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7 Ways Artificial Intelligence is Revamping the Healthcare Industry

In the present scenario, almost every industry is embracing the Artificial Intelligence and related technologies. All the industries are incorporating these high-tech innovations into their traditional processes to excel their skills and offer a higher level of excellence. And the healthcare industry is no exception.From discovering chronic diseases to streamlining communication around the clock, the Artificial Intelligence technology is revamping the healthcare service providers with ample opportunities to drive more precise, actionable and efficient services at the right moment in a patient’s care.What is Artificial Intelligence? Artificial Intelligence, in layman language, is a computing technology that mimics the human intelligence by performing almost the same processes, like reasoning, sensory understanding, learning and adaptation, and interaction.In case you find the definition difficult to digest, feel free to see this video:-Now, as you know what Artificial Intelligence is, let’s see the 7 ways how the AI can be used in the healthcare industry for better health and care solutions:Applications of Artificial Intelligence in Healthcare Sector 1. Offer Personalized Health-Related Information and Advice The prime application of AI in the healthcare sector is to offer a personalized experience to both the patients and medical specialists. The technology, with the feature to mimic the human knowledge and learn from the environment, can assist the patients by providing quick and effective answers to their queries 24/7. The AI-enabled mobile apps and machines can initiate a regular communication between the patient and care providers to ensure a higher level of care and facilities to be offered to the patient while preventing frequent hospital visits and readmission. Also, the AI based apps and tools can scan the data from pre-op medical records and guide the healthcare service provider during the surgery, which can eventually result to a 21% decrease in the patient’s hospital stay 2. Cut down the Hassle of Electronic Health Record UseThere’s no exaggeration to the fact that EHRs (Electronic Health Records) plays a significant role in the healthcare industry. But, they also result in challenges like endless documentation and cognitive overload.In this scenario, AI helps to automate the routine work and build more intuitive interfaces. The technology focuses on the three pillars of patient interaction: clinical documentation, order entry, and arranging through the in-tray, and renders better interaction possibilities via Chatbots and Virtual Assistants. 3. Discover and Mitigate with Disease OutbreaksSince the AI keeps a complete record of patient data at every point in time, the technology can also be treated as a predictor tool. It can aid the healthcare service providers to detect the infectious disease outbreaks at the earliest stage. It can be employed to examine the associated factors and unveil the right drug to cure the disease.4. Examine Health Data Using Healthcare Apps and Wearables From smartphones that track your footsteps to wearables that count your heartbeat around the clock, the AI technology is playing a considerable role in improving our daily health graph. The technology is accumulating and analyzing customer health data in real-time and providing them with actionable insights that eventually improve the quality of health and care they experience. 5. Streamline Workflow and Administrative ResponsibilitiesAnother application of Artificial Intelligence in the healthcare sector is to automate the clinical processes and other administrative tasks. The technology, as per the market predictions, is expected to save around $18 billion by enabling the AI-enabled machines to assist doctors, nurses, and performing other routine tasks. For example, the technology, using the voice-to-text feature, can help you with making chart notes, prescribe medications, and other such tasks. Besides, the technology may also look into routine requests from the inbox and sort them priority-wise, which will prevent the healthcare experts from missing any crucial information/task.One such example is Watson that helps the physicians with analyzing varied treasure trove of medical papers using NLP (Natural Processing Language) to determine the treatment plans. 6. Extend Access to Healthcare Services in Developing RegionsArtificial Intelligence is also embarking on a new phase in the healthcare industry by acting as a perfect solution to the challenge of balancing the availability of healthcare providers and the patients seeking for their services. The technology, in the form of virtual assistants and health mobile apps, is delivering the common health-related information while letting the medical practitioners respond to complex issues only. For instance, the AI imaging tools screen X-rays to check the risk of Tuberculosis, and offer a higher level of accuracy and excellence, lowering down the need for the trained medical practitioners to visit the site and diagnose the patient physically.                                                             Source: ITN Online 7. Generate Precise Analytics for Pathology ImagesAccording to Jeffrey Golden, MD. Chair of Department of Pathology at BWH, “More than 70% of all the decisions that take place in the healthcare industry are based on Pathology result.”This implies it is exceptionally crucial for the healthcare service providers to get access to the most accurate information to suggest the right diagnosis and provides exclusive care services. This is where AI helps. The Artificial Intelligence, with its potential to gather and analyze the data to the least extreme possibility in digital images, provides the healthcare experts with details that we might fail to see by our naked eyes. For example, it empowers the pathologists to know if the cancer is growing progressively or slowly. Based on its algorithms and environment interaction, it also suggests what treatment/technique should be considered for better positive outcomes. This saves their time while maintaining the quality and accuracy of the data in each individual case.ConclusionWith the growing technological advancements, Artificial Intelligence is becoming more potential and effective for improving the way healthcare processes act. However, not all are gladly welcoming the idea of integration of AI in healthcare. Many patients and healthcare service providers fear that the dearth of human oversight might result in serious health, care, and data privacy-related issues. But, in spite of such concerns, the Artificial Intelligence is redefining the healthcare industry - with its benefits overweight the risks.
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7 Ways Artificial Intelligence is Revamping the Healthcare Industry 338 7 Ways Artificial Intelligence is Revamping the Healthcare Industry Blog
Pankaj Verma 11 Oct 2018
In the present scenario, almost every industry is embracing the Artificial Intelligence and related technologies. All the industries are incorporating these high-tech innovations into their tradition...
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How Native Is Better Than Hybrid While Developing App For iOS

We are going to discuss why a native app is better than the hybrid app while developing for iOS. Let’s have a brief about iOS. It is a mobile operating system created and developed by Apple. This operating system runs the iPhone, iPad, iPod touch devices. Now, sometimes you might find hybrid better and sometimes native is better. so, which one to be chosen? But, why a native app is better than hybrid for iOS?  We need to find out the differences between the two. For this, let’s go through both technologies first.About Native AppA native application is designed for particular devices or platforms like iOS, Blackberry. These are encoded in a specified programming language such as C for iOS. The native application works fast and more efficiently. Let’s see the advantages and disadvantages of building the native application:Advantages of Native AppAdvantages of native over hybrid for developing iOS apps: Full integration of device – This app has many functionalities for mobile devices like camera, GPS, calendar and microphone. These apps give a great exposure to the user.No need for Internet connection – This is the most important feature of native apps that you don’t need an internet connection to work with.Great performance – Native apps are designed for the specific operating system so these apps have a good feature of high speed. These apps let the user connect quickly to the icons. Its look is also eye-catching.Specific UX standard – These apps follow specific UX/UI standards to create iOS applications, that is very helpful for users to understand the interface and navigation of the apps.Reliability – We can access native apps on Android or iOS through the app stores only. They are tested and reviewed by the expert team to reach the app store. This makes the app more secure and safe.Disadvantages of Native AppQuite expensive – Due to higher development and maintenance expenses, it is quite expensive. As they have specific code for each platform it kills a lot of time and it demands a highly supportive team.Rejection of approval - There is a big problem of getting rejected of the app from the app store. As it requires approval from the app store to be added to the app store database. Not sure, it will always get approval.About Hybrid App These apps work on multiple platforms like Android, iPhone and Windows phone. These hybrid applications are developed using HTML5, CSS, and JavaScript and then with the help of Cordova, it is developed in a native application.Advantages of Hybrid App: Advantages of hybrid  over native for developing iOS apps: Single hybrid framework – Yes, hybrid apps saves your time and money in developing one app that can be used for different platforms.One Codebase – one codebase will work on multiple platforms, so you need to spend your money less on developers. It can be transformed to other platforms easily. So, fewer efforts, less money, and less workforce are required to maintain it at a great speed. These apps are a cross-platform application that can be used on different platforms. Not many changes are required in operating on multi-platforms.Offline support – These apps have a different feature that allows offline work, but be careful as offline data cannot be updated.Interactive programs – Interactive programs like games and 3D animation are available in hybrid apps. More and more innovations are made to hybrid apps more frequently so these apps are good for services.Disadvantages of Hybrid App These apps are not as fast as native apps are, because they use platforms like Kendo, Ionic, and Cordova, and these platforms are known for slower speed. These days, user demands high speed, in fact, that is required too. So, if the user is not getting effective experience, quite possible, it will not be a great success.On part of UX, if we say, how UX standard is; then, these apps still need to improve their UX standard which makes it less popular.Why native app better than the hybrid?While choosing a native app for iOS, we need to see the differences between native and hybrid for iOS apps. Both have its own pros and cons, but it depends on features that make them different. So, let’s have a look at them.Comparision of native and hybrid features for iOS appsAs we have seen, Hybrid apps are cost saving, these can be transformed into different platforms easily, need fewer developers to be a team, these things seem to be very attractive but at the same time, these apps might need more time to fix some problems like UX, which makes it less effective.Whereas, looking at the native apps, they are much better in terms of user satisfaction, as they have device features integration, fast speed of working, great user interface. They are getting more security. Maybe, you need to invest more money, more time, but in a long time, it will benefit you, when you get the user exposure saying it feels better than the hybrid.ConclusionEach approach has its advantages and disadvantages but ultimately a native approach will possess several benefits for a company’s bottom line. Now, you are well acquainted with why to choose native app over hybrid app while developing iOS as we have considered almost all the pros and cons of native and hybrid apps. Still, further questions, please visit us at Zeolearn.
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How Native Is Better Than Hybrid While Developing App For iOS

How Native Is Better Than Hybrid While Developing App For iOS

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We are going to discuss why a native app is better than the hybrid app while developing for iOS. Let’s have a brief about iOS. It is a mobile operating system created and developed by Apple. Thi...
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Microsoft Releases October 2018 Update for Windows 10 IoT

On October 4, 2018, Microsoft Windows was in news with a new transformation in the Software Industry. The advanced roadmap for Windows 10 IOT takes another great step forward with this latest Windows 10 update, delivering edge intelligence with ML (machine learning), new monetization models, diverse silicon options, and industrial strength security for resellers and distributors.The Microsoft Windows 10 October 2018 update for IoT devices comes with two releases basically, One is a semi-annual release and one more is Long Term Servicing release. The Semi channel offers new functionality with two feature updates per year and the long-term servicing channel offers only quality and security update without any new features over a ten-year period of time. When it comes to device manufacturers, basically, updates are usually controlled through the device update center portal. Thereby it is easy to create their own updates at the end which are particular to their devices, and later can be distributed as they see fit. All these are a part of Windows 10 IoT core services, which came up in June. These Windows 10 IoT Core services include long-term OS support and services to assess device health and manage device updates.Microsoft 10 IoT also provides a huge support to both Microsoft Intune and Azure IoT device management to offer more compatible device management for business IoT deployments.Customers like Redback Technologies, Rockwell Automation, and Johnson control are already using Microsoft’s updated IoT capabilities.Tools like these will definitely help the companies to manage the projects at scale, and deliver a successful project.Source: Microsoft official blog
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Microsoft Releases October 2018 Update for Windows 10 IoT

Microsoft Releases October 2018 Update for Windows 10 IoT

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On October 4, 2018, Microsoft Windows was in news with a new transformation in the Software Industry. The advanced roadmap for Windows 10 IOT takes another great step forward with this latest Windows ...
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The Engines — Explore JavaScript engines

To learn about JavaScript engines is to learn about JavaScript under the hood, basically what goes on when you run your code. A proper understanding of this topic would help you write much better code. This guide to JavaScript engines will help you to understand JavaScript engine performance and some of their most important features.What are JavaScript Engines?JavaScript engines are programs that convert JavaScript code into lower level or machine code.JavaScript engines follow the ECMAScript Standards. These standards define how the JavaScript engine should work and what features it should have.In general, higher level languages like JavaScript, C, FORTRAN are abstracted from machine language. JavaScript is much farther abstracted from machine level than C/C++. C/C++ are in comparison much closer to the hardware among other reasons making them much faster than other high-level languages.Compilation and Interpretation are some general approaches used in code implementation by programming languages.A compiler is a program that transforms a computer code written in a programming language (source language) into another programming language (target language). They translate a source code from a high-level programming language to a lower level language e.g machine code.An interpreter goes through your source code statement by statement and executes the corresponding machine code directly on the target machine.An interpreter directly executes (performs instructions written in a programming language).While interpretation and compilation are the two of the principles by which programming languages are generally implemented, they are not totally unrelated, as most interpreting systems also perform some translation work, just like compilers.JavaScript is usually categorized as interpreted although it is technically compiled. Modern JavaScript compilers actually perform Just-in-time Compilation which occurs during run-time.JavaScript engines are embedded in browsers and web servers, such as Node.js to allow run-time compilation and execution of JavaScript code.Popular JavaScript Engines                                                                                                                   Google V8Google’s V8: It is an open-source JavaScript engine that was developed by The Chromium Project for Google Chrome and Chromium web browsers. The project’s creator is Lars Bak. The first version of the Chrome’s V8 engine was released at the same time as the first version of Chrome: September 2, 2008. It has also been used in server-side technologies like Node.js and MongoDB.This engine has the Ignition Interpreter used for interpreting and executing low-level bytecodes. Bytecodes, although slower, are smaller than machine codes and requires lesser compilation time. Full-Codegen is a compiler that runs fast and also produces unoptimized code. The Crankshaft is a slower compiler that produces fast, optimized code. TurboFan, the JIT compiler will profile the code and see if it is used multiple times throughout the entire JavaScript execution. The garbage collector will find objects and data that are no longer referenced and collect them. The V8 engine stops program execution when performing a garbage collection cycle.                                                                                  V8’s compilation pipeline with Ignition enabled.CHAKRA: There is the chakra (JScript engine) but for the purpose of this article I would be talking briefly on the chakra (JavaScript engine). Chakra is a JavaScript engine developed by Microsoft for its Microsoft Edge web browser. It is a fork of the JScript engine used in Internet Explorer. Chakra in a general sense changes the execution qualities of JavaScript inside Internet Explorer 9. Chakra contains a new JavaScript compiler that compiles JavaScript source code into high-quality native machine code, a new interpreter for executing the script on traditional web pages, and improvements to the JavaScript runtime and libraries.                                                                                          Block diagram of Chakra’s design.SPIDERMONKEY: It is the code name for the first JavaScript engine, written by Brendan Eich at Netscape Communications, later released as open source and currently maintained by the Mozilla Foundation SpiderMonkey written in C and C++. It is used in various Mozilla products, including Firefox, and is available under the MPL2 (Mozilla public license version 2.0). SpiderMonkey integrates type inference with Jaegermonkey, JITcompiler to generate efficient code. SpiderMonkey contains an interpreter, several JIT compilers (TraceMonkey, JägerMonkey, and IonMonkey), a decompiler, and a garbage collector.RHINO: This JavaScript engine was written fully in Java and managed by the Mozilla Foundation as open source software. It is separated from the SpiderMonkey engine, which is also developed by Mozilla, but written in C++ and used in Mozilla Firefox.Some other JavaScript Engines are: NASHORN: For more information on this, check this link                                   https://docs.oracle.com/javase/10/nashorn/introduction.htmJERRYSCRIPT: For more information on this, check this link http://jerryscript.net/                                     github repository: https://github.com/jerryscript-project/jerryscriptKJS: Github repository https://api.kde.org/frameworks/kjs/html/index.htmlBenchmarkBenchmark measures the execution of a JavaScript engine through running code that is used as a part of the modern web applications. Benchmark results may not be 100% exact and may likewise vary from platform to platform or devices. To perform a test, check out https://arewefastyet.com/TL;DRIn the most basic terms, JavaScript engines take your source code, splits it up into strings or lexes it, takes those strings and changes over them into bytecode that a compiler can understand, and afterward executes it. The objective of a JavaScript engines’ code parsing and execution process is to produce the most optimized code in the shortest conceivable time. web developers should know about the distinct characteristics in the browsers that show the code that we work so difficult to create, debug, and maintain. Why certain scripts work slowly on one program, yet more rapidly on another. Mobile web developers need to understand the restrictions inherent to and possibilities offered by the different browsers on their devices. Staying aware of the progressions in JavaScript engines will truly pay off as you advance as a web, mobile, or application developer.
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The Engines — Explore JavaScript engines

The Engines — Explore JavaScript engines

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To learn about JavaScript engines is to learn about JavaScript under the hood, basically what goes on when you run your code. A proper understanding of this topic would help you write much better code...
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React 17- What’s new in the future?

IntroductionNot too long ago React 16.3 alpha made its debut on npm.js, unveiling changes such as a new version of React Developer Tools, Strict Mode, and a new Context API . Don’t worry it’s super usable now and you’ll definitely want to try it out when handling basic state management concerns. It’s fair to say we didn’t get settled in with React 16.3 when JSConf 2018, Dan Abramov, creator of Redux and a core team member of React unveiled the new features of React 17. The React team does a great job at making React even better and this time their concerns were:How the state of an application is managed on devices with low processing capabilities.How the quality of network reception would influence the loading state of your application and its impact on a user’s general experience.Let’s have a glimpse into the future of React 17Time SlicingDuring the creation of React Fiber, async rendering was kept off due to the following reasons despite facilitating quicker responses in UI rendering:Issues with backward compatibilityPotential occurrences of race conditions and memory leaksTo make async rendering easier and safer to use, the concept of Time Slicing was created. Here’s one of Dan’s keynote slides at JSConf 2018:Applications of the future will have heavy user interfaces. When rendered on devices with low processing power, a user may feel stuck while trying to navigate through the app thus leading to a forgettable user experience. Time slicing splits computations of updates made on children components into various chunks during idle callbacks thus rendering can be executed over multiple frames. Instead of waiting for a high priority update to finish before rendering low priority updates, React simply rebases and continues to work on the low priority update while the high priority update is uninterrupted.Time Slicing is an awesome “under the hood” feature as it handles every CPU allotting and scheduling task while taking minimal attention from the developer.SuspenseLet’s say the UI of your app has a parent component which contains different components that all have different data dependencies. Basically, that’s a tree with async requests that trigger other async requests. Redux would solve this problem by having parent components handle requests for similar sibling components — React Suspense does things differently.With Suspense, React can pause any state update while loading asynchronous data. Suspense allows multiple state management — should there be a case of poor network reception, certain parts of the app are displayed while other parts load ensuring that the app remains accessible instead of displaying loading spinners and displaying all parts of the app only when all the requests have responded. Here’s a tweet from Dan stating explicitly, the core function of Suspense:In the process of demonstrating how Suspense works, Dan used createFetcher, an API which is basically a cache system that allows React to suspend the data fetching request from within the render method. Andrew Clark, also a core member of the React team, demystified createFetcher in a tweet: In his tweet, Jamie Kyle, also another core team member of React breaks down createfetcher :TL;DR function createFetcher(method) {   let resolved = new Map();   return {     read(key) => {       if (!resolved.has(key)) {         throw method(...args).then(val => resolved.set(key, val));       }       return resolved.get(key);     }   }; }Do note that createFetcher — at the time of writing this post is an extremely unstable API and may change at any time. As such, it shouldn’t be used in real applications. You can follow up on its development and progress on Github.To show you how Suspense works, I will be adopting excerpts from Dan’s IO demo at JSConf 2018:import { createFetcher, Placeholder, Loading } from '../future'; In the image above, the createFetcher API imported from the future has a .read method and will serve as a cache. It is where we will pass in the function fetchMovieDetails which returns a promise.In MovieDetails, a value is read from the cache. If the value is already cached, the render continues like normal else the cache throws a promise. When the promise resolves, React continues from where it left off. The cache is then shared throughout the React tree using the new context API.Usually, components get cached from context. This implies that while testing, it’s possible to use fake caches to mock out any network requests. createFetcher uses simple-cache-provider to suspend the request from within the render method thus enabling us to begin rendering before all the data has returned.simple-cache-provider has a .preload method that we can use to initiate a request before React gets to the component that needs it. For example, in a cinema app, you’re switching from MovieReviews to Movie, but only MovieInfo needs some data. While the data for MovieInfo is being fetched, React can still render Movie. With Suspense, the app fetches data while still being fully interactive at the same time. Potential occurrences of race conditions while a user clicks around and triggers different actions become minimal. In the picture above, using the Placeholder component, if the movie review takes more than a second to load while waiting for async dependencies, React displays the spinner.As seen above, the Loading component lets us temporarily suspend any state update until the data is ready and then add async loading to any component deep in the tree. It does this by rendering a prop called isLoading that lets us decide what to show.Like createFetcher, Loading is also part of simple-cache-provider and also unstable. Avoid using it in real applications.Deprecation of certain Component Lifecycle MethodsIn a recent blog post from the React team, the future of component lifecycle methods was discussed. Of course, you wouldn’t expect the React team not to make new changes to certain component lifecycle methods having made async rendering a more adaptable feature in React. React’s original lifecycle model was not intended for async rendering and with increased adoption of the latter, some of these lifecycle methods will be unsafe if used.Here are the lifecycle methods that will soon be deprecated:componentWillMount componentWillUpdate componentWillRecieveProps Due to the fact that all three methods are still being used quite frequently, their deprecation will occur in phases. First, they’ll be classified as unsafe in React 16.3, then they’ll have deprecation warnings added to them in any release after that and then finally, they’ll be deprecated in React 17.Does deprecated mean they’re gone for good? Not really, in React 17 the three methods will be renamed and two new methods will also be introduced:UNSAFE_componentWillMount UNSAFE_componentWillUpdate UNSAFE_componentWillRecieveProps getDerivedStateFromProps getSnapshotBeforeUpdate componentWillMount, componentWillUpdate and componentWillReceiveProps will be prefixed with UNSAFE. This implies that they shouldn’t be used at all or if they must be used, it should be with caution. For instance, the use of componentWillMount alongside async rendering will trigger multiple rendering of your component tree — this reason alone has deemed it unsafe.In this tweet, Dan explains how server-side rendering will work in the future with just componentDidMount:Let’s go on to demystify both of the newly created methods: getDerivedStateFromProps and getSnapshotBeforeUpdategetDerivedStateFromPropsThis method is static and handles what componentWillReceiveProps was able go do along with componentDidUpdate. It was created to be a safer replacement for componentWillReceiveProps. It is called after a component is created and also called when it receives a new prop.static getDerivedStateFromProps(nextProps, prevState) { // ... }getderivedStateFromProps returns an object to update state in response to prop changes. To indicate no change to state it returns null. React may call this method even if the props have not changed.getSnapshotBeforeUpdateThis method is called just before the DOM is updated, it handles what componentWillUpdate was able to go along with componentDidUpdate. The value that is returned from getSnapshotBeforeUpdate after the DOM is updated is passed on to componentDidUpdate.getSnapshotBeforeUpdate(prevProps, prevState) { // ... }A good use case for getSnapshotBeforeUpdate is resizing the window of an app during async rendering.SummaryTime Slice handles all our difficult CPU scheduling tasks under the hood without any considerations. Suspense enables us to manage multiple states by delaying the rendering of content for a few seconds until the entire component tree is ready while keeping the previous view intact. Here’s a short reiteration of the points noted by Dan at JSConf 2018:I recommend that you watch Dan’s full presentation at JSConf 2018 where he gave further details of the reasons behind what’s new in React 17.
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React 17- What’s new in the future?

React 17- What’s new in the future?

Blog
IntroductionNot too long ago React 16.3 alpha made its debut on npm.js, unveiling changes such as a new version of React Developer Tools, Strict Mode, and a new Context API . Don’t w...
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How will AI and Machine Learning revolutionize e-learning?

E-learning has established itself as one of the best learning methods in the current date. It is said to increase the knowledge retention rates from 25-60% in comparison to face-to-face training. The rise of cloud-based LMS (learning management system) has made it possible for several instructors to impart their knowledge and wisdom to willing students worldwide.Concurrently, there have been massive breakthroughs in the realms of artificial intelligence and machine learning and these technologies have influenced all major fields and applications in a positive way.Learning management systems are no exception. There can be several possibilities in which AI and ML can enhance the eLearning experience. But, before jumping to them, let’s understand the basics of Artificial Intelligence first.Here is a quick comparison between AI and Machine learning -Understanding Machine Learning  and AI-Future of E-learningWhenever people come across the theory of Artificial Intelligence, they immediately think of Jarvis or Ultron (from Iron Man) or even the Terminator and the impending doom resulting from the rise of intelligent machines; thanks to Hollywood.Such intelligent machines are called “General AI” and as per are still impossible to achieve. But we have already achieved “Narrow AI” and are even using it in everyday applications, although many of us are not aware of it.Alexa, Cortana and other virtual assistants are popular AI applications and are rapidly growing. Even Facebook and Google use AI and machine learning to recognize pictures of your friends in your photos and prioritize email importance respectively.For instance, in an experiment, Facebook researchers trained their AI-powered image recognition networks with 3.5 billion Instagram images with 17 thousand hashtags in total. Their computer vision system achieved 85% image recognition accuracy on ImageNet after training with just one billion images and 1,500 hashtags.So what is Artificial Intelligence and Machine Learning?Artificial Intelligence is simply the capability of machines to learn on its own from a set of data and take appropriate decisions without being explicitly provided with an algorithm; just like the humans (or even better).Machine Learning is one of the approaches to achieve Artificial Intelligence. Through machine learning, a machine can be trained to develop its own algorithm to learn from a set of data and understand patterns and trends.This video can help you in further understanding the difference between the two:How E-learning will benefit from AI and  Machine Learning?Machine learning allows any software application to behave more intelligently and automatically improve on its own. AI machines utilize decision tree learning,artificial neural networks,Bayesian networks and other such machine learning algorithms to undertake different tasks.These machine learning tasks can be broadly classified into “Supervised Learning” and “Unsupervised Learning.” E-learning landscape can drastically grow with the integration of AI and ML in the Learning Management System (LMS) applications.Enable Better Optimization of Course Content and DeliveryMaking an online course on any cloud-based LMS is not a one-time activity. The course content needs to be revised based on the feedback that you are getting from the students. The feedback can be in the form of qualitative surveys or comments left by the students and the quantitative data like quiz results, ratings, and other course metrics that the LMS provides you.This data needs to be processed and analyzed by the instructor to understand the patterns and trends so that the course’s effectiveness can be increased. It is a tedious and time-intensive task, but quite critical at the same time. No wonder, many instructors are not able to do it perfectly.But AI enabled learning management system can utilize artificial neural networks or even deep learning algorithms to process the data and optimize the course content without manual intervention; possibly much faster and accurately than humans.The intelligent LMS will be able to quickly learn about the areas in which the student is still weak, and understand how the course can be improved automatically based on the patterns and data of every student.Facilitate Personalization of the Course for Each Student Every student has different educational backgrounds and thinking abilities. It is imperative to provide case studies and examples to them that they can best relate to, meaning that the course needs to be customized as per each student for better learning.Such a high-level of customization can be achieved with an LMS that has machine learning capabilities.Enhance the Effectiveness of CoursesBesides optimizing the course content and personalizing it as the course progresses for each student, AI-enabled LMS can take care of the tedious routine tasks like grading of students, on-boarding of students, providing initial instructions and so on.This way the instructors can spend more time on things that matter the most, i.e. creating new courses and even learning new things themselves.Help in Identifying The Need For New CoursesArtificial Intelligence is all about data and pattern-identification. Once an AI-LMS has collected wide sets of data and statistics of several students across various courses, it can even identify the gaps in the learning of students that have not yet been covered by any of the current courses.This way you’ll be able to identify the needs for new courses that would cover those learning gaps.Improve Marketing of Courses To Reach Targeted Students Intelligent LMS can help you out in creating a detailed profile of your potential students that will benefit the most out of your courses. Such high-level of details would enable you to refine your marketing messages and enhance the effectiveness of your campaigns so that your reach and conversions increase significantly.Allow 24X7 Resolution of Students’ DoubtsCloud-based LMS with the capabilities of artificial intelligence can act as a round-the-clock doubt solver with the help of a knowledge base from which it can learn. Think of it as your own virtual teaching assistant that helps your students on your behalf.Highly Interactive and Immersive Learning ExperienceAI-powered robot assistants like Zenbo, Cloi and Temi have already spawned the market and are gaining access into homes for assisting in routine activities, empowering smart homes and even as nannies for babies.Cloud-based LMS can be easily integrated with these robots to teach students in their homes rather than sitting in front of a laptop or mobile. Students can also interact vocally with these robots to get their doubts resolved instead of typing on their laptop screens.This would create a higher learning synergy and an immersive learning experience that is bound to increase the efficacy of the courses.ConclusionToday, Artificial Intelligence and Machine Learning are shaping E-learning. Artificial intelligence and machine learning are not mere buzzwords; they are revolutionary technologies that here to stay and change the landscape of human civilization. E-learning can hugely benefit from these technologies and that can change the way we learn new things through online courses.
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How will AI and Machine Learning revolutionize e-learning?

How will AI and Machine Learning revolutionize e-learning?

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E-learning has established itself as one of the best learning methods in the current date. It is said to increase the knowledge retention rates from 25-60% in comparison to face-to-face trai...
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How Will Big Data Change The Techniques Of Effective Lead Generation?

Business across various sectors have a purpose to expand and increase the sales revenue whether it is related to retailing or digital marketing. Instead of spending your time on quality assurance or product development, first, you should know the consumer interest and find the ways to attract people. So, to keep the sales tank full or embed your business, lead generation is the must.But, how is it possible. To improve the efficiency and productivity of the business operations of enterprises worldwide, the word “Big data” helps to drive the business approach and improves its performance. The visualization and analyzation of data can produce tremendously powerful insights and stunning outcomes. As along with generating new and dramatic business opportunities for enterprises, it also has the ability to personalize website content and the look of the website in real time as per the customers visiting your website.Major Benefits Of Big Data In Lead Generation:There is no doubt, it changes the way to interact with people and its smart strategies will help you find new prospective customers and keep your pipeline full of qualified leads.By leveraging the big data is one of the competitive advantages to better understand the target and help to build a better relationship with potential customers.Based on the awareness levels and buying process, the data also permits to personalize real-time information, while continuously staying connected with our audiences. By knowing what exactly they want to read, which blogs they frequently read, what their daily professional challenges are, and how we can surmise their professional goals.So, it is important for the organizations to understand the benefits and go ahead in utilizing the full potential of Big Data Analytics. And, it includes the safety of data, ability to perform risk analysis, generation of new revenue streams, customer preferences and other useful information that can help organizations make more-informed business decisions.  How Big Data can improve Lead Generation?First, understand the potential customers’ requirement or questions by seeing how your company can help them. Connect with your customer to find the desire of your customer and analyze the profile of your customer.Answering will put you on the right track to create the content that will attract the visitors to your website. The right content strategy will be tailored website visitor to obtain the appropriate information. And make them want to stay in touch with your company for a bit longer.But, with business trends and time necessities for the effective lead generation, there is a number of new forms for acquiring the business.  Let's have a look at the 5 ways Big Data is affecting lead generation.Focus On Buyer Persons:You already know who your leads are, but how to generate more leads or attract to them. Targeting your messaging and lead generation activities is only possible by creating personas. With the help of the signup process, you can enable your website to gather the information about your customer. It means to collect the details of the customer in the prospects of enhancing your database with demographic, social, professional, and interest data.Once you identify the buyer persona whether it is an IT professional, young adults, or brand manager, then you can conduct the research like which blogs or magazines they read, and how you could assist them better from a marketing perspective. This helps you to know: where to advertise your products and which type of content/marketing materials have to produce?Website OptimizationExamine the behavioral flow of your website through Google Analytics or other tools. Through this way, you will able to discover how visitors are trying to interact with your website. Google analytics will help you to know on which pages they are landing and as well as query they used to search an article. So, you are able to optimize your website or landing pages. Improve your website by adding the call to action (CTA) button if there is not any so that visitors can prescribe.Real-Time Personalization An automatic way to deliver tailored content to different groups of visitors to your site is based on the behavioral targeting and product recommendation. It simply analyzes the search and buying behavior of the customers, but it is crucial to delivering a right message at the right time. Such marketing automation tools Hubspot & Marketo enable you to attain the personalization of your website at the real-time for visitors. Then call to action and landing pages will allow you to catch the individual buyer persona’ requirement and provide tailored offers directly at the point of contact.To influence the buying process, analyze the lead’ and customers’ behavior. This is especially relevant in the B2B multi-touch sales process. Alongside generation of leads, big data also helps to increase the sales efficiency and effectiveness to generate leads.Add ChatboxIn many industries, Chatbox is emerging as powerful customer service tools which are encountered to provide automated helpers while browsing or shopping. So, add a bot or pop up on your website to offer guidance or answer questions. By automating the initial stages of contact between agents and prospects will engage more visitors to your website which is resulting in higher lead conversions.Customer ManagementFocus on the centralization including the fast, furious, fragmented nature of cross-channel customer data. This not only enhances the visibility of your customers’ actions and preferences but allows you to identify your Most Valuable Customers and build backend data with correct information. This approach allows gaining the greater understanding in order to deliver the right message. Once you are able to synthesize it, you can easily measure the requirement of the customers - what exactly he/she is going to buy in the future.Bottom LineIn this summarization, we conclude that big data analytics courses and techniques mainly help to reduce complexity, size and highlight the right aspects of the data with better clarity and context. So, developing an accurate message means customized each segment of customers, which is effective for lead generation and also helpful in creating a new business with existing customers. 
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How Will Big Data Change The Techniques Of Effective Lead Generation?

How Will Big Data Change The Techniques Of Effective Lead Generation?

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Business across various sectors have a purpose to expand and increase the sales revenue whether it is related to retailing or digital marketing. Instead of spending your time on quality assurance or p...
Continue reading

Creating VR experiences using React and A-frame

VR Technology is growing in a wide range in all aspects. But, learning the tech stack for its implementation is still a challenge for many web developers. What if we could have something which makes our work easy without writing all the boilerplate codes for its implementation and setup.A-Frame is one open source web framework out in the market which is used for building virtual reality experiences with simple HTML and entity components which can be deployed and viewed on any available device in the market without setting up any configurations explicitly. A-Frame makes it easy for web developers to build virtual reality experiences with React that work across desktop, iPhone, Android, and the Oculus Rift.In this post, You will learn how to create VR experiences using React and A-Frame.What is A-Frame?                                                                         Figure 1. A-frame Website (Source: https://aframe.io/)A-Frame is a framework for building rich 3D experiences on the web. It’s built on top of three.js, an advanced 3D JavaScript library that makes working with WebGL extremely fun. The cool part is that A-Frame lets you build WebVR apps without writing a single line of JavaScript (to some extent). You can create a basic scene in a few minutes writing just a few lines of HTML. It provides an excellent HTML API for you to scaffold out the scene, while still giving you full flexibility by letting you access the rich three.js API that powers it. In my opinion, A-Frame strikes an excellent balance of abstraction this way. The documentation is an excellent place to learn more about it in detail.A-Frame brings to the game is that it is based off an entity-component system, a pattern used by universal game engines like Unity which favors composability over inheritance. As we’ll see, this makes A-Frame extremely extendable.Entity Component SystemThe entity-component system is a pattern in which every entity, or object, in a scene, are general placeholders. Then components are used to add appearance, behavior, and functionality. They’re bags of logic and data that can be applied to any entity, and they can be defined to just about do anything, and anyone can easily develop and share their components.An entity, by itself without components, doesn’t render or do anything. A-Frame ships with over 15 basic components. We can add a geometry component to give it shape, a material component to give it appearance, or a light component and sound component to have it emit light or sound.Each component has properties that further define how it modifies the entity. And components can be mixed and matched at will, hence the “composable” word root of “component”. In traditional terms, they can be thought of as plugins. And anyone can write them to do anything, even explode an entity. They are expected to become an integral part of the workflow of building advanced scenes.Writing and Sharing ComponentsSo, at what point does the promise of the ecosystem come in? A component is simply a plain JavaScript object that defines several lifecycle handlers that manages the component’s data. Here are some examples of third-party components that I and other people have written:Text componentLayout componentExplode componentSpawner componentExtrude and lathe componentSmall components can be as little as a few lines of code. Under the hood, they either do three.js object or JavaScript DOM manipulations. I will go into more detail how to write a component at a later date, but to get started building a shareable component, check out the component boilerplate.Setting up in your React projectCheck the steps below for creating VR experiences with React.Step 1:                                                                        Figure 2. Adding A-frame script inside the head tag Add, the below script tag between the head tag in index.html Now run your React application again you would see similar thing as shown below. I have added an image soil.jpg to make the mountain soil look like the one in the image. You can also ignore adding a soil image by default plain mountains appear.                                                         Figure 7. Scene After adding the mountain and particle A-frame tagsNow as we see small droplets falling down and see the sky empty without clouds. To make the scene more attractive I will add a panoramic sky image to make it more realistic.                                                                                     Figure 8. Adding A-frame sky tagAs shown above, I have added an A-frame sky tag with a panoramic image in the scene.Now on running your React application again. You can see your scene as shown below.                                                                     Figure 9. Your Final React VR scene using A-frameYou can actually add more elements into the scene based on your idea and visualize your react web application with a VR feel.ResourcesYou can find more examples of A-frame scenes here. Which you can implement in your react project.You can find the code of above example here. 
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Creating VR experiences using React and A-frame

Creating VR experiences using React and A-frame

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VR Technology is growing in a wide range in all aspects. But, learning the tech stack for its implementation is still a challenge for many web developers. What if we could have something which makes o...
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A Guide To Object Introspection in Python

IntroductionIn this post, we will be looking into Python's remarkable powers of introspection. Introspection is the ability of a program to examine its own structure and state, a process of looking inward to perform the self-examination. We’ll review and use some of the tools and bring them under the area of introspection.Why introspection and how it helps?In computer programming, the flexibility to look at one thing in depth and to examine what it holds and what it can do is known as introspection. In Python, it is one of its strength. Here, introspection helps in determining the type of an object at runtime. Since in Python everything is an object, it helps in leveraging the introspection properties to examine those objects. It provides us with some modules and a few built-in functions to achieve this. One should always use introspection because it gives programmers a great flexibility and management to examine the object with respect to its state and structure and this help us in using the important properties of the object and unnecessarily not instantiating the other unexamined objects. So, let us understand how to inspect objects and how could this benefit us.Object Types in DepthPerhaps the simplest introspective tool known is the built-in function type. We generally use this extensively for displaying object types. For example, if we create an integer i = 7, we can use type(i) to return its type int. Now, if we enter int and press return. This indicates that type int is just a representation of int as produced by repr, which is what the REPL does when displaying the result of an expression. We can confirm this by evaluating this expression repr(int). So, type 7 is actually returning an int, which is the class type of integers. We can even call the constructor on the return type directly by doing type(i)(78). But what type does type return? The type of type is the type. Every object in Python has an associated type object, which is retrieved using the type function.Using introspection we can see that type is itself an object because the type is a subclass of object. And the type of object is the type. What this circular dependency shows is that both type and object are fundamental to the Python object model, and neither can stand alone without the other. Also, the issubclass performs introspection. It answers a question about an object in the program as does the isinstance method. We should prefer to use the isinstance or issubclass functions rather than a direct comparison of type objects.Introspecting ObjectsAn important function for object introspection in Pythonis dir, which returns a list of attribute names for the instance. Given an object and an attribute name, we can retrieve the corresponding attribute object using the built-in getattr function.  Let's retrieve the denominator attribute using getattr. This returns the same value as accessing the denominator directly. Trying to retrieve an attribute that does not exist will result in an AttributeError. So, we determine whether a particular object has an attribute of a given name using the built-in hasattr function, which returns True if a particular attribute exists. For example, our integer i have an attribute bit_length but does not have an attribute index. The programs using hasattr get cluttered, particularly if we need to test for the existence of many different attributes, and perhaps using try/except is faster than using hasattr because internally hasattr uses an exception handler anyway. Here's a module, numerals.py, which given an object supporting the numerator and denominator attributes for rational numbers returns a so-called mixed numeral containing the separate whole number and fractional parts. For example, it will convert 17/3 into 5 2/3.At the beginning of the function, we use two calls to hasattr to check whether the supplied object supports the rational number interface. We get a TypeError when we try to pass a float because float supports neither numerator nor denominator. We can have the best version by using an exception handler to raise a more appropriate exception type of TypeError chaining to it the original AttributeError to provide the details. This approach yields the maximum amount of information about why and what when wrong. Now we see that the AttributeError was the direct cause of the TypeError.from fractions import Fraction def mixed_numeral(vulgar):     try:         integer = vulgar.numerator // vulgar.denominator         fraction = Fraction(vulgar.numerator - integer * vulgar.denominator,                             vulgar.denominator)         return integer, fraction     except AttributeError as e:         raise TypeError("{} is not a rational number".format(vulgar)) from e                                                            numerals.pyIntrospecting ScopesPython contains two built-in functions for examining the content of scopes. The first function is globals(). This returns a dictionary which represents the global namespace. Let’s define a variable a = 42 and call globals() again, and we can see that the binding of the name 'a' to the value of 42 has been added to the namespace. In fact, the dictionary returned by globals() is the global namespace. Let's create a variable tau and assign value 6.283185. We can now use this variable just like any other variables. The second function is locals().To really see locals() in action, we're are going to create another local scope, which we can do by defining a function that accepts a single argument, defines a variable X to have a value of 496, and then prints the locals() dictionary with a width of 10 characters. When run, we see that this function has the expected three entries in its local namespace. By using locals() to provide the dictionary, we can easily refer to local variables in format strings.Duck Tail: An Object Introspection ToolWe'll now build a tool to introspect objects by leveraging the interesting techniques we've discussed and bring them together into a useful program. Our objective is to create a function, which when passed a single object prints out a nicely formatted dump of that object's attributes with rather more clarity. This is a small tool that we are going to create and the main use case of this tool is to help us identify a different aspect of the objects with respect to its type, methods, attributes, and documentation. It will help us in getting more clarity on the object.import inspect import reprlib import itertools from sorted_set import SortedSet def full_sig(method):     try:         return method.__name__ + inspect.signature(method)     except ValueError:         return method.__name__ + '(...)' def brief_doc(obj):     doc = obj.__doc__     if doc is not None:         lines = doc.splitlines()         if len(lines) > 0:             return lines[0]     return '' def print_table(rows_of_columns, *headers):     num_columns = len(rows_of_columns[0])     num_headers = len(headers)     if len(headers) != num_columns:         raise TypeError("Expected {} header arguments, "                         "got {}".format(num_columns, num_headers))     rows_of_columns_with_header = itertools.chain([headers], rows_of_columns)     columns_of_rows = list(zip(*rows_of_columns_with_header))     column_widths = [max(map(len, column)) for column in columns_of_rows]     column_specs = ('{{:{w}}}'.format(w=width) for width in column_widths)     format_spec = ' '.join(column_specs)     print(format_spec.format(*headers))     rules = ('-' * width for width in column_widths)     print(format_spec.format(*rules))     for row in rows_of_columns:         print(format_spec.format(*row)) def dump(obj):     print("Type")     print("====")     print(type(obj))     print()     print("Documentation")     print("=============")     print(inspect.getdoc(obj))     print()     print("Attributes")     print("==========")     all_attr_names = SortedSet(dir(obj))     method_names = SortedSet(         filter(lambda attr_name: callable(getattr(obj, attr_name)),                all_attr_names))     assert method_names 0 else SortedSet()     def __rmul__(self, lhs):         return self * lhs     def issubset(self, iterable):         return self = SortedSet(iterable)     def intersection(self, iterable):         return self & SortedSet(iterable)     def union(self, iterable):         return self | SortedSet(iterable)     def symmetric_difference(self, iterable):         return self ^ SortedSet(iterable)     def difference(self, iterable):         return self - SortedSet(iterable)                                                       sorted_set.py An attribute value could potentially have a huge text representation. So, we’ll print the attributes and their values by using the Python Standard Library reprlib module to cut the values down to a reasonable size in an intelligent way. Then we'll print a nice table of names and values using a print_table function. The function will need to accept a sequence of sequences representing rows and columns and the requisite number of column headers as strings. We now move onto methods. From our list of method names, we'll generate a series of method objects simply by retrieving each one with getattr. Then for each method object, we'll build a full method signature and a brief documentation string using functions and then, print the table of methods using our print_table function. We now implement the three functions full_sig, brief_doc, and print_table that are required by the dump function. So that completes our code and the dump function and we test if the function works.  We observe that using introspection we can get very comprehensive information even for a very simple object like the integer digit 7.ConclusionThere is various introspection that can be used in Python. We developed an object introspection tool, which uses all the techniques that we have learned, be it the type of objects using the type function, or the using the dir function, the getattr, and hasattr functions. This would be very great in getting deep into Python objects and performing introspection with more finesse. I hope this guide to Python introspection provides a great help and with more practice, we could discover how objects behave in Python.This guide to Python introspection will take you through the Python's remarkable powers of introspection. Deep dive into Python objects and  performing introspection with more finesse.
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A Guide To Object Introspection in Python

A Guide To Object Introspection in Python

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IntroductionIn this post, we will be looking into Python's remarkable powers of introspection. Introspection is the ability of a program to examine its own structure and state, a process of lookin...
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Simple Tutorial on ‘Big O’

Often taking lectures or learning about Data Structures & Algorithms, amateurs tend to ignore this topic, which, as it turns out later, is a very important part of writing efficient algorithms and cracking interviews or coding challenges.In this Blog, I aim to explain ‘Big O’ in a simple manner! Hope you enjoy!If you’ve done programming, you know that there can be multiple ways to solve a problem. And a good problem solver always looks for the best possible solution!This is where ‘Big O’ helps us. Big O gives us an idea of relative performance of an algorithm.Why did I use word relative?How efficiently an algorithm, a program or a software for that matter runs on a computer is not just influenced by its own efficiency, but also by hardware factors like processor, RAM etc. This means that running the same algorithm, taking a same number of inputs, can take different times running on various machines.This is why we talk about relative performance with Big O, which basically means at what rate running time increases with an increase in input to the algorithm, which is independent of machine.Another thing to note about ‘Big O’ is that in ‘Big O’ notation, we talk about the worst-case complexity of Algorithm. Why?Consider you are preparing for a competitive exam for a while. You’ve given several mock tests and have score data with you. When the paper was easiest, you scored 80/100, in the hardest paper you scored 65/100, and your average score, suppose is 71/100. Suppose there’s a cut-off for that exam. To make sure you pass in the exam what would be the best and safest way?1) Trying to score above cut-off in easy tests. (Best case)2) Trying to score above cut-off on average. (Average case)3) Trying to score above cut-off even in hardest of tests. (Worst case)(3) will ensure that even if the test is hardest and/or you are at your worst performance, you’ll still at least clear the cut-off.Similarly, to maximize the efficiency of Algorithms we write, in the worst possible case, makes sure our algorithms are most efficient and work in every scenario.Now, that we understand what Big O is and its purpose, let’s move on to some examples to understand the concept.printf(‘Hello world!'); In the above example, since the input is constant, the time taken will not increase but remain constant, even in the worst case. Therefore in terms of Big O, we can represent it as O(1).for ( i = 0; i < n; i++){ If(ans == arr[i]) { printf(i); } } In the example above, we can see that if no. of times the code executes, depends on how soon we find the element matching to the array answer.Since we have to consider the worst case scenario, we’ll assume that nth element is the element we require, i.e., arr[n-1]. So, the complexity becomes O(n).What O(n) means is that complexity increases linearly as number of inputs increases.for ( i = 0; i
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Simple Tutorial on ‘Big O’

Simple Tutorial on ‘Big O’

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Often taking lectures or learning about Data Structures & Algorithms, amateurs tend to ignore this topic, which, as it turns out later, is a very important part of writing efficient algorithms and...
Continue reading

Understanding Navigation in a React Native App

Navigation plays an important role in mobile applications. Without navigation, there will be little use of an application. In this React Native navigation tutorial, we are going to learn how to implement Navigation in a React Native application from scratch. If you are familiar with the web, or Reactjs as a library, the overall concept of navigation is same. It is used to navigate to different pages or screens (in our case). However, the implementation of a navigation library here is different from the web.Getting Started with React NavigationBefore building a mobile application it is recommended that one spends an amount of time strategizing how the React Native apps will handle navigation and routing. In this module, we will be covering different navigation techniques available to us. First, let us set up our project. We will use react native CLI tool for this. If you haven’t installed it, type the first line otherwise if you already installed, you can skip the first command.npm install -g react-native-cli react-native init rnNavApp Next, we will navigate into the new project directory and will run the project to see if everything is working fine by running the following command.react-native run-ios # OR react-native run-androidAfter that, we will install the dependency we need to implement navigation in our application.yarn add react-navigationNow that we have created our bare minimum application and have the required dependencies installed, we can start by creating our components and look at different React Native navigation techniques and understand them.Stack NavigationStack Navigation is exactly what the word stack refers to. It is a pile of screens or app pages that can be removed from the top. It follows a simple mechanism, last in, first out. The stack navigator, it means, adding screens on top of each other. To implement this we will create three screens inside the directory src/. If the directory name is not available to you, do create one. These three screens are .js files: ScreenOne, ScreenTwo, and ScreenThree.// ScreenOne.js import React, { Component } from 'react'; import { View, StyleSheet, TouchableHighlight, Text } from 'react-native'; class ScreenOne extends Component { static navigationOptions = { title: 'Welcome' }; render() { const { navigate } = this.props.navigation; return ( navigate('ScreenTwo', { screen: 'Screen Two' })} style={styles.button} > Screen One ); } } const styles = StyleSheet.create({ container: { flex: 1, justifyContent: 'center', alignItems: 'center' }, button: { alignSelf: 'stretch', marginLeft: 10, marginRight: 10, borderRadius: 5, height: 40, justifyContent: 'center' }, buttonText: { color: 'teal', fontSize: 22, alignSelf: 'center' } }); export default ScreenOne; // ScreenTwo.js import React, { Component } from 'react'; import { View, StyleSheet, TouchableHighlight, Text } from 'react-native'; class ScreenTwo extends Component { static navigationOptions = ({ navigation }) => { return { title: `Welcome ${navigation.state.params.screen}` }; }; render() { const { state, navigate } = this.props.navigation; return ( {state.params.screen} this.props.navigation.goBack()} style={[styles.button, { backgroundColor: '#3b3b3b' }]} > Go Back navigate('ScreenThree', { screen: 'Screen Three' })} style={[styles.button, { backgroundColor: '#4b4bff' }]} > Next ); } } const styles = StyleSheet.create({ container: { flex: 1, justifyContent: 'center', alignItems: 'center' }, button: { alignSelf: 'stretch', marginLeft: 10, marginRight: 10, borderRadius: 5, height: 40, justifyContent: 'center' }, buttonText: { color: 'white', fontSize: 22, alignSelf: 'center' } }); export default ScreenTwo;// ScreenThree.js import React, { Component } from 'react'; import { StyleSheet, View, Text, TouchableHighlight } from 'react-native'; class ScreenThree extends Component { static navigationOptions = ({ navigation }) => ({ title: `Welcome ${navigation.state.params.screen}` }); render() { const { params } = this.props.navigation.state; return ( {params.screen} this.props.navigation.goBack()} > Go Back ); } } const styles = StyleSheet.create({ container: { flex: 1, justifyContent: 'center', alignItems: 'center' }, titleText: { fontSize: 22 }, button: { alignSelf: 'stretch', marginRight: 25, marginLeft: 25, marginTop: 20, borderRadius: 20, backgroundColor: '#ff0044', height: 50, justifyContent: 'center' }, buttonText: { color: 'white', fontSize: 18, alignSelf: 'center' } }); export default ScreenThree; Notice, in all three screens we have access to navigation.state as props and navigationOptions as a static object. The navigationOptions take header options for the screen title Welcome. In the application screen above, you will see the Welcome text in the toolbar. Other header options include headerTitle, headerStyle and many more. This is made available to us by react-navigation dependency.this.props.navigation object also has different properties that we can directly access in our component. The first, navigate is used to specify screen to navigate. Next, goBack() is the method that helps us navigate back to the previous screen, if available. Lastly, the state object helps us keep track of the previous and the new state.Using onPress() handler we can also access the screen directly as we are doing in ScreenOne.js. Just pass the component and the screen name as an argument.onPress={() => navigate('ScreenTwo', { screen: 'Screen Two' })}All of these methods and objects are made available to our components because of below configuration. To make use of these three screens, and see how Stack Navigation works in action, we will modify our App.js as:import React from 'react'; import { StackNavigator } from 'react-navigation'; import ScreenOne from './src/stack/ScreenOne'; import ScreenTwo from './src/stack/ScreenTwo'; import ScreenThree from './src/stack/ScreenThree'; const App = StackNavigator({ ScreenOne: { screen: ScreenOne }, ScreenTwo: { screen: ScreenTwo }, ScreenThree: { screen: ScreenThree } }); export default App; We are importing StackNavigator from react-navigation and all other screens we created inside the source directory.                                                         Screen One                                                   Screen Two                                                  Screen ThreeTab NavigationThe way Tab Navigation work is different from Stack Navigator. The different screens will be available to the UI at one point and there is no first or next screen. The user can access each tab from the Tab Menu. To create a Tab Navigation menu, we need to import createBottomTabNavigator. Let us see how it works. This time, we will edit the App.js code.// App.js import React from 'react'; import { Text, View } from 'react-native'; import { createBottomTabNavigator } from 'react-navigation'; class HomeScreen extends React.Component { render() { return ( Home! ); } } class SettingsScreen extends React.Component { render() { return ( Settings! ); } } export default createBottomTabNavigator({ Home: HomeScreen, Settings: SettingsScreen }); Of course, you can modularize it a bit by separating Home and Setting screen in different components of their own. For our demo application, the above example serves the purpose. You can add tabBarOptions to modify its look and feel. export default createBottomTabNavigator( { Home: HomeScreen, Settings: SettingsScreen }, { tabBarOptions: { activeTintColor: 'red', inactiveTintColor: 'black' } } );ConclusionIt might take a while to grasp them and use them for your application but once you get the whole of the basic concept, you can do wonders with it. You can even integrate Stack and Tab Navigators for complex scenarios. react-navigation has a good documentation.The complete code is available at this Github Repo.
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Understanding Navigation in a React Native App

Understanding Navigation in a React Native App

Blog
Navigation plays an important role in mobile applications. Without navigation, there will be little use of an application. In this React Native navigation tutorial, we are going to learn how...
Continue reading