Perlscript And WbemScripting
This book is a series of Perl script 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.
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.
VB.Net And OLEDB
This book is a series of books on ODBC, OLEDB and SQL Client with either a DataSet, DataTable or DataView.
C# And ODBC
This book is part of a collection of books with the main subject being SQL Client, OLEDB or ODBC and the entire book built around the use of a Dataset or Datatable or Dataview.
Rexx and WMI
This book is part of a series of books on Rexx that will help you write code and produce easy to build reports.
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.
WSH JScript and WbemScripting Async
This book is part of a series of books using WSH, JScript and WbemScripting to glean information from WMI Asynchronously. Once returned, the information drives reports, tables and other outputs.
WSH Perlscript And WbemScripting Async
The book covers the use of WSH, Perlscript, WbemScripting, and works with ExecNotificationQueryAsync and __InstanceModificationEvent to generate data that you can use with the suite of outputs available in this book.
WSH JavaScript and WbemScripting
This book is about using WSH, JavaScript, and WbemScripting and is working with ExecNotificationQuery and __InstanceDeletionEvent to produce a host of outputs including ASP, HTML and more!
C#.Net and WbemScripting
This book is part of a series of books covering the use of WbemScripting with InstancesOf to produce a suite of stock outputs.
C#.Net and WbemScripting
This book is part of a series of books covering the use of WbemScripting with ExecQuery to produce a suite of stock outputs.
Rexx and WMI
This book is one of 7 books using Rexx to power Wbemscripting, ExecNotificationQuery and __InstanceOperationEvent. These then drive outputs in the form of reports: ASP, ASPX, HTA, HTML and ASP. Just to name a few.
Javascript and WbemScripting Async
This book is a series of 7 books covering the use of Javascript and WbemScripting in Async Mode. This particular book uses ExceNotificationQueryAsync and __InstanceModificationEvent to power the suite of reports, tables and other coding outputs contained in the book.
Python Programming
Do you want to become a master at python programming?Knowing how to write beautiful python code is a super valuable skill. It's useful in almost any field of work and any company. It's said that programming for geeks, but that's all a myth. This book, Book 3 in the Hacking For Beginners Series presents python programming in a serious and fun way. It includes: The basics of PythonThe classes and objectsThe if statementsWorking with inheritance codesHow to handle exceptions in your codeHow loops can save you timeUsing the operators in your codeHow to file input and output workAnd much more! Are you ready to become a python programming master? You can start now.
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.
SQL Cookbook
You may know SQL basics, but are you taking advantage of its expressive power? This second edition applies a highly practical approach to Structured Query Language (SQL) so you can create and manipulate large stores of data. Based on real-world examples, this updated cookbook provides a framework to help you construct solutions and executable examples in several flavors of SQL, including Oracle, DB2, SQL Server, MySQL, and PostgreSQL. SQL programmers, analysts, data scientists, database administrators, and even relatively casual SQL users will find SQL Cookbook to be a valuable problem-solving guide for everyday issues. No other resource offers recipes in this unique format to help you tackle nagging day-to-day conundrums with SQL. The second edition includes: Fully revised recipes that recognize the greater adoption of window functions in SQL implementations Additional recipes that reflect the widespread adoption of common table expressions (CTEs) for more readable, easier-to-implement solutions New recipes to make SQL more useful for people who aren't database experts, including data scientists Expanded solutions for working with numbers and strings Up-to-date SQL recipes throughout the book to guide you through the basics
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.
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
C# Interview Questions You’ll Most Likely Be Asked
284 C# Interview Questions78 HR Interview QuestionsReal life scenario based questionsStrategies to respond to interview questionsFree 2 Aptitude Tests onlineC# 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.Includes: 284 C# Interview Questions, Answers and proven strategies for getting hired as an IT professionalDozens of examples to respond to interview questions78 HR Questions with Answers and proven strategies to give specific, impressive, answers that help nail the interviews2 Aptitude Tests download available on www.vibrantpublishers.comAbout the SeriesThis book is part of the Job Interview Questions series that has more than 75 books dedicated to interview questions and answers for different technical subjects and HR round related topics.This series of books is written by experienced placement experts and subject matter experts. Unlike comprehensive, textbook-sized reference guides, these books include only the required information for job search. Hence, these books are short, concise and ready-to-use by students and professionals.
Der Einfluss der Schwarmintelligenz von Ameisen auf das Internet der Dinge
Studienarbeit aus dem Jahr 2020 im Fachbereich Informatik - Internet der Dinge, IOT, Note: 1,5, ( Europ瓣ische Fernhochschule Hamburg ), Sprache: Deutsch, Abstract: Die Arbeit betrachtet die Schwarmintelligenz von Ameisen sowie deren Verhalten und stellt einen Bezug zum Internet der Dinge her. Anhand von Fallbeispielen und Abbildungen wird das-Internet-der-Dinge-Modell mit den Konzepten von Logistiksystemen in Verbindung gebracht und f羹r zuk羹nftige Umsetzungen betrachtet. F羹r die Umsetzung des Internet-der-Dinge-Modells ist vor allem die Schwarmintelligenz von Ameisen ausschlaggebend. Experten entwickelten dank der optimierten Futtersuche und der Reaktionen auf Hindernisse von Ameisen ein selbst-organisiertes, hierarchieloses System.
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.
Machine Learning and Data Science Blueprints for Finance
Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You'll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP). Ideal for professionals working at hedge funds, investment and retail banks, and fintech firms, this book also delves deep into portfolio management, algorithmic trading, derivative pricing, fraud detection, asset price prediction, sentiment analysis, and chatbot development. You'll explore real-life problems faced by practitioners and learn scientifically sound solutions supported by code and examples. This book covers: Supervised learning regression-based models for trading strategies, derivative pricing, and portfolio management Supervised learning classification-based models for credit default risk prediction, fraud detection, and trading strategies Dimensionality reduction techniques with case studies in portfolio management, trading strategy, and yield curve construction Algorithms and clustering techniques for finding similar objects, with case studies in trading strategies and portfolio management Reinforcement learning models and techniques used for building trading strategies, derivatives hedging, and portfolio management NLP techniques using Python libraries such as NLTK and scikit-learn for transforming text into meaningful representations
Artificial Intelligence in Finance
The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading. Author Yves Hilpisch shows practitioners, students, and academics in both finance and data science practical ways to apply machine learning and deep learning algorithms to finance. Thanks to lots of self-contained Python examples, you'll be able to replicate all results and figures presented in the book. In five parts, this guide helps you: Learn central notions and algorithms from AI, including recent breakthroughs on the way to artificial general intelligence (AGI) and superintelligence (SI) Understand why data-driven finance, AI, and machine learning will have a lasting impact on financial theory and practice Apply neural networks and reinforcement learning to discover statistical inefficiencies in financial markets Identify and exploit economic inefficiencies through backtesting and algorithmic trading--the automated execution of trading strategies Understand how AI will influence the competitive dynamics in the financial industry and what the potential emergence of a financial singularity might bring about
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.
C＋＋20 for Programmers
The professional programmer's Deitel(R) guide to C++20 Written for programmers with a background in another high-level language, in this book, you'll learn Modern C++ development hands on using C++20 and its "Big Four" features--Ranges, Concepts, Modules and Coroutines. (For more details, see the Preface, and the table of contents diagram inside the front cover.) In the context of 200+, hands-on, real-world code examples, you'll quickly master Modern C++ coding idioms using popular compilers--Visual C++(R), GNU(R) g++, Apple(R) Xcode(R) and LLVM(R)/Clang. After the C++ fundamentals quick start, you'll move on to C++ standard library containers array and vector; functional-style programming with C++20 Ranges and Views; strings, files and regular expressions; object-oriented programming with classes, inheritance, runtime polymorphism and static polymorphism; operator overloading, copy/move semantics, RAII and smart pointers; exceptions and a look forward to C++23 Contracts; standard library containers, iterators and algorithms; templates, C++20 Concepts and metaprogramming; C++20 Modules and large-scale development; and concurrency, parallelism, the C++17 and C++20 parallel standard library algorithms and C++20 Coroutines. Features Rich coverage of C++20's "Big Four" Ranges, Concepts, Modules and Coroutines Objects-Natural Approach: Use standard libraries and open-source libraries to build significant applications with minimal code Hundreds of real-world, live-code examples Modern C++: C++20, 17, 14, 11 and a look to C++23 Compilers: Visual C++(R), GNU(R) g++, Apple Xcode(R) Clang, LLVM(R)/Clang Docker: GNU(R) GCC, LLVM(R)/Clang Fundamentals: Control statements, functions, strings, references, pointers, files, exceptions Object-oriented programming: Classes, objects, inheritance, runtime and static polymorphism, operator overloading, copy/move semantics, RAII, smart pointers Functional-style programming: C++20 Ranges and Views, lambda expressions Generic programming: Templates, C++20 Concepts and metaprogramming C++20 Modules: Large-Scale Development Concurrent programming: Concurrency, multithreading, parallel algorithms, C++20 Coroutines, coroutines support libraries, C++23 executors Future: A look forward to Contracts, range-based parallel algorithms, standard library coroutine support and more "C++20 for Programmers builds up an intuition for modern C++ that every programmer should have in the current software engineering ecosystem. The unique and brilliant ordering in which the Deitels present the material jibes much more naturally with the demands of modern, production-grade programming environments. I strongly recommend this book for anyone who needs to get up to speed on C++, particularly in professional programming environments where the idioms and patterns of modern C++ can be indecipherable without the carefully crafted guidance that this book provides."--Dr. Daisy Hollman, ISO C++ Standards Committee Member "This is a fine book that covers a surprising amount of the very large language that is C++20. An in-depth treatment of C++ for a reader familiar with how things work in other programming languages."--Arthur O'Dwyer, C++ trainer, Chair of CppCon's Back to Basics track, author of several accepted C++17/20/23 proposals and the book Mastering the C++17 STL "Forget about callback functions, bare pointers and proprietary multithreading libraries--C++20 is about standard concurrency features, generic lambda expressions, metaprogramming, tighter type-safety and the long-awaited concepts, which are all demonstrated in this book. Functional programming is explained clearly with plenty of illustrative code listings. The excellent chapter, 'Parallel Algorithms and Concurrency: A High-Level View, ' is a highlight of this book."--Danny Kalev, Ph.D. and Certified System Analyst and Software Engineer, Former ISO C++ Standards Committee Member Register your book for convenient access to downl
Formal Methods for Industrial Critical Systems
This book constitutes the proceedings of the 25th International Workshop on Formal Methods for Industrial Critical Systems, FMICS 2020, which was held during September 2-3, 2020. The conference was planned to take place in Vienna, Austria. Due to the COVID-19 pandemic it changed to a virtual event.The 11 full papers presented in this volume were carefully reviewed and selected from 26 submissions. The papers are organized in topical sections as follows: Quantitative Analysis and Cyber-Physical Systems, Formal Verification of Industrial Systems, Temporal Logic and Model Checking. The book also contains a lengthy report on a Formal Methods Survey conducted on occasion of the 25th edition of the conference.
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.
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 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.
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.
C++17 - The Complete Guide
All the new language and library features of C++17 (for those who know the previous versions of C++).C++17 is the next evolution in modern C++ programming, which is already now supported by the latest version of gcc, clang, and Visual C++. Although it is not as big a step as C++11, it contains a large number of small and valuable language and library features, which will change the way we program in C++. As usual, not everything is self-explanatory, combining new features gives even more power, and there are hidden traps.This book presents all the new language and library features of C++17. It covers the motivation and context of each new feature with examples and background information. The focus is on how these features impact day-to-day programming, what it means to combine them, and how to benefit from this in practice.
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.
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.
Python Programming Guide. Exploring Computer Programming
Document from the year 2020 in the subject Computer Science - Programming, course: Python Programming, language: English, abstract: This Guide is explaining Python as it is the the perfect language for beginners trying to explore computer programming for the first time. Python is a general-purpose language. It has wide range of applications from web development to scientific and mathematical computing to desktop Graphical User Interfaces. The syntax of the language is clean and length of the code is relatively short. It's fun to work in Python because it allows you to think about the problem rather than focusing on the syntax.
Process Mining in Unternehmen. Auswirkungen auf Qualit瓣t, Kennzahlen und Kosten
Akademische Arbeit aus dem Jahr 2020 im Fachbereich Informatik - Allgemeines, Note: 1,0, Hochschule M羹nchen, Sprache: Deutsch, Abstract: Auf Basis einer detaillierten Umfrage mit 103 Teilnehmern von Unternehmen aus verschiedenen Branchen konnten in dieser Studienarbeit die Auswirkungen des Einsatzes von Process Mining im unternehmerischen Umfeld auf die Prozesskennzahlen Qualit瓣t, Kosten, Zeit und Flexibilit瓣t n瓣her er繹rtert werden. Process Mining hat sich in den letzten zehn Jahren als eines der beliebtesten und spannendsten Technologiefelder entwickelt. Durch das stetige Ansammeln von Gesch瓣ftsereignissen in Form von Event-Logs k繹nnen aus den verschiedenen Informationssystemen Daten ausgewertet und anschlie?end anhand einer visualisierten Oberfl瓣che einfach und übersichtlich dargestellt werden. Da sich dadurch gro?e unternehmerische Vorteile wie Verringerung von Kosten, schnellere Durchlaufzeiten oder erh繹hte Kundenzufriedenheit ergeben k繹nnen, ist die Technik mittels einem Process Mining Tool mittlerweile auch in der Praxis weit verbreitet und wird aktiv genutzt. Das Ziel durch den Einsatz von Process Mining ist neben der Visualisierung von Gesch瓣ftsprozessen, auch die Verbesserung der Prozesskennzahlen wie Qualit瓣t, Kosten, Zeit und Flexibilit瓣t. Um durch Process Mining eine hohe Erfolgswahrscheinlichkeit für die Verbesserung der internen Prozesse zu erzielen, werden aus den Umfrageergebnissen vier Wege abgeleitet, die zu einer positiven Entwicklung der sowohl eigenen, als auch abteilungs羹bergreifenden Prozesslandschaft und Prozesskennzahlen f羹hren kann.
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
Python Programming
This book provides a comprehensive and technical introduction to Python language. This book is written in beginner perspective and focused on fundamentals of Python and its implementation. This beginner friendly text book features plentiful ready to run programming examples and extensive explanation to understand difficult topics. The book includes Introduction to Programming in Python, Data types, Operators, different types of expressions. Python data structures like List, Dictionary, Tuple, Sets are covered with useful examples. Modular programming concepts such as user defined functions is also covered in this book. Readers will find complete programming code and clear display of syntax, explanation, and examples easy to read and beneficial to learning. This book is useful for one semester course focused on Python.
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.
Javascript and WbemScripting Async
This book is a series of 7 books covering the use of Javascript and WbemScripting in Async Mode. This particular book uses ExceNotificationQueryAsync and __InstanceOperationEvent to power the suite of reports, tables and other coding outputs contained in the book.
PHP and WbemScripting
This book is one of 7 books covering php and WbemScripting. This particular book uses ExecNotificationQuery and __InstanceModificationEvent to produce reports and tables
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!
Developing Multi-Platform Apps with Visual Studio Code
Redefine your software development experience by understanding the extensive features and rich functionalities offered by Visual Studio CodeKey Features Leverage the power of the free, cross-platform, and highly customizable code editor to build modern web and cloud applications Edit, debug and deploy on Microsoft Azure with Visual Studio Code Learn how to customize features and install a wide variety of third-party extensions Book Description Microsoft Visual Studio Code is a powerful, lightweight code editor for modern web and cloud development. It is a source code editor that can be used with a variety of programming languages, which works on multiple platforms such as Linux, Windows, and macOS. This book provides extensive coverage of the tools, functionalities, and extensions available within the VS Code environment that will help you build multi-platform apps with ease. You'll start with the installation of VS Code and learn about various tools and features that are essential for development. Progressing through the chapters, you'll explore the user interface while understanding tips and tricks for increasing productivity. Next, you'll delve into VS Code extensions and discover how they can make life easier for developers. Later, the book shows you how to develop a sample application with different programming languages, tools, and runtimes to display how VS code can be used effectively for development, before helping you get to grips with source code version management and deployment on Azure with VS Code. Finally, you'll build on your skills by focusing on remote development with VS Code. By the end of this book, you'll have the knowledge you need to use Visual Studio Code as your primary tool for software development. What you will learn Explore various editing, formatting, and navigational features of VS Code Understand how to add, delete, and configure extensions in VS Code Develop web APIs using Node.js, Java, and Python in VS Code Develop background service in .NET Core and explore Dapr Delve into debugging techniques such as breakpoints, log points, and data inspection Use Git with Azure DevOps to share and synchronize code with VS Code Create custom extensions in VS Code to increase developer productivity Understand the concepts of remote development using VS Code Who this book is for This book is for software developers, web developers and polyglot programmers, who are working with any language or framework such as Python, Java, Node.js, or .NET and are looking to learn how they can create multi-platform, microservices based, cloud-native applications while effectively using Visual Studio Code for editing, debugging, version management and deployment. Basic software development skills are a must to grasp the concepts covered in this book.
