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Android Classes Training Android Training Classes and Courses in Nagpur - Android application improvement classes in Nagpur by CNCWEBWORLD Institutes in Nagpur Android Training Classes in Nagpur Android is utilized for improvement of versatile applications. It is the quickest developing innovation. Android based cell phones, tablets, ipads and so on are commontly utilized these days. So request of android experts are set to increment. For Course Timings Batch and classes on Android you can contact CNCWEBWORLD Institute in Nagpur. Android is favored course by designing and non building graduates who needs to go for developing innovation. Android Training and Classes Timings are accessible in morning evening and night. Android Training Batches can likewise booked according to helpful timings. CNCWEBWORLD Institute additionally gives last year venture preparing to Android. Android has experienced numerous progressions over a period From Android 1.5 Cupcake, Android 1.6 Donut, Android 2.1 Eclair, Android 2.2 Froyo, Android 2.3 Gingerbread, Android 3.0 Honeycomb, Android 4.0 Icecream Sandwich , Android 4.1 Jelly Bean, Android 4.4 Kitkat, Android 5.0 Lollypop, Android 6.0 Marshmellow, Android 7 Nougat to Android 8.0 Oreo. • Java Concepts • Introduction to Android • Application Structure of Android in Detail • Emulator Android Virtual Device • Basic UI Design in android • Preferences in android • Menu in android • Intents in android • UI Design in android • Content Providers in android • Adapters and Widgets in android • Notifications in android • Advanced • Introduction to PHP: Hypertext Preprocessor • Binding of Android with PHP • Project work in Android Introduction to Android Diagram of Android and Android SDK History of Android Android highlights Android Architecture Overview Prologue to OS layers Linux bit Libraries Android Runtime Application system Setup of Android Development Environment Framework prerequisites Shroud and SDK establishment, AVD creation Making first Android application Venture Structure Android Application Fundamentals Android application building squares Actuating segments Closing down segments LifeCycle of Application Improvement devices, Manifest File LifeCycle of Activity UI View Hierarchy and Layouts UI Events Building Menus Telling clients Making discoursed Fundamental Building Blocks Movement Goals Administrations Content Providers Communicate Receivers Assets Diagram of Android Resources Making Resources Utilizing Resources Drawable Resources Movement Resources Information Storage Shared Preferences Inward Storage (Files) Outer Storage(SD Card) SQLite Databases Android Media API Playing sound/video Media recording Others Camera Media recording Communication Manager Area Servicesr Google Maps Long range informal communication - Twitter and facebook reconciliation with Android applications. Investigation - Flurry and Google Analytics Promotion reconciliation utilizing AdMarvel and AdMob Conveying Android Application on Device Site encourages a business to advance their item and administrations over the net viably. CNCWEBWORLD offer cost aggressive and fantastic site improvement benefits that incorporate website composition, programming, web facilitating and upkeep of the site. Our group of master engineers revels most recent and suitable devices and programming to convey the normal outcomes without expanding the expense of the undertaking. At CNCWEBWORLD, you will inspire end to end site improvement benefits that can help your perceivability and produce income. Our site improvement administrations will help you in: Making hearty online nearness Lift up the business forms The board of Business correspondence Online business bolster 24x7 client bolster We give a wide exhibit of web advancement administrations to meet the prerequisite of all kind and size of the business. A portion of our profitable administrations are as per the following: Undertaking Portal Development Web architecture Open source programming combination Database programming Propelled web application advancement Web based business combination Web Hosting Web advancement (PHP, MySQL) Web advancement and re-designing administrations to fabricate an entrancing web character. Being a coordinated web advancement organization, we have adequate skill, experience and capacity to determine all sort of complex web related issues totally. Get in touch with us to repair a meeting with our advisor and visit our portfolio. For more Details click here: https://cncwebworld.com/nagpur/android-training-institute
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Aryia-Behroziuan /
An ANN is a model based on a collection of connected units or nodes called "artificial neurons", which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit information, a "signal", from one artificial neuron to another. An artificial neuron that receives a signal can process it and then signal additional artificial neurons connected to it. In common ANN implementations, the signal at a connection between artificial neurons is a real number, and the output of each artificial neuron is computed by some non-linear function of the sum of its inputs. The connections between artificial neurons are called "edges". Artificial neurons and edges typically have a weight that adjusts as learning proceeds. The weight increases or decreases the strength of the signal at a connection. Artificial neurons may have a threshold such that the signal is only sent if the aggregate signal crosses that threshold. Typically, artificial neurons are aggregated into layers. Different layers may perform different kinds of transformations on their inputs. Signals travel from the first layer (the input layer) to the last layer (the output layer), possibly after traversing the layers multiple times. The original goal of the ANN approach was to solve problems in the same way that a human brain would. However, over time, attention moved to performing specific tasks, leading to deviations from biology. Artificial neural networks have been used on a variety of tasks, including computer vision, speech recognition, machine translation, social network filtering, playing board and video games and medical diagnosis. Deep learning consists of multiple hidden layers in an artificial neural network. This approach tries to model the way the human brain processes light and sound into vision and hearing. Some successful applications of deep learning are computer vision and speech recognition.[68] Decision trees Main article: Decision tree learning Decision tree learning uses a decision tree as a predictive model to go from observations about an item (represented in the branches) to conclusions about the item's target value (represented in the leaves). It is one of the predictive modeling approaches used in statistics, data mining, and machine learning. Tree models where the target variable can take a discrete set of values are called classification trees; in these tree structures, leaves represent class labels and branches represent conjunctions of features that lead to those class labels. Decision trees where the target variable can take continuous values (typically real numbers) are called regression trees. In decision analysis, a decision tree can be used to visually and explicitly represent decisions and decision making. In data mining, a decision tree describes data, but the resulting classification tree can be an input for decision making. Support vector machines Main article: Support vector machines Support vector machines (SVMs), also known as support vector networks, are a set of related supervised learning methods used for classification and regression. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that predicts whether a new example falls into one category or the other.[69] An SVM training algorithm is a non-probabilistic, binary, linear classifier, although methods such as Platt scaling exist to use SVM in a probabilistic classification setting. In addition to performing linear classification, SVMs can efficiently perform a non-linear classification using what is called the kernel trick, implicitly mapping their inputs into high-dimensional feature spaces. Illustration of linear regression on a data set. Regression analysis Main article: Regression analysis Regression analysis encompasses a large variety of statistical methods to estimate the relationship between input variables and their associated features. Its most common form is linear regression, where a single line is drawn to best fit the given data according to a mathematical criterion such as ordinary least squares. The latter is often extended by regularization (mathematics) methods to mitigate overfitting and bias, as in ridge regression. When dealing with non-linear problems, go-to models include polynomial regression (for example, used for trendline fitting in Microsoft Excel[70]), logistic regression (often used in statistical classification) or even kernel regression, which introduces non-linearity by taking advantage of the kernel trick to implicitly map input variables to higher-dimensional space. Bayesian networks Main article: Bayesian network A simple Bayesian network. Rain influences whether the sprinkler is activated, and both rain and the sprinkler influence whether the grass is wet. A Bayesian network, belief network, or directed acyclic graphical model is a probabilistic graphical model that represents a set of random variables and their conditional independence with a directed acyclic graph (DAG). For example, a Bayesian network could represent the probabilistic relationships between diseases and symptoms. Given symptoms, the network can be used to compute the probabilities of the presence of various diseases. Efficient algorithms exist that perform inference and learning. Bayesian networks that model sequences of variables, like speech signals or protein sequences, are called dynamic Bayesian networks. Generalizations of Bayesian networks that can represent and solve decision problems under uncertainty are called influence diagrams. Genetic algorithms Main article: Genetic algorithm A genetic algorithm (GA) is a search algorithm and heuristic technique that mimics the process of natural selection, using methods such as mutation and crossover to generate new genotypes in the hope of finding good solutions to a given problem. In machine learning, genetic algorithms were used in the 1980s and 1990s.[71][72] Conversely, machine learning techniques have been used to improve the performance of genetic and evolutionary algorithms.[73] Training models Usually, machine learning models require a lot of data in order for them to perform well. Usually, when training a machine learning model, one needs to collect a large, representative sample of data from a training set. Data from the training set can be as varied as a corpus of text, a collection of images, and data collected from individual users of a service. Overfitting is something to watch out for when training a machine learning model. Federated learning Main article: Federated learning Federated learning is an adapted form of distributed artificial intelligence to training machine learning models that decentralizes the training process, allowing for users' privacy to be maintained by not needing to send their data to a centralized server. This also increases efficiency by decentralizing the training process to many devices. For example, Gboard uses federated machine learning to train search query prediction models on users' mobile phones without having to send individual searches back to Google.[74] Applications There are many applications for machine learning, including: Agriculture Anatomy Adaptive websites Affective computing Banking Bioinformatics Brain–machine interfaces Cheminformatics Citizen science Computer networks Computer vision Credit-card fraud detection Data quality DNA sequence classification Economics Financial market analysis[75] General game playing Handwriting recognition Information retrieval Insurance Internet fraud detection Linguistics Machine learning control Machine perception Machine translation Marketing Medical diagnosis Natural language processing Natural language understanding Online advertising Optimization Recommender systems Robot locomotion Search engines Sentiment analysis Sequence mining Software engineering Speech recognition Structural health monitoring Syntactic pattern recognition Telecommunication Theorem proving Time series forecasting User behavior analytics In 2006, the media-services provider Netflix held the first "Netflix Prize" competition to find a program to better predict user preferences and improve the accuracy of its existing Cinematch movie recommendation algorithm by at least 10%. A joint team made up of researchers from AT&T Labs-Research in collaboration with the teams Big Chaos and Pragmatic Theory built an ensemble model to win the Grand Prize in 2009 for $1 million.[76] Shortly after the prize was awarded, Netflix realized that viewers' ratings were not the best indicators of their viewing patterns ("everything is a recommendation") and they changed their recommendation engine accordingly.[77] In 2010 The Wall Street Journal wrote about the firm Rebellion Research and their use of machine learning to predict the financial crisis.[78] In 2012, co-founder of Sun Microsystems, Vinod Khosla, predicted that 80% of medical doctors' jobs would be lost in the next two decades to automated machine learning medical diagnostic software.[79] In 2014, it was reported that a machine learning algorithm had been applied in the field of art history to study fine art paintings and that it may have revealed previously unrecognized influences among artists.[80] In 2019 Springer Nature published the first research book created using machine learning.[81] Limitations Although machine learning has been transformative in some fields, machine-learning programs often fail to deliver expected results.[82][83][84] Reasons for this are numerous: lack of (suitable) data, lack of access to the data, data bias, privacy problems, badly chosen tasks and algorithms, wrong tools and people, lack of resources, and evaluation problems.[85] In 2018, a self-driving car from Uber failed to detect a pedestrian, who was killed after a collision.[86] Attempts to use machine learning in healthcare with the IBM Watson system failed to deliver even after years of time and billions of dollars invested.[87][88] Bias Main article: Algorithmic bias Machine learning approaches in particular can suffer from different data biases. A machine learning system trained on current customers only may not be able to predict the needs of new customer groups that are not represented in the training data. When trained on man-made data, machine learning is likely to pick up the same constitutional and unconscious biases already present in society.[89] Language models learned from data have been shown to contain human-like biases.[90][91] Machine learning systems used for criminal risk assessment have been found to be biased against black people.[92][93] In 2015, Google photos would often tag black people as gorillas,[94] and in 2018 this still was not well resolved, but Google reportedly was still using the workaround to remove all gorillas from the training data, and thus was not able to recognize real gorillas at all.[95] Similar issues with recognizing non-white people have been found in many other systems.[96] In 2016, Microsoft tested a chatbot that learned from Twitter, and it quickly picked up racist and sexist language.[97] Because of such challenges, the effective use of machine learning may take longer to be adopted in other domains.[98] Concern for fairness in machine learning, that is, reducing bias in machine learning and propelling its use for human good is increasingly expressed by artificial intelligence scientists, including Fei-Fei Li, who reminds engineers that "There’s nothing artificial about AI...It’s inspired by people, it’s created by people, and—most importantly—it impacts people. It is a powerful tool we are only just beginning to understand, and that is a profound responsibility.”[99] Model assessments Classification of machine learning models can be validated by accuracy estimation techniques like the holdout method, which splits the data in a training and test set (conventionally 2/3 training set and 1/3 test set designation) and evaluates the performance of the training model on the test set. In comparison, the K-fold-cross-validation method randomly partitions the data into K subsets and then K experiments are performed each respectively considering 1 subset for evaluation and the remaining K-1 subsets for training the model. In addition to the holdout and cross-validation methods, bootstrap, which samples n instances with replacement from the dataset, can be used to assess model accuracy.[100] In addition to overall accuracy, investigators frequently report sensitivity and specificity meaning True Positive Rate (TPR) and True Negative Rate (TNR) respectively. Similarly, investigators sometimes report the false positive rate (FPR) as well as the false negative rate (FNR). However, these rates are ratios that fail to reveal their numerators and denominators. The total operating characteristic (TOC) is an effective method to express a model's diagnostic ability. TOC shows the numerators and denominators of the previously mentioned rates, thus TOC provides more information than the commonly used receiver operating characteristic (ROC) and ROC's associated area under the curve (AUC).[101] Ethics Machine learning poses a host of ethical questions. Systems which are trained on datasets collected with biases may exhibit these biases upon use (algorithmic bias), thus digitizing cultural prejudices.[102] For example, using job hiring data from a firm with racist hiring policies may lead to a machine learning system duplicating the bias by scoring job applicants against similarity to previous successful applicants.[103][104] Responsible collection of data and documentation of algorithmic rules used by a system thus is a critical part of machine learning. Because human languages contain biases, machines trained on language corpora will necessarily also learn these biases.[105][106] Other forms of ethical challenges, not related to personal biases, are more seen in health care. There are concerns among health care professionals that these systems might not be designed in the public's interest but as income-generating machines. This is especially true in the United States where there is a long-standing ethical dilemma of improving health care, but also increasing profits. For example, the algorithms could be designed to provide patients with unnecessary tests or medication in which the algorithm's proprietary owners hold stakes. There is huge potential for machine learning in health care to provide professionals a great tool to diagnose, medicate, and even plan recovery paths for patients, but this will not happen until the personal biases mentioned previously, and these "greed" biases are addressed.[107] Hardware Since the 2010s, advances in both machine learning algorithms and computer hardware have led to more efficient methods for training deep neural networks (a particular narrow subdomain of machine learning) that contain many layers of non-linear hidden units.[108] By 2019, graphic processing units (GPUs), often with AI-specific enhancements, had displaced CPUs as the dominant method of training large-scale commercial cloud AI.[109] OpenAI estimated the hardware compute used in the largest deep learning projects from AlexNet (2012) to AlphaZero (2017), and found a 300,000-fold increase in the amount of compute required, with a doubling-time trendline of 3.4 months.[110][111] Software Software suites containing a variety of machine learning algorithms include the following: Free and open-source so
sanusanth /
What is C#? C# is pronounced "C-Sharp". It is an object-oriented programming language created by Microsoft that runs on the .NET Framework. C# has roots from the C family, and the language is close to other popular languages like C++ and Java. The first version was released in year 2002. The latest version, C# 8, was released in September 2019. C# is a modern object-oriented programming language developed in 2000 by Anders Hejlsberg, the principal designer and lead architect at Microsoft. It is pronounced as "C-Sharp," inspired by the musical notation “♯” which stands for a note with a slightly higher pitch. As it’s considered an incremental compilation of the C++ language, the name C “sharp” seemed most appropriate. The sharp symbol, however, has been replaced by the keyboard friendly “#” as a suffix to “C” for purposes of programming. Although the code is very similar to C++, C# is newer and has grown fast with extensive support from Microsoft. The fact that it’s so similar to Java syntactically helps explain why it has emerged as one of the most popular programming languages today. C# is pronounced "C-Sharp". It is an object-oriented programming language created by Microsoft that runs on the .NET Framework. C# has roots from the C family, and the language is close to other popular languages like C++ and Java. The first version was released in year 2002. The latest version, C# 8, was released in September 2019. C# is used for: Mobile applications Desktop applications Web applications Web services Web sites Games VR Database applications And much, much more! An Introduction to C# Programming C# is a general-purpose, object-oriented programming language that is structured and easy to learn. It runs on Microsoft’s .Net Framework and can be compiled on a variety of computer platforms. As the syntax is simple and easy to learn, developers familiar with C, C++, or Java have found a comfort zone within C#. C# is a boon for developers who want to build a wide range of applications on the .NET Framework—Windows applications, Web applications, and Web services—in addition to building mobile apps, Windows Store apps, and enterprise software. It is thus considered a powerful programming language and features in every developer’s cache of tools. Although first released in 2002, when it was introduced with .NET Framework 1.0, the C# language has evolved a great deal since then. The most recent version is C# 8.0, available in preview as part of Visual Studio. To get access to all of the new language features, you would need to install the latest preview version of .NET Core 3.0. C# is used for: Mobile applications Desktop applications Web applications Web services Web sites Games VR Database applications And much, much more! Why Use C#? It is one of the most popular programming language in the world It is easy to learn and simple to use It has a huge community support C# is an object oriented language which gives a clear structure to programs and allows code to be reused, lowering development costs. As C# is close to C, C++ and Java, it makes it easy for programmers to switch to C# or vice versa. The C# Environment You need the .NET Framework and an IDE (integrated development environment) to work with the C# language. The .NET Framework The .NET Framework platform of the Windows OS is required to write web and desktop-based applications using not only C# but also Visual Basic and Jscript, as the platform provides language interoperability. Besides, the .Net Framework allows C# to communicate with any of the other common languages, such as C++, Jscript, COBOL, and so on. IDEs Microsoft provides various IDEs for C# programming: Visual Studio 2010 (VS) Visual Studio Express Visual Web Developer Visual Studio Code (VSC) The C# source code files can be written using a basic text editor, like Notepad, and compiled using the command-line compiler of the .NET Framework. Alternative open-source versions of the .Net Framework can work on other operating systems as well. For instance, the Mono has a C# compiler and runs on several operating systems, including Linux, Mac, Android, BSD, iOS, Windows, Solaris, and UNIX. This brings enhanced development tools to the developer. As C# is part of the .Net Framework platform, it has access to its enormous library of codes and components, such as Common Language Runtime (CLR), the .Net Framework Class Library, Common Language Specification, Common Type System, Metadata and Assemblies, Windows Forms, ASP.Net and ASP.Net AJAX, Windows Workflow Foundation (WF), Windows Communication Foundation (WCF), and LINQ. C# and Java C# and Java are high-level programming languages that share several similarities (as well as many differences). They are both object-oriented languages much influenced by C++. But while C# is suitable for application development in the Microsoft ecosystem from the front, Java is considered best for client-side web applications. Also, while C# has many tools for programming, Java has a larger arsenal of tools to choose from in IDEs and Text Editors. C# is used for virtual reality projects like games, mobile, and web applications. It is built specifically for Microsoft platforms and several non-Microsoft-based operating systems, like the Mono Project that works with Linux and OS X. Java is used for creating messaging applications and developing web-based and enterprise-based applications in open-source ecosystems. Both C# and Java support arrays. However, each language uses them differently. In C#, arrays are a specialization of the system; in Java, they are a direct specialization of the object. The C# programming language executes on the CLR. The source code is interpreted into bytecode, which is further compiled by the CLR. Java runs on any platform with the assistance of JRE (Java Runtime Environment). The written source code is first compiled into bytecode and then converted into machine code to be executed on a JRE. C# and C++ Although C# and C++ are both C-based languages with similar code, there are some differences. For one, C# is considered a component-oriented programming language, while C++ is a partial object-oriented language. Also, while both languages are compiled languages, C# compiles to CLR and is interpreted by.NET, but C++ compiles to machine code. The size of binaries in C# is much larger than in C++. Other differences between the two include the following: C# gives compiler errors and warnings, but C++ doesn’t support warnings, which may cause damage to the OS. C# runs in a virtual machine for automatic memory management. C++ requires you to manage memory manually. C# can create Windows, .NET, web, desktop, and mobile applications, but not stand-alone apps. C++ can create server-side, stand-alone, and console applications as it can work directly with the hardware. C++ can be used on any platform, while C# is targeted toward Windows OS. Generally, C++ being faster than C#, the former is preferred for applications where performance is essential. Features of C# The C# programming language has many features that make it more useful and unique when compared to other languages, including: Object-oriented language Being object-oriented, C# allows the creation of modular applications and reusable codes, an advantage over C++. As an object-oriented language, C# makes development and maintenance easier when project size grows. It supports all three object-oriented features: data encapsulation, inheritance, interfaces, and polymorphism. Simplicity C# is a simple language with a structured approach to problem-solving. Unsafe operations, like direct memory manipulation, are not allowed. Speed The compilation and execution time in C# is very powerful and fast. A Modern programming language C# programming is used for building scalable and interoperable applications with support for modern features like automatic garbage collection, error handling, debugging, and robust security. It has built-in support for a web service to be invoked from any app running on any platform. Type-safe Arrays and objects are zero base indexed and bound checked. There is an automatic checking of the overflow of types. The C# type safety instances support robust programming. Interoperability Language interoperability of C# maximizes code reuse for the efficiency of the development process. C# programs can work upon almost anything as a program can call out any native API. Consistency Its unified type system enables developers to extend the type system simply and easily for consistent behavior. Updateable C# is automatically updateable. Its versioning support enables complex frameworks to be developed and evolved. Component oriented C# supports component-oriented programming through the concepts of properties, methods, events, and attributes for self-contained and self-describing components of functionality for robust and scalable applications. Structured Programming Language The structured design and modularization in C# break a problem into parts, using functions for easy implementation to solve significant problems. Rich Library C# has a standard library with many inbuilt functions for easy and fast development. Prerequisites for Learning C# Basic knowledge of C or C++ or any programming language or programming fundamentals. Additionally, the OOP concept makes for a short learning curve of C#. Advantages of C# There are many advantages to the C# language that makes it a useful programming language compared to other languages like Java, C, or C++. These include: Being an object-oriented language, C# allows you to create modular, maintainable applications and reusable codes Familiar syntax Easy to develop as it has a rich class of libraries for smooth implementation of functions Enhanced integration as an application written in .NET will integrate and interpret better when compared to other NET technologies As C# runs on CLR, it makes it easy to integrate with components written in other languages It’s safe, with no data loss as there is no type-conversion so that you can write secure codes The automatic garbage collection keeps the system clean and doesn’t hang it during execution As your machine has to install the .NET Framework to run C#, it supports cross-platform Strong memory backup prevents memory leakage Programming support of the Microsoft ecosystem makes development easy and seamless Low maintenance cost, as C# can develop iOS, Android, and Windows Phone native apps The syntax is similar to C, C++, and Java, which makes it easier to learn and work with C# Useful as it can develop iOS, Android, and Windows Phone native apps with the Xamarin Framework C# is the most powerful programming language for the .NET Framework Fast development as C# is open source steered by Microsoft with access to open source projects and tools on Github, and many active communities contributing to the improvement What Can C Sharp Do for You? C# can be used to develop a wide range of: Windows client applications Windows libraries and components Windows services Web applications Native iOS and Android mobile apps Azure cloud applications and services Gaming consoles and gaming systems Video and virtual reality games Interoperability software like SharePoint Enterprise software Backend services and database programs AI and ML applications Distributed applications Hardware-level programming Virus and malware software GUI-based applications IoT devices Blockchain and distributed ledger technology C# Programming for Beginners: Introduction, Features and Applications By Simplilearn Last updated on Jan 20, 2020674 C# Programming for Beginners As a programmer, you’re motivated to master the most popular languages that will give you an edge in your career. There’s a vast number of programming languages that you can learn, but how do you know which is the most useful? If you know C and C++, do you need to learn C# as well? How similar is C# to Java? Does it become more comfortable for you to learn C# if you already know Java? Every developer and wannabe programmer asks these types of questions. So let us explore C# programming: how it evolved as an extension of C and why you need to learn it as a part of the Master’s Program in integrated DevOps for server-side execution. Are you a web developer or someone interested to build a website? Enroll for the Javascript Certification Training. Check out the course preview now! What is C#? C# is a modern object-oriented programming language developed in 2000 by Anders Hejlsberg, the principal designer and lead architect at Microsoft. It is pronounced as "C-Sharp," inspired by the musical notation “♯” which stands for a note with a slightly higher pitch. As it’s considered an incremental compilation of the C++ language, the name C “sharp” seemed most appropriate. The sharp symbol, however, has been replaced by the keyboard friendly “#” as a suffix to “C” for purposes of programming. Although the code is very similar to C++, C# is newer and has grown fast with extensive support from Microsoft. The fact that it’s so similar to Java syntactically helps explain why it has emerged as one of the most popular programming languages today. An Introduction to C# Programming C# is a general-purpose, object-oriented programming language that is structured and easy to learn. It runs on Microsoft’s .Net Framework and can be compiled on a variety of computer platforms. As the syntax is simple and easy to learn, developers familiar with C, C++, or Java have found a comfort zone within C#. C# is a boon for developers who want to build a wide range of applications on the .NET Framework—Windows applications, Web applications, and Web services—in addition to building mobile apps, Windows Store apps, and enterprise software. It is thus considered a powerful programming language and features in every developer’s cache of tools. Although first released in 2002, when it was introduced with .NET Framework 1.0, the C# language has evolved a great deal since then. The most recent version is C# 8.0, available in preview as part of Visual Studio. To get access to all of the new language features, you would need to install the latest preview version of .NET Core 3.0. The C# Environment You need the .NET Framework and an IDE (integrated development environment) to work with the C# language. The .NET Framework The .NET Framework platform of the Windows OS is required to write web and desktop-based applications using not only C# but also Visual Basic and Jscript, as the platform provides language interoperability. Besides, the .Net Framework allows C# to communicate with any of the other common languages, such as C++, Jscript, COBOL, and so on. IDEs Microsoft provides various IDEs for C# programming: Visual Studio 2010 (VS) Visual Studio Express Visual Web Developer Visual Studio Code (VSC) The C# source code files can be written using a basic text editor, like Notepad, and compiled using the command-line compiler of the .NET Framework. Alternative open-source versions of the .Net Framework can work on other operating systems as well. For instance, the Mono has a C# compiler and runs on several operating systems, including Linux, Mac, Android, BSD, iOS, Windows, Solaris, and UNIX. This brings enhanced development tools to the developer. As C# is part of the .Net Framework platform, it has access to its enormous library of codes and components, such as Common Language Runtime (CLR), the .Net Framework Class Library, Common Language Specification, Common Type System, Metadata and Assemblies, Windows Forms, ASP.Net and ASP.Net AJAX, Windows Workflow Foundation (WF), Windows Communication Foundation (WCF), and LINQ. C# and Java C# and Java are high-level programming languages that share several similarities (as well as many differences). They are both object-oriented languages much influenced by C++. But while C# is suitable for application development in the Microsoft ecosystem from the front, Java is considered best for client-side web applications. Also, while C# has many tools for programming, Java has a larger arsenal of tools to choose from in IDEs and Text Editors. C# is used for virtual reality projects like games, mobile, and web applications. It is built specifically for Microsoft platforms and several non-Microsoft-based operating systems, like the Mono Project that works with Linux and OS X. Java is used for creating messaging applications and developing web-based and enterprise-based applications in open-source ecosystems. Both C# and Java support arrays. However, each language uses them differently. In C#, arrays are a specialization of the system; in Java, they are a direct specialization of the object. The C# programming language executes on the CLR. The source code is interpreted into bytecode, which is further compiled by the CLR. Java runs on any platform with the assistance of JRE (Java Runtime Environment). The written source code is first compiled into bytecode and then converted into machine code to be executed on a JRE. C# and C++ Although C# and C++ are both C-based languages with similar code, there are some differences. For one, C# is considered a component-oriented programming language, while C++ is a partial object-oriented language. Also, while both languages are compiled languages, C# compiles to CLR and is interpreted by.NET, but C++ compiles to machine code. The size of binaries in C# is much larger than in C++. Other differences between the two include the following: C# gives compiler errors and warnings, but C++ doesn’t support warnings, which may cause damage to the OS. C# runs in a virtual machine for automatic memory management. C++ requires you to manage memory manually. C# can create Windows, .NET, web, desktop, and mobile applications, but not stand-alone apps. C++ can create server-side, stand-alone, and console applications as it can work directly with the hardware. C++ can be used on any platform, while C# is targeted toward Windows OS. Generally, C++ being faster than C#, the former is preferred for applications where performance is essential. Features of C# The C# programming language has many features that make it more useful and unique when compared to other languages, including: Object-oriented language Being object-oriented, C# allows the creation of modular applications and reusable codes, an advantage over C++. As an object-oriented language, C# makes development and maintenance easier when project size grows. It supports all three object-oriented features: data encapsulation, inheritance, interfaces, and polymorphism. Simplicity C# is a simple language with a structured approach to problem-solving. Unsafe operations, like direct memory manipulation, are not allowed. Speed The compilation and execution time in C# is very powerful and fast. A Modern programming language C# programming is used for building scalable and interoperable applications with support for modern features like automatic garbage collection, error handling, debugging, and robust security. It has built-in support for a web service to be invoked from any app running on any platform. Type-safe Arrays and objects are zero base indexed and bound checked. There is an automatic checking of the overflow of types. The C# type safety instances support robust programming. Interoperability Language interoperability of C# maximizes code reuse for the efficiency of the development process. C# programs can work upon almost anything as a program can call out any native API. Consistency Its unified type system enables developers to extend the type system simply and easily for consistent behavior. Updateable C# is automatically updateable. Its versioning support enables complex frameworks to be developed and evolved. Component oriented C# supports component-oriented programming through the concepts of properties, methods, events, and attributes for self-contained and self-describing components of functionality for robust and scalable applications. Structured Programming Language The structured design and modularization in C# break a problem into parts, using functions for easy implementation to solve significant problems. Rich Library C# has a standard library with many inbuilt functions for easy and fast development. Full Stack Java Developer Course The Gateway to Master Web DevelopmentEXPLORE COURSEFull Stack Java Developer Course Prerequisites for Learning C# Basic knowledge of C or C++ or any programming language or programming fundamentals. Additionally, the OOP concept makes for a short learning curve of C#. Advantages of C# There are many advantages to the C# language that makes it a useful programming language compared to other languages like Java, C, or C++. These include: Being an object-oriented language, C# allows you to create modular, maintainable applications and reusable codes Familiar syntax Easy to develop as it has a rich class of libraries for smooth implementation of functions Enhanced integration as an application written in .NET will integrate and interpret better when compared to other NET technologies As C# runs on CLR, it makes it easy to integrate with components written in other languages It’s safe, with no data loss as there is no type-conversion so that you can write secure codes The automatic garbage collection keeps the system clean and doesn’t hang it during execution As your machine has to install the .NET Framework to run C#, it supports cross-platform Strong memory backup prevents memory leakage Programming support of the Microsoft ecosystem makes development easy and seamless Low maintenance cost, as C# can develop iOS, Android, and Windows Phone native apps The syntax is similar to C, C++, and Java, which makes it easier to learn and work with C# Useful as it can develop iOS, Android, and Windows Phone native apps with the Xamarin Framework C# is the most powerful programming language for the .NET Framework Fast development as C# is open source steered by Microsoft with access to open source projects and tools on Github, and many active communities contributing to the improvement What Can C Sharp Do for You? C# can be used to develop a wide range of: Windows client applications Windows libraries and components Windows services Web applications Native iOS and Android mobile apps Azure cloud applications and services Gaming consoles and gaming systems Video and virtual reality games Interoperability software like SharePoint Enterprise software Backend services and database programs AI and ML applications Distributed applications Hardware-level programming Virus and malware software GUI-based applications IoT devices Blockchain and distributed ledger technology Who Should Learn the C# Programming Language and Why? C# is one of the most popular programming languages as it can be used for a variety of applications: mobile apps, game development, and enterprise software. What’s more, the C# 8.0 version is packed with several new features and enhancements to the C# language that can change the way developers write their C# code. The most important new features available are ‘null reference types,’ enhanced ‘pattern matching,’ and ‘async streams’ that help you to write more reliable and readable code. As you’re exposed to the fundamental programming concepts of C# in this course, you can work on projects that open the doors for you as a Full Stack Java Developer. So, upskill and master the C# language for a faster career trajectory and salary scope.
68/100 healthmercerheather476 /
 [](https://search.maven.org/search?q=g:net.openid%20appauth) [](http://javadoc.io/doc/net.openid/appauth) [](https://github.com/openid/AppAuth-Android/actions/workflows/build.yml) [](https://codecov.io/github/openid/AppAuth-Android?branch=master) AppAuth for Android is a client SDK for communicating with [OAuth 2.0](https://tools.ietf.org/html/rfc6749) and [OpenID Connect](http://openid.net/specs/openid-connect-core-1_0.html) providers. It strives to directly map the requests and responses of those specifications, while following the idiomatic style of the implementation language. In addition to mapping the raw protocol flows, convenience methods are available to assist with common tasks like performing an action with fresh tokens. The library follows the best practices set out in [RFC 8252 - OAuth 2.0 for Native Apps](https://tools.ietf.org/html/rfc8252), including using [Custom Tabs](https://developer.chrome.com/multidevice/android/customtabs) for authorization requests. For this reason, `WebView` is explicitly *not* supported due to usability and security reasons. The library also supports the [PKCE](https://tools.ietf.org/html/rfc7636) extension to OAuth which was created to secure authorization codes in public clients when custom URI scheme redirects are used. The library is friendly to other extensions (standard or otherwise) with the ability to handle additional parameters in all protocol requests and responses. A talk providing an overview of using the library for enterprise single sign-on (produced by Google) can be found here: [Enterprise SSO with Chrome Custom Tabs](https://www.youtube.com/watch?v=DdQTXrk6YTk). ## Download AppAuth for Android is available on [MavenCentral](https://search.maven.org/search?q=g:net.openid%20appauth) ```groovy implementation 'net.openid:appauth:<version>' ``` ## Requirements AppAuth supports Android API 16 (Jellybean) and above. Browsers which provide a custom tabs implementation are preferred by the library, but not required. Both Custom URI Schemes (all supported versions of Android) and App Links (Android M / API 23+) can be used with the library. In general, AppAuth can work with any Authorization Server (AS) that supports native apps as documented in [RFC 8252](https://tools.ietf.org/html/rfc8252), either through custom URI scheme redirects, or App Links. AS's that assume all clients are web-based or require clients to maintain confidentiality of the client secrets may not work well. ## Demo app A demo app is contained within this repository. For instructions on how to build and configure this app, see the [demo app readme](https://github.com/openid/AppAuth-Android/blob/master/app/README.md). ## Conceptual overview AppAuth encapsulates the authorization state of the user in the [net.openid.appauth.AuthState](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/AuthState.java) class, and communicates with an authorization server through the use of the [net.openid.appauth.AuthorizationService](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/AuthorizationService.java) class. AuthState is designed to be easily persistable as a JSON string, using the storage mechanism of your choice (e.g. [SharedPreferences](https://developer.android.com/training/basics/data-storage/shared-preferences.html), [sqlite](https://developer.android.com/training/basics/data-storage/databases.html), or even just [in a file](https://developer.android.com/training/basics/data-storage/files.html)). AppAuth provides data classes which are intended to model the OAuth2 specification as closely as possible; this provides the greatest flexibility in interacting with a wide variety of OAuth2 and OpenID Connect implementations. Authorizing the user occurs via the user's web browser, and the request is described using instances of [AuthorizationRequest](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/AuthorizationRequest.java). The request is dispatched using [performAuthorizationRequest()](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/AuthorizationService.java#L159) on an AuthorizationService instance, and the response (an [AuthorizationResponse](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/AuthorizationResponse.java) instance) will be dispatched to the activity of your choice, expressed via an Intent. Token requests, such as obtaining a new access token using a refresh token, follow a similar pattern: [TokenRequest](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/TokenRequest.java) instances are dispatched using [performTokenRequest()](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/AuthorizationService.java#L252) on an AuthorizationService instance, and a [TokenResponse](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/TokenResponse.java) instance is returned via a callback. Responses can be provided to the [update()](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/AuthState.java#L367) methods on AuthState in order to track and persist changes to the authorization state. Once in an authorized state, the [performActionWithFreshTokens()](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/AuthState.java#L449) method on AuthState can be used to automatically refresh access tokens as necessary before performing actions that require valid tokens. ## Implementing the authorization code flow It is recommended that native apps use the [authorization code](https://tools.ietf.org/html/rfc6749#section-1.3.1) flow with a public client to gain authorization to access user data. This has the primary advantage for native clients that the authorization flow, which must occur in a browser, only needs to be performed once. This flow is effectively composed of four stages: 1. Discovering or specifying the endpoints to interact with the provider. 2. Authorizing the user, via a browser, in order to obtain an authorization code. 3. Exchanging the authorization code with the authorization server, to obtain a refresh token and/or ID token. 4. Using access tokens derived from the refresh token to interact with a resource server for further access to user data. At each step of the process, an AuthState instance can (optionally) be updated with the result to help with tracking the state of the flow. ### Authorization service configuration First, AppAuth must be instructed how to interact with the authorization service. This can be done either by directly creating an [AuthorizationServiceConfiguration](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/AuthorizationServiceConfiguration.java#L102) instance, or by retrieving an OpenID Connect discovery document. Directly specifying an AuthorizationServiceConfiguration involves providing the URIs of the authorization endpoint and token endpoint, and optionally a dynamic client registration endpoint (see "Dynamic client registration" for more info): ```java AuthorizationServiceConfiguration serviceConfig = new AuthorizationServiceConfiguration( Uri.parse("https://idp.example.com/auth"), // authorization endpoint Uri.parse("https://idp.example.com/token")); // token endpoint ``` Where available, using an OpenID Connect discovery document is preferable: ```java AuthorizationServiceConfiguration.fetchFromIssuer( Uri.parse("https://idp.example.com"), new AuthorizationServiceConfiguration.RetrieveConfigurationCallback() { public void onFetchConfigurationCompleted( @Nullable AuthorizationServiceConfiguration serviceConfiguration, @Nullable AuthorizationException ex) { if (ex != null) { Log.e(TAG, "failed to fetch configuration"); return; } // use serviceConfiguration as needed } }); ``` This will attempt to download a discovery document from the standard location under this base URI, `https://idp.example.com/.well-known/openid-configuration`. If the discovery document for your IDP is in some other non-standard location, you can instead provide the full URI as follows: ```java AuthorizationServiceConfiguration.fetchFromUrl( Uri.parse("https://idp.example.com/exampletenant/openid-config"), new AuthorizationServiceConfiguration.RetrieveConfigurationCallback() { ... } }); ``` If desired, this configuration can be used to seed an AuthState instance, to persist the configuration easily: ```java AuthState authState = new AuthState(serviceConfig); ``` ### Obtaining an authorization code An authorization code can now be acquired by constructing an AuthorizationRequest, using its Builder. In AppAuth, the builders for each data class accept the mandatory parameters via the builder constructor: ```java AuthorizationRequest.Builder authRequestBuilder = new AuthorizationRequest.Builder( serviceConfig, // the authorization service configuration MY_CLIENT_ID, // the client ID, typically pre-registered and static ResponseTypeValues.CODE, // the response_type value: we want a code MY_REDIRECT_URI); // the redirect URI to which the auth response is sent ``` Other optional parameters, such as the OAuth2 [scope string](https://tools.ietf.org/html/rfc6749#section-3.3) or OpenID Connect [login hint](http://openid.net/specs/openid-connect-core-1_0.html#rfc.section.3.1.2.1) are specified through set methods on the builder: ```java AuthorizationRequest authRequest = authRequestBuilder .setScope("openid email profile https://idp.example.com/custom-scope") .setLoginHint("jdoe@user.example.com") .build(); ``` This request can then be dispatched using one of two approaches. a `startActivityForResult` call using an Intent returned from the `AuthorizationService`, or by calling `performAuthorizationRequest` and providing pending intent for completion and cancelation handling activities. The `startActivityForResult` approach is simpler to use but may require more processing of the result: ```java private void doAuthorization() { AuthorizationService authService = new AuthorizationService(this); Intent authIntent = authService.getAuthorizationRequestIntent(authRequest); startActivityForResult(authIntent, RC_AUTH); } @Override protected void onActivityResult(int requestCode, int resultCode, Intent data) { if (requestCode == RC_AUTH) { AuthorizationResponse resp = AuthorizationResponse.fromIntent(data); AuthorizationException ex = AuthorizationException.fromIntent(data); // ... process the response or exception ... } else { // ... } } ``` If instead you wish to directly transition to another activity on completion or cancelation, you can use `performAuthorizationRequest`: ```java AuthorizationService authService = new AuthorizationService(this); authService.performAuthorizationRequest( authRequest, PendingIntent.getActivity(this, 0, new Intent(this, MyAuthCompleteActivity.class), 0), PendingIntent.getActivity(this, 0, new Intent(this, MyAuthCanceledActivity.class), 0)); ``` The intents may be customized to carry any additional data or flags required for the correct handling of the authorization response. #### Capturing the authorization redirect Once the authorization flow is completed in the browser, the authorization service will redirect to a URI specified as part of the authorization request, providing the response via query parameters. In order for your app to capture this response, it must register with the Android OS as a handler for this redirect URI. We recommend using a custom scheme based redirect URI (i.e. those of form `my.scheme:/path`), as this is the most widely supported across all versions of Android. To avoid conflicts with other apps, it is recommended to configure a distinct scheme using "reverse domain name notation". This can either match your service web domain (in reverse) e.g. `com.example.service` or your package name `com.example.app` or be something completely new as long as it's distinct enough. Using the package name of your app is quite common but it's not always possible if it contains illegal characters for URI schemes (like underscores) or if you already have another handler for that scheme - so just use something else. When a custom scheme is used, AppAuth can be easily configured to capture all redirects using this custom scheme through a manifest placeholder: ```groovy android.defaultConfig.manifestPlaceholders = [ 'appAuthRedirectScheme': 'com.example.app' ] ``` Alternatively, the redirect URI can be directly configured by adding an intent-filter for AppAuth's RedirectUriReceiverActivity to your AndroidManifest.xml: ```xml <activity android:name="net.openid.appauth.RedirectUriReceiverActivity" tools:node="replace"> <intent-filter> <action android:name="android.intent.action.VIEW"/> <category android:name="android.intent.category.DEFAULT"/> <category android:name="android.intent.category.BROWSABLE"/> <data android:scheme="com.example.app"/> </intent-filter> </activity> ``` If an HTTPS redirect URI is required instead of a custom scheme, the same approach (modifying your AndroidManifest.xml) is used: ```xml <activity android:name="net.openid.appauth.RedirectUriReceiverActivity" tools:node="replace"> <intent-filter> <action android:name="android.intent.action.VIEW"/> <category android:name="android.intent.category.DEFAULT"/> <category android:name="android.intent.category.BROWSABLE"/> <data android:scheme="https" android:host="app.example.com" android:path="/oauth2redirect"/> </intent-filter> </activity> ``` HTTPS redirects can be secured by configuring the redirect URI as an [app link](https://developer.android.com/training/app-links/index.html) in Android M and above. We recommend that a fallback page be configured at the same address to forward authorization responses to your app via a custom scheme, for older Android devices. #### Handling the authorization response Upon completion of the authorization flow, the completion Intent provided to performAuthorizationRequest will be triggered. The authorization response is provided to this activity via Intent extra data, which can be extracted using the `fromIntent()` methods on AuthorizationResponse and AuthorizationException respectively: ```java public void onCreate(Bundle b) { AuthorizationResponse resp = AuthorizationResponse.fromIntent(getIntent()); AuthorizationException ex = AuthorizationException.fromIntent(getIntent()); if (resp != null) { // authorization completed } else { // authorization failed, check ex for more details } // ... } ``` The response can be provided to the AuthState instance for easy persistence and further processing: ``` authState.update(resp, ex); ``` If the full redirect URI is required in order to extract additional information that AppAuth does not provide, this is also provided to your activity: ```java public void onCreate(Bundle b) { // ... Uri redirectUri = getIntent().getData(); // ... } ``` ### Exchanging the authorization code Given a successful authorization response carrying an authorization code, a token request can be made to exchange the code for a refresh token: ```java authService.performTokenRequest( resp.createTokenExchangeRequest(), new AuthorizationService.TokenResponseCallback() { @Override public void onTokenRequestCompleted( TokenResponse resp, AuthorizationException ex) { if (resp != null) { // exchange succeeded } else { // authorization failed, check ex for more details } } }); ``` The token response can also be used to update an AuthState instance: ```java authState.update(resp, ex); ``` ### Using access tokens Finally, the retrieved access token can be used to interact with a resource server. This can be done directly, by extracting the access token from a token response. However, in most cases, it is simpler to use the `performActionWithFreshTokens` utility method provided by AuthState: ```java authState.performActionWithFreshTokens(service, new AuthStateAction() { @Override public void execute( String accessToken, String idToken, AuthorizationException ex) { if (ex != null) { // negotiation for fresh tokens failed, check ex for more details return; } // use the access token to do something ... } }); ``` This also updates the AuthState object with current access, id, and refresh tokens. If you are storing your AuthState in persistent storage, you should write the updated copy in the callback to this method. ### Ending current session Given you have a logged in session and you want to end it. In that case you need to get: - `AuthorizationServiceConfiguration` - valid Open Id Token that you should get after authentication - End of session URI that should be provided within you OpenId service config First you have to build EndSessionRequest ```java EndSessionRequest endSessionRequest = new EndSessionRequest.Builder(authorizationServiceConfiguration) .setIdTokenHint(idToken) .setPostLogoutRedirectUri(endSessionRedirectUri) .build(); ``` This request can then be dispatched using one of two approaches. a `startActivityForResult` call using an Intent returned from the `AuthorizationService`, or by calling `performEndSessionRequest` and providing pending intent for completion and cancelation handling activities. The startActivityForResult approach is simpler to use but may require more processing of the result: ```java private void endSession() { AuthorizationService authService = new AuthorizationService(this); Intent endSessionItent = authService.getEndSessionRequestIntent(endSessionRequest); startActivityForResult(endSessionItent, RC_END_SESSION); } @Override protected void onActivityResult(int requestCode, int resultCode, Intent data) { if (requestCode == RC_END_SESSION) { EndSessionResonse resp = EndSessionResonse.fromIntent(data); AuthorizationException ex = AuthorizationException.fromIntent(data); // ... process the response or exception ... } else { // ... } } ``` If instead you wish to directly transition to another activity on completion or cancelation, you can use `performEndSessionRequest`: ```java AuthorizationService authService = new AuthorizationService(this); authService.performEndSessionRequest( endSessionRequest, PendingIntent.getActivity(this, 0, new Intent(this, MyAuthCompleteActivity.class), 0), PendingIntent.getActivity(this, 0, new Intent(this, MyAuthCanceledActivity.class), 0)); ``` End session flow will also work involving browser mechanism that is described in authorization mechanism session. Handling response mechanism with transition to another activity should be as follows: ```java public void onCreate(Bundle b) { EndSessionResponse resp = EndSessionResponse.fromIntent(getIntent()); AuthorizationException ex = AuthorizationException.fromIntent(getIntent()); if (resp != null) { // authorization completed } else { // authorization failed, check ex for more details } // ... } ``` ### AuthState persistence Instances of `AuthState` keep track of the authorization and token requests and responses. This is the only object that you need to persist to retain the authorization state of the session. Typically, one would do this by storing the authorization state in SharedPreferences or some other persistent store private to the app: ```java @NonNull public AuthState readAuthState() { SharedPreferences authPrefs = getSharedPreferences("auth", MODE_PRIVATE); String stateJson = authPrefs.getString("stateJson", null); if (stateJson != null) { return AuthState.jsonDeserialize(stateJson); } else { return new AuthState(); } } public void writeAuthState(@NonNull AuthState state) { SharedPreferences authPrefs = getSharedPreferences("auth", MODE_PRIVATE); authPrefs.edit() .putString("stateJson", state.jsonSerializeString()) .apply(); } ``` The demo app has an [AuthStateManager](https://github.com/openid/AppAuth-Android/blob/master/app/java/net/openid/appauthdemo/AuthStateManager.java) type which demonstrates this in more detail. ## Advanced configuration AppAuth provides some advanced configuration options via [AppAuthConfiguration](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/AppAuthConfiguration.java) instances, which can be provided to [AuthorizationService](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/AuthorizationService.java) during construction. ### Controlling which browser is used for authorization Some applications require explicit control over which browsers can be used for authorization - for example, to require that Chrome be used for second factor authentication to work, or require that some custom browser is used for authentication in an enterprise environment. Control over which browsers can be used can be achieved by defining a [BrowserMatcher](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/browser/BrowserMatcher.java), and supplying this to the builder of AppAuthConfiguration. A BrowserMatcher is suppled with a [BrowserDescriptor](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/browser/BrowserDescriptor.java) instance, and must decide whether this browser is permitted for the authorization flow. By default, [AnyBrowserMatcher](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/browser/AnyBrowserMatcher.java) is used. For your convenience, utility classes to help define a browser matcher are provided, such as: - [Browsers](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/browser/Browsers.java): contains a set of constants for the official package names and signatures of Chrome, Firefox and Samsung SBrowser. - [VersionedBrowserMatcher](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/browser/VersionedBrowserMatcher.java): will match a browser if it has a matching package name and signature, and a version number within a defined [VersionRange](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/browser/VersionRange.java). This class also provides some static instances for matching Chrome, Firefox and Samsung SBrowser. - [BrowserAllowList](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/browser/BrowserAllowList.java): takes a list of BrowserMatcher instances, and will match a browser if any of these child BrowserMatcher instances signals a match. - [BrowserDenyList](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/browser/BrowserDenyList.java): the inverse of BrowserAllowList - takes a list of browser matcher instances, and will match a browser if it _does not_ match any of these child BrowserMatcher instances. For instance, in order to restrict the authorization flow to using Chrome or SBrowser as a custom tab: ```java AppAuthConfiguration appAuthConfig = new AppAuthConfiguration.Builder() .setBrowserMatcher(new BrowserAllowList( VersionedBrowserMatcher.CHROME_CUSTOM_TAB, VersionedBrowserMatcher.SAMSUNG_CUSTOM_TAB)) .build(); AuthorizationService authService = new AuthorizationService(context, appAuthConfig); ``` Or, to prevent the use of a buggy version of the custom tabs in Samsung SBrowser: ```java AppAuthConfiguration appAuthConfig = new AppAuthConfiguration.Builder() .setBrowserMatcher(new BrowserDenyList( new VersionedBrowserMatcher( Browsers.SBrowser.PACKAGE_NAME, Browsers.SBrowser.SIGNATURE_SET, true, // when this browser is used via a custom tab VersionRange.atMost("5.3") ))) .build(); AuthorizationService authService = new AuthorizationService(context, appAuthConfig); ``` ### Customizing the connection builder for HTTP requests It can be desirable to customize how HTTP connections are made when performing token requests, for instance to use [certificate pinning](https://www.owasp.org/index.php/Certificate_and_Public_Key_Pinning) or to add additional trusted certificate authorities for an enterprise environment. This can be achieved in AppAuth by providing a custom [ConnectionBuilder](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/connectivity/ConnectionBuilder.java) instance. For example, to custom the SSL socket factory used, one could do the following: ```java AppAuthConfiguration appAuthConfig = new AppAuthConfiguration.Builder() .setConnectionBuilder(new ConnectionBuilder() { public HttpURLConnection openConnect(Uri uri) throws IOException { URL url = new URL(uri.toString()); HttpURLConnection connection = (HttpURLConnection) url.openConnection(); if (connection instanceof HttpsUrlConnection) { HttpsURLConnection connection = (HttpsURLConnection) connection; connection.setSSLSocketFactory(MySocketFactory.getInstance()); } } }) .build(); ``` ### Issues with [ID Token](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/IdToken.java#L118) validation ID Token validation was introduced in `0.8.0` but not all authorization servers or configurations support it correctly. - For testing environments [setSkipIssuerHttpsCheck](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/AppAuthConfiguration.java#L129) can be used to bypass the fact the issuer needs to be HTTPS. ```java AppAuthConfiguration appAuthConfig = new AppAuthConfiguration.Builder() .setSkipIssuerHttpsCheck(true) .build() ``` - For services that don't support nonce[s] resulting in **IdTokenException** `Nonce mismatch` just set nonce to `null` on the `AuthorizationRequest`. Please consider **raising an issue** with your Identity Provider and removing this once it is fixed. ```java AuthorizationRequest authRequest = authRequestBuilder .setNonce(null) .build(); ``` ## Dynamic client registration AppAuth supports the [OAuth2 dynamic client registration protocol](https://tools.ietf.org/html/rfc7591). In order to dynamically register a client, create a [RegistrationRequest](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/RegistrationRequest.java) and dispatch it using [performRegistrationRequest](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/AuthorizationService.java#L278) on your AuthorizationService instance. The registration endpoint can either be defined directly as part of your [AuthorizationServiceConfiguration](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/AuthorizationServiceConfiguration.java), or discovered from an OpenID Connect discovery document. ```java RegistrationRequest registrationRequest = new RegistrationRequest.Builder( serviceConfig, Arrays.asList(redirectUri)) .build(); ``` Requests are dispatched with the help of `AuthorizationService`. As this request is asynchronous the response is passed to a callback: ```java service.performRegistrationRequest( registrationRequest, new AuthorizationService.RegistrationResponseCallback() { @Override public void onRegistrationRequestCompleted( @Nullable RegistrationResponse resp, @Nullable AuthorizationException ex) { if (resp != null) { // registration succeeded, store the registration response AuthState state = new AuthState(resp); //proceed to authorization... } else { // registration failed, check ex for more details } } }); ``` ## Utilizing client secrets (DANGEROUS) We _strongly recommend_ you avoid using static client secrets in your native applications whenever possible. Client secrets derived via a dynamic client registration are safe to use, but static client secrets can be easily extracted from your apps and allow others to impersonate your app and steal user data. If client secrets must be used by the OAuth2 provider you are integrating with, we strongly recommend performing the code exchange step on your backend, where the client secret can be kept hidden. Having said this, in some cases using client secrets is unavoidable. In these cases, a [ClientAuthentication](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/ClientAuthentication.java) instance can be provided to AppAuth when performing a token request. This allows additional parameters (both HTTP headers and request body parameters) to be added to token requests. Two standard implementations of ClientAuthentication are provided: - [ClientSecretBasic](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/ClientSecretBasic.java): includes a client ID and client secret as an HTTP Basic Authorization header. - [ClientSecretPost](https://github.com/openid/AppAuth-Android/blob/master/library/java/net/openid/appauth/ClientSecretPost.java): includes a client ID and client secret as additional request parameters. So, in order to send a token request using HTTP basic authorization, one would write: ```java ClientAuthentication clientAuth = new ClientSecretBasic(MY_CLIENT_SECRET); TokenRequest req = ...; authService.performTokenRequest(req, clientAuth, callback); ``` This can also be done when using `performActionWithFreshTokens` on AuthState: ```java ClientAuthentication clientAuth = new ClientSecretPost(MY_CLIENT_SECRET); authState.performActionWithFreshTokens( authService, clientAuth, action); ``` ## Modifying or contributing to AppAuth This project requires the Android SDK for API level 25 (Nougat) to build, though the produced binaries only require API level 16 (Jellybean) to be used. We recommend that you fork and/or clone this repository to make modifications; downloading the source has been known to cause some developers problems. For contributors, see the additional instructions in [CONTRIBUTING.md](https://github.com/openid/AppAuth-Android/blob/master/CONTRIBUTING.md). ### Building from the Command line AppAuth for Android uses Gradle as its build system. In order to build the library and app binaries, run `./gradlew assemble`. The library AAR files are output to `library/build/outputs/aar`, while the demo app is output to `app/build/outputs/apk`. In order to run the tests and code analysis, run `./gradlew check`. ### Building from Android Studio In AndroidStudio, File -> New -> Import project. Select the root folder (the one with the `build.gradle` file).
54/100 healthAlexGilleran /
A better class of interval training timer for Android
46/100 healthdrmfinlay /
Following the Displaying Graphics with OpenGL ES Android developer training class using Kotlin
34/100 healthtwitter-university /
An Eclipse Project of an Android application used in Marakana training classes as a demonstration of how to play audio directly to the AudioFlinger
8/100 health