert teacher Mark J. Price gives you everything you need to start programming C# applications. This latest edition uses the popular Visual Studio Code editor to work across all major operating systems. It is fully updated and expanded with a new chapter on the Microsoft Blazor framework. The book's first part teaches the fundamentals of C#, including object-oriented programming and new C# 9 features such as top-level programs, target-typed new object instantiation, and immutable types using the record keyword. Part 2 covers the .NET APIs, for performing tasks like managing and querying data, monitoring and improving performance, and working with the file system, async streams, serialization, and encryption. Part 3 provides examples of cross-platform apps you can build and deploy, such as websites and services using ASP.NET Core or mobile apps using Xamarin.Forms. By the end of the book, you will have acquired the understanding and skills you need to use C# 9 and .NET 5 to create websites, services, and mobile apps.What you will learnBuild your own types with object-oriented programmingQuery and manipulate data using LINQBuild websites and services using ASP.NET Core 5Create intelligent apps using machine learningUse Entity Framework Core and work with relational databasesDiscover Windows app development using the Universal Windows Platform and XAMLBuild rich web experiences using the Blazor frameworkBuild mobile applications for iOS and Android using Xamarin.FormsWho this book is forThis book is best for C# and .NET beginners, or programmers who have worked with C# in the past but feel left behind by the changes in the past few years. This book doesn't expect you to have any C# or .NET experience; however, you should have a general understanding of programming. Students and professionals with a science, technology, engineering, or mathematics (STEM) background can certainly benefit from this book.
Python from the Very Beginning
In Python from the Very Beginning John Whitington takes a no-prerequisites approach to teaching a modern general-purpose programming language. Each small, self-contained chapter introduces a new topic, building until the reader can write quite substantial programs. There are plenty of questions and, crucially, worked answers and hints.Python from the Very Beginning will appeal both to new programmers, and to experienced programmers eager to explore a new language. It is suitable both for formal use within an undergraduate or graduate curriculum, and for the interested amateur.Chapters: Getting ReadyStarting OffNames and FunctionsAgain and AgainMaking ListsMore with Lists and StringsPrettier PrintingArranging ThingsWhen Things Go WrongMore with FilesThe Other NumbersThe Standard LibraryBuilding Bigger ProgramsProject 1: Pretty PicturesProject 2: Counting CaloriesProject 3: Noughts and CrossesProject 4: Photo FinishAnswers to QuestionsHints for QuestionsThe book has recently (2023) been updated with all errata and for the latest version of Python.
C# Interview Questions You’ll Most Likely Be Asked
284 C# Interview Questions 78 HR Interview Questions Real life scenario based questions Strategies to respond to interview questions 2 Aptitude Tests ​C# Interview Questions You'll Most Likely Be Asked is a perfect companion to stand ahead above the rest in today's competitive job market. Rather than going through comprehensive, textbook-sized reference guides, this book includes only the information required immediately for job search to build an IT career. This book puts the interviewee in the driver's seat and helps them steer their way to impress the interviewer. The following is included in this book: (a) 284 C# Interview Questions, Answers and proven strategies for getting hired as an IT professional (b) Dozens of examples to respond to interview questions (c) 78 HR Questions with Answers and proven strategies to give specific, impressive, answers that help nail the interviews (d) 2 Aptitude Tests download available on www.vibrantpublishers.com
Actionable Python
This book is a course on Python for new developers. It begins with setting up your development environment and takes you gradually through all major features that most Python developers need to know, including... Here is just some of what you will learn... To set up your environment for Python development. To write your own Python modules and functions. To use Python to do math. To index, slice, search, and format text. To work with lists and dictionaries and other Python iterables. To create virtual environments to contain your Python projects. To write conditional and flow-control logic. To gracefully handle errors in your programs. To work with dates and times in Python. To open files from the filesystem and to create, edit, delete, and move files. To style your Python code according to industry standards. To work with regular expressions for pattern matching. To work with data from CSV files, web pages, XML, JSON, and databases. To test and debug your code. To write object-oriented Python. To do data analysis and create beautiful charts using JupyterLab, NumPy, pandas, and matplotlib.This is the second edition of the book. The former title was Python 3.8. This edition includes three additional lessons covering data analysis with JupyterLab, NumPy, and pandas.
Practical Apache Lucene 8
Based on Apache Lucene 8.0Features the development of 4 innovative projects from scratchPresents the latest approaches to improve application performance
Android Studio 4.1 Development Essentials - Java Edition
Fully updated for Android Studio 4.1, Android 11 (R), Android Jetpack and the modern architectural guidelines and components, the goal of this book is to teach the skills necessary to develop Android-based applications using the Java programming language.An overview of Android Studio is included covering areas such as tool windows, the code editor and the Layout Editor tool. An introduction to the architecture of Android is followed by an in-depth look at the design of Android applications and user interfaces using the Android Studio environment.Chapters are also included covering the Android Architecture Components including view models, lifecycle management, Room databases, app navigation, live data and data binding.More advanced topics such as intents are also covered, as are touch screen handling, gesture recognition and the playback and recording of audio. This edition of the book also covers printing, transitions, cloud-based file storage and foldable device support.The concepts of material design are also covered in detail, including the use of floating action buttons, Snackbars, tabbed interfaces, card views, navigation drawers and collapsing toolbars.In addition to covering general Android development techniques, the book also includes Google Play specific topics such as implementing maps using the Google Maps Android API, and submitting apps to the Google Play Developer Console.Other key features of Android Studio 4.1 and Android 11 are also covered in detail including the Layout Editor, the ConstraintLayout and ConstraintSet classes, constraint chains, MotionLayout animation, barriers, direct reply notifications, view bindings and multi-window support.Chapters also cover advanced features of Android Studio such as App Links, Dynamic Feature Modules, the Android Studio Profiler and Gradle build configuration.Assuming you already have some programming experience, are ready to download Android Studio and the Android SDK, have access to a Windows, Mac or Linux system and ideas for some apps to develop, you are ready to get started.
Learn Android Studio 4
Build and deploy your Java-based Android apps using the popular and efficient Android Studio 4 suite of tools, an integrated development environment (IDE) for today's Android developers. With this book, you'll learn the latest and most productive tools in the Android tools ecosystem, ensuring quick Android app development and minimal effort on your part. Among these tools, you'll use the new Android Studio 4 features, including an upgraded CPU profiler UI, a new build speed window, the multi-preview feature, and the live layout inspector. After reading and using this book, you'll be able to efficiently build complete Java-based Android apps that run on any Android smartphone, tablet, smart watch and more. You'll also be able to publish those apps and sell them online and in the Google Play store. What You Will Learn Use Android Studio 4 to quickly and confidently build your first Android apps Build an Android user interface using activities and layouts, event handling, images, menus, and the action bar Work with new tools in Android Studio 4: Jetpack compose support, a smart editor for ProGuard rules, a new motion layout editor, a new Android Gradle plugin, and a fragment wizard with new fragment templates Integrate data with data persistence Access the cloud Who This Book Is For Those who may be new to Android Studio 4 or Android Studio in general. You may or may not be new to Android development. Some prior experience with Java is recommended.
Beginning R 4
Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data), and new data import settings for text (as well as the statistical methods to model text-based, categorical data). Each chapter starts with a list of learning outcomes and concludes with a summary of any R functions introduced in that chapter, along with exercises to test your new knowledge. The text opens with a hands-on installation of R and CRAN packages for both Windows and macOS. The bulk of the book is an introduction to statistical methods (non-proof-based, applied statistics) that relies heavily on R (and R visualizations) to understand, motivate, and conduct statistical tests and modeling.Beginning R 4 shows the use of R in specific cases such as ANOVA analysis, multiple and moderated regression, data visualization, hypothesis testing, and more. It takes a hands-on, example-based approach incorporating best practices with clear explanations of the statistics being done.You will: Acquire and install R and RStudioImport and export data from multiple file formatsAnalyze data and generate graphics (including confidence intervals)Interactively conduct hypothesis testingCode multiple and moderated regression solutions Who This Book Is For Programmers and data analysts who are new to R. Some prior experience in programming is recommended.
Python Machine Learning by Example - Third Edition
A comprehensive guide to get you up to speed with the latest developments of practical machine learning with Python and upgrade your understanding of machine learning (ML) algorithms and techniquesKey FeaturesDive into machine learning algorithms to solve the complex challenges faced by data scientists todayExplore cutting edge content reflecting deep learning and reinforcement learning developmentsUse updated Python libraries such as TensorFlow, PyTorch, and scikit-learn to track machine learning projects end-to-endBook DescriptionPython Machine Learning By Example, Third Edition serves as a comprehensive gateway into the world of machine learning (ML).With six new chapters, on topics including movie recommendation engine development with Na簿ve Bayes, recognizing faces with support vector machine, predicting stock prices with artificial neural networks, categorizing images of clothing with convolutional neural networks, predicting with sequences using recurring neural networks, and leveraging reinforcement learning for making decisions, the book has been considerably updated for the latest enterprise requirements.At the same time, this book provides actionable insights on the key fundamentals of ML with Python programming. Hayden applies his expertise to demonstrate implementations of algorithms in Python, both from scratch and with libraries.Each chapter walks through an industry-adopted application. With the help of realistic examples, you will gain an understanding of the mechanics of ML techniques in areas such as exploratory data analysis, feature engineering, classification, regression, clustering, and NLP.By the end of this ML Python book, you will have gained a broad picture of the ML ecosystem and will be well-versed in the best practices of applying ML techniques to solve problems.What you will learnUnderstand the important concepts in ML and data scienceUse Python to explore the world of data mining and analyticsScale up model training using varied data complexities with Apache SparkDelve deep into text analysis and NLP using Python libraries such NLTK and GensimSelect and build an ML model and evaluate and optimize its performanceImplement ML algorithms from scratch in Python, TensorFlow 2, PyTorch, and scikit-learnWho this book is forIf you're a machine learning enthusiast, data analyst, or data engineer highly passionate about machine learning and want to begin working on machine learning assignments, this book is for you.Prior knowledge of Python coding is assumed and basic familiarity with statistical concepts will be beneficial, although this is not necessary.
Das disruptive Potenzial von Cloud Computing und die Faktoren bei der Einf羹hrung in Unternehmen
Studienarbeit aus dem Jahr 2020 im Fachbereich Informatik - Wirtschaftsinformatik, Note: 1,7, Otto-Friedrich-Universit瓣t Bamberg, Sprache: Deutsch, Abstract: Handelt es sich bei Cloud Computing um eine disruptive Innovation und welche Faktoren spielen bei der Einf羹hrung in Unternehmen eine Rolle? Genau mit dieser Frage und weiteren Aspekten wird sich diese Arbeit befassen. Um ein besseres Verst瓣ndnis des Themengebietes zu vermitteln, werden zu Beginn die Grundlagen des Cloud Computings erl瓣utert. Darauffolgend wird der Vorgang der Recherche mittels eines Literatur-Reviews wiedergegeben, bevor die Ergebnisse aufgezeigt und in einer Diskussion abschlie?end bewertet werden. Cloud Computing ist seit seiner Einf羹hrung auf ein zunehmendes Interesse bei Unternehmen gesto?en. So hat es das Potenzial verschiedene Branchen nachhaltig zu ver瓣ndern. Unternehmen besch瓣ftigen sich mit der Adaption der Technologie, um erfolgreich am Markt zu bestehen und von den Vorteilen zu profitieren. In der Fachliteratur wird oft schon von der n瓣chsten gro?en disruptiven Innovation gesprochen. Doch handelt es sich bei Cloud Computing wirklich um eine disruptive Innovation nach der Theorie von Clayton M. Christensen? Und welche Faktoren sind bei der Einf羹hrung von Cloud Computing in Unternehmen zu beachten? Die hier vorliegende Arbeit hat sich mit diesen Fragen befasst und gibt dabei zus瓣tzlich einen ?berblick 羹ber die Grundlagen des Cloud Computing. Daf羹r wurde eine systematische Literaturrecherche in Anlehnung an Joost F. Wolfswinkel durchgef羹hrt.
Python
DID YOU KNOW THAT A PYTHON PROGRAMMER CAN EARN EVEN MORE THAN $ 100.000 PER YEAR?If you are an experienced coder or a beginner looking for the first time at this topic, the only thing you really need to know is that Python is one of the most requested and used languages and there is no sign of change in the future. This is why Python programmers are among the most valued professionals and therefore well paid.This is certainly one very good reason, I think, to start learning more about this topic, don't you agree?Learning to code in Python can give you countless benefits: - a yearly income well over $ 100.000;- the possibility to work from home;- working to exciting and modern tasks; - working with interesting and dynamic people; - developing projects on your own.This collection of two books, one for beginners and the other for experts, will allow you to learn both the basic principles and the more complex dynamics, until you reach a good level of knowledge of Python.Do you think becoming a Python coder is too hard of a task? Do you think you are not suited for it?Well, learning new skills is a process made out of two big components: the first one is just your own will to learn and the second one is a good source of information.We are sure this book is what you need to start your journey to become a Python programmer and achieve your goals.
Practical Python Data Visualization
Quickly start programming with Python 3 for data visualization with this step-by-step, detailed guide. This book's programming-friendly approach using libraries such as leather, NumPy, Matplotlib, and Pandas will serve as a template for business and scientific visualizations. You'll begin by installing Python 3, see how to work in Jupyter notebook, and explore Leather, Python's popular data visualization charting library. You'll also be introduced to the scientific Python 3 ecosystem and work with the basics of NumPy, an integral part of that ecosystem. Later chapters are focused on various NumPy routines along with getting started with Scientific Data visualization using matplotlib. You'll review the visualization of 3D data using graphs and networks and finish up by looking at data visualization with Pandas, including the visualization of COVID-19 data sets. The code examples are tested on popular platforms like Ubuntu, Windows, and Raspberry Pi OS. WithPractical Python Data Visualization you'll master the core concepts of data visualization with Pandas and the Jupyter notebook interface.What You'll LearnReview practical aspects of Python Data Visualization with programming-friendly abstractions Install Python 3 and Jupyter on multiple platforms including Windows, Raspberry Pi, and Ubuntu Visualize COVID-19 data sets with PandasWho This Book Is ForData Science enthusiasts and professionals, Business analysts and managers, software engineers, data engineers.
Android Studio 4.1 Development Essentials - Kotlin Edition
Fully updated for Android Studio 4.1, Android 11 (R), Android Jetpack and the modern architectural guidelines and components, the goal of this book is to teach the skills necessary to develop Android-based applications using the Kotlin programming language.Beginning with the basics, this book provides an outline of the steps necessary to set up an Android development and testing environment followed by an introduction to programming in Kotlin including data types, flow control, functions, lambdas, coroutines and object-oriented programming.An overview of Android Studio is included covering areas such as tool windows, the code editor and the Layout Editor tool. An introduction to the architecture of Android is followed by an in-depth look at the design of Android applications and user interfaces using the Android Studio environment.Chapters are also included covering the Android Architecture Components including view models, lifecycle management, Room databases, app navigation, live data and data binding.More advanced topics such as intents are also covered, as are touch screen handling, gesture recognition and the playback and recording of audio. This edition of the book also covers printing, transitions, cloud-based file storage and foldable device support.The concepts of material design are also covered in detail, including the use of floating action buttons, Snackbars, tabbed interfaces, card views, navigation drawers and collapsing toolbars.Other key features of Android Studio 4.1 and the Android 11 SDK are also covered in detail including the Layout Editor, the ConstraintLayout and ConstraintSet classes, MotionLayout animation, constraint chains and barriers, view binding, direct reply notifications and multi-window support.Chapters also cover advanced features of Android Studio such as App Links, Dynamic Feature Modules, the Android Studio Profiler and Gradle build configuration.Assuming you already have some programming experience, are ready to download Android Studio and the Android SDK, have access to a Windows, Mac or Linux system and ideas for some apps to develop, you are ready to get started.
Python for Excel
While Excel remains ubiquitous in the business world, recent Microsoft feedback forums are full of requests to include Python as an Excel scripting language. In fact, it's the top feature requested. What makes this combination so compelling? In this hands-on guide, Felix Zumstein--creator of xlwings, a popular open source package for automating Excel with Python--shows experienced Excel users how to integrate these two worlds efficiently. Excel has added quite a few new capabilities over the past couple of years, but its automation language, VBA, stopped evolving a long time ago. Many Excel power users have already adopted Python for daily automation tasks. This guide gets you started. Use Python without extensive programming knowledge Get started with modern tools, including Jupyter notebooks and Visual Studio code Use pandas to acquire, clean, and analyze data and replace typical Excel calculations Automate tedious tasks like consolidation of Excel workbooks and production of Excel reports Use xlwings to build interactive Excel tools that use Python as a calculation engine Connect Excel to databases and CSV files and fetch data from the internet using Python code Use Python as a single tool to replace VBA, Power Query, and Power Pivot
Learn Python
Are you interested in software development? Are you getting attracted to learning what artificial intelligence is? Do you like to master Python coding? If that's the case, this book, LEARN PYTHON: Crash Course and Coding is the answer to your concerns! Allow this book to bring you the Python language without a fuss and explore the realm of artificial intelligence, machine learning, and data science!You will find a plethora of languages you could work when we talk about coding. However, none are going to offer you the advantages you'll get with Python coding. The language is extraordinarily sought-after and utilized so often. Did you know a few operating systems, which have some version of Python seen on them for you to use? That could make it simpler to learn some of the coding done that you'd wish and will guarantee you'll receive the best advantages out of it in no time. Keep in mind that the Python language isn't just challenging to read. Inside this book, you will realize that it's a simple job to read some of the various parts of the language. That's especially true even if you're a beginner and haven't been able to work with the language ever. The best part here is that you'll still be able to check some of the systems and see that you understand the details quite well. Here's a preview of what you'll find in this book: - How To Install Python On Windows - Variables And Simple Data Types; - Functions In Python; - Testing Your Code; - Data Science With Python And Machine Learning; - Web Applications; - Tips And Tricks To Get The Most Out Of Python;- Inheritances In Python - Python-Specific Definitions - - Analysis Using Panda - Python Machine Learning - Algorithms - Data Files - How To Read Errors And Troubleshooting Your Code- And So Much More!This book is intended for beginners, students, and even professionals who wish to understand how to code and use it to solve challenging real-life concerns. What are you waiting for? Scroll this page and click BUY NOW to get started!
The Unicode Cookbook for Linguists
This text is a practical guide for linguists, and programmers, who work with data in multilingual computational environments. We introduce the basic concepts needed to understand how writing systems and character encodings function, and how they work together at the intersection between the Unicode Standard and the International Phonetic Alphabet. Although these standards are often met with frustration by users, they nevertheless provide language researchers and programmers with a consistent computational architecture needed to process, publish and analyze lexical data from the world's languages. Thus we bring to light common, but not always transparent, pitfalls which researchers face when working with Unicode and IPA. Having identified and overcome these pitfalls involved in making writing systems and character encodings syntactically and semantically interoperable (to the extent that they can be), we created a suite of open-source Python and R tools to work with languages using orthography profiles that describe author- or document-specific orthographic conventions. In this cookbook we describe a formal specification of orthography profiles and provide recipes using open source tools to show how users can segment text, analyze it, identify errors, and to transform it into different written forms for comparative linguistics research. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
The Unicode Cookbook for Linguists
This text is a practical guide for linguists, and programmers, who work with data in multilingual computational environments. We introduce the basic concepts needed to understand how writing systems and character encodings function, and how they work together at the intersection between the Unicode Standard and the International Phonetic Alphabet. Although these standards are often met with frustration by users, they nevertheless provide language researchers and programmers with a consistent computational architecture needed to process, publish and analyze lexical data from the world's languages. Thus we bring to light common, but not always transparent, pitfalls which researchers face when working with Unicode and IPA. Having identified and overcome these pitfalls involved in making writing systems and character encodings syntactically and semantically interoperable (to the extent that they can be), we created a suite of open-source Python and R tools to work with languages using orthography profiles that describe author- or document-specific orthographic conventions. In this cookbook we describe a formal specification of orthography profiles and provide recipes using open source tools to show how users can segment text, analyze it, identify errors, and to transform it into different written forms for comparative linguistics research. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
VB.Net Coding Adventures
Want some great advice and source code. Welcome to the party!
Rexx And WMI
This book is about using Rexx with Wbemscripting and ExecQuery to create reports and tables.
Perlscript and WbemScripting Async
Reports and tables powered by Perlscript using WbemScripting in Asynchronous mode. Pure source code.
C#.Net and WbemScripting
Lots of chapters with lots of source code!
Java Programmming
How Can you Take Advantage of the Tremendous Development Tools and Versatility of Java in 2020? keep reading to find out ...Java is a widely-used programming language on the Web and in computing applications. It is a free download solution that allows users to access the latest versions and implement updates. This particular Programming Language is present in the majority of today's Web Applications and Computing Technologies. Java's scalable characteristics make it suitable for deployment in a wide range of applications, including apps for small electronic devices like cell phones and software solutions for large scale operations such as data centres. The growing preference for deploying Java is attributable to its robust functional features and sound security credentials.Java bears the Unique Distinction of Operating as a Modernized Programming Language but also as a Platform. The Programming Language Component of Java is centred on the aspect of writing instructions and compiling commands.This book includes: Why is Java crucial in 2020 ? ✓Get to know the Richest Application Programming Interface ✓Different Type Open Source Libraries ✓Discover the 7 Best Development Tools of Java ✓Get access to Extraordinary Documentation Support ✓Keywords ✓Identifiers ✓What are the Variables ? ✓ Java Runtime Environment ✓Creating Objects ✓...And much more!The book provides details of the different basic aspects of Java to guide you through the beginner's level of this Programming Language. This guide highlights the underlying concepts of Java, provides relevant examples, and incorporates exercises that will help you understand its fundamental parameters, structure, characteristics, and operations. It guides you on the procedures for implementing end-user deployments of the different tools that are used in a Java development environment.Ready to become a Master of Java? Don't waste time "Get the Book" !
Programming for Computations - Python
Mathematics; Computer mathematics; Numerical analysis; Computer software; Numerical analysis This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
Modern Tkinter for Busy Python Developers
Third Edition: thoroughly revised and expanded! Over 20% new material. Updated for Python 3.9.Quickly learn the right way to build attractive and modern graphical user interfaces with Python and Tkinter.You know some Python. You want to create a user interface for your application. You don't want to waste time messing around with things you don't need.Enter Tkinter.It's built right into Python. Everything you need is included in the standard Python distributions. No extra downloads. Your Python and Tkinter scripts will work on Windows, Mac and Linux.Tkinter has a simple, clean, Pythonic API and takes care of much of the housekeeping needed in GUI programming. You can focus on what's unique in your application.One HUGE Problem.Tkinter has been around for a very long time. There's a lot of documentation, much of it created years ago. Nearly everything you'd find in that documentation still works today.But it's all wrong.Tkinter has a reputation for ugly and outdated user interfaces that don't fit in with modern systems. And if you follow the old documentation, that's exactly what you'll get.Because Tkinter has taken a quantum leap forward since all that documentation was written. There are new and better ways to build your user interface. Your program needs to be written differently to take advantage of that.Modern Tkinter shows you the right way to do it.You'll learn all the modern best practices. You'll build your user interface the right way the first time, without having to learn anything extra or irrelevant. It starts at the beginning, shows you what you need to know, and covers all the essential elements of building your modern user interface. This includes: all the standard GUI widgetsattractively laying out your user interfacemanaging menus, windows, and standard dialogsorganizing more complex user interfacesTkinter's powerhouse widgets: canvas and textcustomizing the look of your user interfacemaking it all work on Mac, Windows, and LinuxYou may have been using older documentation, or are trying to update a Tkinter program written years ago. If so, you'll find warnings of what to avoid using, and how to replace it with a modern solution. There's even a full case study of modernizing the user interface of a seriously out-of-date Tkinter application you may be familiar with.Who this book is forThis book is for everyday Python programmers looking to quickly create desktop user interfaces. You may be new to Tkinter, or want to bring your knowledge up to date. You don't need to be an expert on OOP, MVC architecture, multithreading or any other advanced topics. In fact, you're not going to see any of those things in this book.This book uses Python 3.9, but everything you learn will apply (with small tweaks) to any Python 3.x version. It won't help you if you're using Python 2.x.Let veteran software developer Mark Roseman show you the right way to build user interfaces with Python and Tkinter. He's been using and Tk (the technology behind Tkinter) since its early days and has shipped dozens of open source tools and commercial applications based on it.He's also the author of the multi-lingual TkDocs website, the de facto reference for building modern Tk user interfaces. This book brings together Python-specific information from that site and supports its further development.
Autonomes Fahren in Deutschland. Stand der Technik, Gesetzgebung sowie gesellschaftliche Aspekte
Bachelorarbeit aus dem Jahr 2020 im Fachbereich Informatik - Wirtschaftsinformatik, Note: 2,0, Sprache: Deutsch, Abstract: Die Bachelorarbeit analysiert die Chancen und Risiken des autonomen Fahrens, um den Menschen ein klares Bild dar羹ber zu verschaffen. Denn durch Recherchen vonseiten des Autors dieser Arbeit wurde deutlich, dass die Menschen nicht gen羹gend 羹ber die neue Technologie aufgekl瓣rt worden sind. Dazu beginnt die Arbeit mit der Historie und f羹hrt dann in die technologische Entwicklung ein. Als N瓣chstes folgt die Beschreibung der Herausforderungen in der Technik. Neben diesen Herausforderungen ist es wichtig, unter Ber羹cksichtigung der Ethik, die gesetzliche Lage zu bestimmen. Zus瓣tzlich werden die rechtlichen Situationen der Nationen mit den gr繹?ten Automobilm瓣rkten erl瓣utert. Anschlie?end daran wird der aktuelle Stand der IT-Sicherheit mit den noch ausstehenden Gefahren dargestellt. Im weiteren Verlauf werden sowohl die wirtschaftlichen als auch die 繹kologischen Vorteile erl瓣utert. Denn diese beiden Faktoren werden eine entscheidende Auswirkung auf die gesellschaftliche Akzeptanz haben. Ohne die Akzeptanz ist das Bestehen des Projektes autonomes Fahren unm繹glich, da die Nachfrage den wichtigsten Faktor ausmacht. Deshalb wird gro?en Wert auf die Forschung und Entwicklung gelegt, um bei den Endverbrauchern die bestm繹glichste Zufriedenheit zu erreichen. Abschlie?end werden die Ergebnisse mithilfe der SWOT-Analyse untersucht, um letztendlich ein Bild von dem aktuellen Stand des autonomen Fahrens zu geben und die St瓣rken und Schw瓣chen darzustellen. Da diese Technologie sich noch in der Entwicklung befindet, ist wichtig, dass die m繹glichen Chancen und Risiken in Betracht gezogen werden. Die Zukunft, in der die k羹nstliche Intelligenz (KI) den Menschen als Fahrer abl繹st, r羹ckt immer n瓣her. Somit ist das autonome Fahren stark in den Medien pr瓣sent. Was oft unbekannt ist, ist die Tatsache, dass die Idee 羹ber ein selbstfahrendes Fahrzeug etliche Jahre zur羹ck
C++ Programming
Why You Should at Least Get Familiar with C++? Even if You Plan to Use Higher Level Languages as your Tool of Choice? Today's AI industry is basically built upon C++. AI scientist, data analyst may prefer simple language bindings like python, but any serious project has to use C++ in its very core. It will continue to be used by many companies in the autonomous driving space for the foreseeable future.This is a beginner's introduction to the C++ language, as well as a reference guide by experienced C++ programmers. It will help you increase your programming skills exponentially.C++ is famous among programmers for its advanced capabilities and straightforward syntax . It has evolved from another dominant programming language (C programming language) for the past four decades.The success of C++ is mainly due to its object-oriented nature. In the early 1980s, the object-oriented programming paradigm took the technological world by storm. People were impressed with the adaptability and simplicity it offers. A lot of built C libraries at that time can be easily transformed into C++ functional libraries.This guide will EFFECTIVELY help you to Get Serious Results with Your Programs ✓Develop Firmware for Embedded Systems ✓High Performance Software Components or Libraries ✓Take Full Advantage of the Operating System ✓Low Level Stuffs ✓Discover the Most Effective STL Containers ✓Professionally Develop Your Games ✓...And much more!All of these factors combinedly helped C++ to become one of the popular high-level programming languages of this decade. It is estimated that by 2025, 15% of the Robotic applications will use C++ as a primary language to develop their resources. And do you know Photoshop is developed in C++? Many Adobe software are developed in C++, such as Acrobat, Illustrator, and many others.To Enhance the Applications and Save your Money/Time "GET THIS BOOK "
Programmare
Il motivo per cui ho iniziato a scrivere questo libro 癡 per aiutare chi vuole imparare a programmare. Il libro non insegna a usare un linguaggio di programmazione, ma a capire come fare per scrivere un programma. Come ragiona un programmatore? Come fare per analizzare un problema? Come scrivere una soluzione valida? Scrivere un software non 癡 una cosa complicata, basta fare attenzione e comprendere qual'癡 il nocciolo della questione: risolvere un problema. Imparerete a risolvere dei problemi individuando un processo o un algoritmo, raffigurandolo con un diagramma a blocchi per poi tradurlo facilmente in codice. Nel libro tratto la scrittura in Scratch e Python ma il metodo pu簷 essere applicato a qualsiasi linguaggio di programmazione. Scrivo software dall'et? di 10 anni e mi 癡 sempre piaciuto avere a che fare con i computer. Attualmente scrivo programmi in numerosi linguaggi: Java, Swift, Javascript, C e C++, Python e altri.
Estrutura C# e .NET
Este livro fornece conhecimentos completos de aplica癟繭es C# Console, Windows e ASP.NET. O C# completo 矇 繳til para aprender programa癟瓊o C# de forma orientada para a pr獺tica, assim como ajuda os alunos como uma refer礙ncia r獺pida durante seus exames e entrevistas. Este livro cobre os conte繳dos program獺ticos do curr穩culo de v獺rias universidades na ?ndia e no estrangeiro. A primeira edi癟瓊o do livro did獺tico tem como objetivo elucidar o b獺sico da programa癟瓊o em C#, e 矇 especialmente concebida e escrita para ser usada como refer礙ncia r獺pida para os alunos durante seus exames e entrevistas.
C#- und .NET-Rahmenwerk
Dieses Buch bietet vollst瓣ndige Kenntnisse 羹ber C#-Konsole, Windows- und ASP.NET-Anwendungen. Das vollst瓣ndige C# ist n羹tzlich, um die C#-Programmierung praxisorientiert zu erlernen, und hilft den Studenten als schnelle Referenz w瓣hrend ihrer Pr羹fungen und Interviews. Dieses Buch deckt die Lehrpl瓣ne in den Lehrpl瓣nen verschiedener Universit瓣ten in Indien und im Ausland ab. Die erste Ausgabe des Lehrbuchs zielt darauf ab, die Grundlagen der C#-Programmierung zu erl瓣utern, und ist speziell so konzipiert und geschrieben, dass sie den Studierenden bei ihren Pr羹fungen und Interviews als schnelle Referenz dienen kann.
Ramy C# i .NET
Książka ta dostarcza pelnej wiedzy na temat aplikacji C# Console, Windows i ASP.NET. Kompletna C# jest przydatna do nauki programowania C# w praktyczny spos籀b, jak r籀wnież pomaga uczniom jako szybki punkt odniesienia podczas egzamin籀w i rozm籀w kwalifikacyjnych. Książka ta zawiera program nauczania na r籀żnych uniwersytetach w Indiach i za granicą. Pierwsze wydanie podręcznika ma na celu wyjaśnienie podstaw programowania C# i jest specjalnie zaprojektowane i napisane tak, by można je bylo wykorzystac jako szybką referencję dla student籀w podczas ich egzamin籀w i rozm籀w kwalifikacyjnych.
Cadre C# et .NET
Ce livre fournit une connaissance compl癡te des applications C# Console, Windows et ASP.NET. Le C# complet est utile pour apprendre la programmation en C# de mani癡re pratique et sert 矇galement de r矇f矇rence rapide aux 矇tudiants lors de leurs examens et entretiens. Ce livre couvre les programmes d'矇tudes de diverses universit矇s en Inde et ? l'矇tranger. La premi癡re 矇dition du manuel a pour but d'矇lucider les bases de la programmation en C# et est sp矇cialement con癟ue et 矇crite pour servir de r矇f矇rence rapide aux 矇tudiants lors de leurs examens et entretiens.
Information Retrieval. An Ontology-based Approach
Scientific Study from the year 2020 in the subject Computer Science - General, language: English, abstract: Information shared over the web keeps escalating gradually and rapidly. Due to this fast and steady growth, well-known problems are associated with retrieving desired information when needed. However, a few initiatives were introduced in the previous decade with the development of search engine technology. The search engine technology aids in the collection, storage and pre-processing a wide range of information to deliver relevant resources instantly in response to users' needs. Nevertheless, users sometimes need more effort to obtain desired information. This paper discusses the concept of information retrieval with some emphasis on the different information retrieval models. Furthermore, this paper will describe how documents are analyzed and ranked using different models.
Problem Solving with Algorithms and Data Structures using Python
Problem-Solving with Algorithms and Data Structures using Python was designed to cover data structures from a practical point of view, with as many complete examples as possible. The data structures shown in this book are the most efficient, elegant, and robust designs. This textbook is designed to serve as a text for the first course on data structures and algorithms. In this book, we cover abstract data types and data structures, writing algorithms, and solving problems. We look at several data structures and solve classic problems that arise. The tools and techniques that you learn here will be applied over and over as you continue your study of computer science.
Desarrollo de aplicaciones web en R Shiny para el an獺lisis de Twitter
Un gran n繳mero de informaci籀n en texto digital es generada cada d穩a. A diario miles de textos y mensajes circulan por las redes sociales, tratando diversos t籀picos o temas de inter矇s. Twitter es una de las redes sociales m獺s grandes en la actualidad, pol穩ticos, empresas, organizaciones, celebridades, gobiernos la usan para compartir sus ideolog穩as, intereses y opiniones, al p繳blico en general, recibiendo una retroalimentaci籀n del mismo. La miner穩a de textos es el conjunto de herramientas que nos permiten llevar a cabo el an獺lisis de datos no estructurados, en este caso, texto abierto o libre como los tweets. En el desarrollo de esta tesis, abordaremos las principales herramientas de la miner穩a de textos en lenguaje de programaci籀n R, que nos ayudan en la extracci籀n, limpieza, estructuramiento y an獺lisis de texto.
Microprocessors and Programming
This book covers both hardware as well the software part of Microprocessor 8086. The Hardware part includes Architecture, Pin Description and Supporting Peripherals. Important concepts like Segmentation and Pipelining which are the heart of 8086 are covered in detail. The Software part includes Instruction set, Addressing modes and Assembler directives which are the key to Assembly language Programming. Basic Assembly Language Programs are covered in the book which will help the students at Beginners level. Concepts such as Procedures and Macros are also covered in the final chapter which will help in Modular Programming approach.
XML Basics
No detailed description available for "XML Basics".
Digitale Transformation und neue F羹hrungspositionen. Wie Chief Digital Officers die digitale Transformation von Unternehmen erfolgreich steuern
Die fortschreitende Digitalisierung ver瓣ndert Wirtschaft und Unternehmen enorm. Durch technologische Innovationen und den damit verbundenen Konkurrenzdruck m羹ssen Unternehmen neue F羹hrungsmodelle und Gesch瓣ftsstrukturen entwickeln. Eine M繹glichkeit, die digitale Transformation von Unternehmen zu steuern, ist der Einsatz eines Chief Digital Officers. Was sind die Aufgaben eines Chief Digital Officers? ?ber welche Kompetenzen sollte dieser verf羹gen? Und welche Rolle spielt ein Chief Digital Officer bei der digitalen Transformation eines Unternehmens? Die Autorin Vivien Wika kl瓣rt die wichtigsten Fragen zur F羹hrungsposition des Chief Digital Officers und hebt dessen Bedeutung f羹r die digitale Transformation eines Unternehmens hervor. Wika erl瓣utert die weltweite Verteilung von Chief Digital Officers und wirft einen Blick in die Zukunft dieser F羹hrungskr瓣fte. Aus dem Inhalt: - Big Data; - K羹nstliche Intelligenz; - Design-Thinking; - Digitalisierungsstrategie; - Change-Management
Vor- und Nachteile bei der Nutzung von Cloud-L繹sungen im regulierten Umfeld der Pharmabranche
Bachelorarbeit aus dem Jahr 2020 im Fachbereich Informatik - Wirtschaftsinformatik, Note: 1,7, AKAD University, ehem. AKAD Fachhochschule Stuttgart, Sprache: Deutsch, Abstract: Im Rahmen dieser Arbeit sollen die Vor- und Nachteile sowie die Chancen und Risiken untersucht werden, die sich f羹r ein Unternehmen ergeben, wenn computergest羹tzte Systeme, die unter gesetzliche Regularien fallen und zu validieren sind, in eine externe Cloud 羹berf羹hrt oder implementiert werden. Da die verschiedenen Regelwerke und ihre Anforderungen - n瓣mlich, dass computergest羹tzte Systeme zu validieren sind - sich sehr 瓣hneln, liegt der Schwerpunkt dieser Arbeit auf den Regeln der europ瓣ischen Good Manufacturing Practice. Andere geltende Richtlinien werden erw瓣hnt, wenn dies angebracht ist. Die Untersuchung ber羹cksichtigt prim瓣r den operationellen Lebenszyklus, beginnend mit der Installation eines computergest羹tzten Systems und den Anforderungen, die von einer IT-Einheit bzw. einem Dienstleister erbracht werden m羹ssen. Cloud-Computing erfreut sich seit Jahren einer zunehmenden Beliebtheit. So nutzt heute schon mehr als die H瓣lfte der Unternehmen in Deutschland diese Technologie. Schlie?lich verspricht sie finanzielle, operative und strategische Vorteile. Durch die zunehmende Verbreitung von Cloud-L繹sungen kommen diese auch vermehrt in pharmazeutischen Unternehmen zum Einsatz. Aber gerade in der pharmazeutischen Industrie ist es wichtig zu verstehen, in welchem Umfeld IT-L繹sungen eingesetzt werden. Hier ist besonders das GMP-Umfeld ("Good Manufacturing Practice" oder "Gute Herstellungspraxis") in der Arzneimittelherstellung zu erw瓣hnen. Die gesetzliche Grundlage f羹r die Kontrolle und Dokumentation von IT-Systemen, die in GMP-pflichtigen Vorg瓣ngen eingesetzt werden, ist unter anderem in der Arzneimittel- und Wirkstoffherstellungsverordnung (AMWHV) geregelt. Eine gro?e Herausforderung f羹r pharmazeutische Unternehmen liegt darin, wie und in welchem Umfang Cloud-Dienste im regulierten Umfeld gen
