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Azure Databricks: Everything You Need to Know

Updated on 18 September, 2023

1.84K+ views
9 min read

In today’s data-driven world, organisations are continuously looking for methods to leverage the power of data to achieve a competitive advantage. An industry-changing innovation in this area is Azure Databricks, a potent cloud-based data analytics tool. This thorough introduction offers insight into Azure Databricks, revealing its powerful features, highlighting its various applications, and demonstrating how easily it integrates with the rest of the Azure ecosystem.  

It’s crucial to comprehend Azure Databricks whether you’re a corporate leader, a computer expert, or someone who likes numbers and data. Enrol in an Azure Databricks tutorial for beginners and boost your CV. Learn Azure Databricks to transform your data into insightful knowledge and alter the course of your company’s operations. 

What Is Azure Databricks? 

Azure Databricks functions like a digital Swiss Army knife for anyone handling facts in today’s tech-driven world. It’s a Microsoft Azure cloud-based platform created to improve your data’s productivity and ease of use. It is similar to a vibrant hub where data scientists, engineers, and machine learning enthusiasts come together to transform unstructured data into actionable insights. 

Data gathering, processing, and analysis can all be streamlined using Microsoft Azure Databricks and executed in the same location. With tools like real-time co-authoring and notebooks, this platform thrives on collaboration and serves as a creative haven for teams. Additionally, its scalable feature allows you to adjust your data demands regardless of your project’s size. Strong authentication and encryption ensure your data is secure and compliant, with security being the priority.

What Is Azure Databricks Used For?

Databricks in Azure is a remarkably adaptable platform with various applications in numerous industries. Here are a few common scenarios:

  • Data Transformation and ETL (Extract, Transform, Load): To absorb, clean, and transform unstructured data from many sources into structured and useable representations, organisations employ Azure Databricks. The ETL process is streamlined, preparing the data for analysis. 
  • Data Exploration and Analysis: For in-depth data research, statistical analysis, and visualisation, data scientists and analysts use Azure Databricks. Its collaborative and interactive environment helps extract insights from data.
  • Machine Learning: From data preprocessing through model training and deployment, it enables full machine learning processes. It is used by data scientists, machine learning engineers, and decision-makers to create prediction models.
  • Real-time Data Processing: Databricks with Azure‘s Apache Spark Streaming capabilities enable data processing in real-time for applications like fraud detection, IoT device monitoring, and social media trend analysis.
  • Recommendation Systems: Azure Databricks is used by e-commerce and content platforms to create recommendation engines that personalise user experiences and increase consumer engagement and retention.

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Understanding the Relationship Between Azure & Azure Databricks 

Azure Databricks and Azure work together to create a harmonious data management and analysis symphony. The collaboration is broken down for better comprehension.

  • Azure Active Directory: Azure AD and Azure Databricks work well together. As a result, you may easily access Databricks using your Azure AD credentials. It ensures security and simplicity, like having a concert backstage pass.
  • Azure Data Lake Storage: Azure Databricks and Azure Data Lake Storage have teamed up to offer an enormous library containing all information. This data gold trove may be readily tapped into by Databricks, thus simplifying data access and analysis.
  • Azure Machine Learning: Here, Databricks gives Azure Machine Learning access to the melodies it finds in your data for further development and deployment. It’s comparable to writing a song in Databricks and sending it to a talented producer to add the finishing touches.
  • Azure DevOps: Azure Databricks is compatible with Azure DevOps for individuals who are into automation. Automated data pipelines ensure your data workflows run as smoothly as possible. 

Azure Databricks Use Cases 

Azure Databricks offers various use cases across industries and data-related tasks. Here are some common use cases:

  • Data Ingestion and ETL (Extract, Transform, Load): Azure Databricks makes it simple to gather, clean, and transform data from various sources, making it perfect for data integration and ETL operations.
  • Data Exploration and Analysis: To extract useful insights from their data, data scientists and analysts use Databricks for in-depth data exploration, hypothesis testing, and advanced analytics.
  • Machine Learning and AI: Azure Databricks is the perfect platform for data-driven organisations to implement AI solutions since it offers a collaborative setting for creating, honing, and deploying machine learning models.
  • Real-Time Data Streaming: Because Databricks and Apache Spark Streaming are integrated, real-time data streams may be processed and analysed. This feature is useful for monitoring, fraud detection, and IoT data analysis.
  • Recommendation Systems: E-commerce and content platforms use Azure Databricks to build recommendation engines that customise user experiences, boost engagement, and increase sales.

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Databricks in Azure

The term “Databricks in Azure” describes the implementation of the cloud-based data analytics platform Databricks within the Microsoft Azure cloud environment. With seamless interaction with Azure services, it offers an interactive environment for handling data, data science, and machine learning, providing all-encompassing data solutions and insights. Microsoft Databricks provide a strong platform for big data analytics, speeding data processing and analysis. Azure Databricks provide three environments: 

1. Databricks SQL

Using this capability, Databricks users can use SQL (Structured Query Language) to query and analyse data. Giving users a familiar vocabulary to engage with the data makes investigating and analysing the information simpler. 

2. Databricks data science and engineering

The exploration, manipulation, and modelling of data are the main topics of this Databricks feature. Within Databricks, data scientists and engineers work together to generate insights, construct data pipelines, and develop solutions. 

3. Databricks machine learning

Users may create, train, and use machine learning models thanks to Databricks machine learning. Data’s power makes processes like predictive modelling, recommendation systems, and automation easier.

Features of Azure Databricks 

  • Unified Platform: Offers a uniform setting for the collaboration of data engineering, data science, and analytics.
  • Scalability: Resources can be easily scaled to handle a range of workloads while maintaining optimal performance.
  • Managed Clusters: Manages Apache Spark clusters more simply, cutting down on administrative work.
  • Azure Integration: Integrates seamlessly with Azure services like Azure SQL Data Warehouse and Data Lake Storage. 
  • Security: Provides strong security features like role-based access control and data encryption.
  • Collaboration: Supports teamwork by providing dashboards, notebooks, and collaborative coding.
  • Machine Learning: Integrates with Azure Databricks machine learning for scalable model creation and deployment.
  • AutoML: AutoML offers automated machine learning capabilities for quicker model selection and tuning.

Advantages and Disadvantages of Azure Databricks

Listed below are the pros and cons of Azure Databricks.

Advantages:

  • Scalability: Azure Databricks is appropriate for organisations of all sizes since it can manage enormous volumes of data and scale resources up or down as necessary. 
  • Integration: Integrates seamlessly with other Azure services, making it simple to intake, store, and analyse data in a single ecosystem. 
  • Collaboration: Enables analysts, data engineers, and scientists to collaborate on projects in a supportive environment, increasing output and information transfer. 
  • Performance: Provides fast data processing, perfect for complex calculations and real-time analytics. 
  • Managed Service: As a fully managed service, users no longer need to worry about maintaining and updating their infrastructure.

Disadvantages:

  • Cost: Azure Databricks costs include potential budget overruns and the need for careful resource management.
  • Learning Curve: For individuals unfamiliar with Apache Spark or the service, learning Databricks might be challenging. 
  • Vendor Lock-in: Using Azure Databricks may lead to vendor lock-in, making it challenging to switch to another platform if necessary. 
  • Limited Control: The controlled nature of the service may limit some advanced users’ ability to customise configurations or optimise performance. 
  • Security Concerns: Security is an issue with cloud-based services in general. To safeguard sensitive data, users must take the right security precautions.

Databricks SQL

Databricks SQL is a versatile platform comprising three essential components:

1. Data Management

Data handling is made easier, enabling users to quickly obtain, combine, and modify data from diverse sources. This simplifies gathering clean, structured data and making it available for analysis.

2. Computation Management

Databricks SQL, powered by Apache Spark, enables complicated data and analytics processing at scale. It is crucial for businesses working with massive datasets since it supports high-performance applications like large-scale analytics, machine learning, and processing in real-time.

3. Authorisation

Strong permission restrictions are offered by Databricks SQL, allowing administrators to set access policies. Limiting access to authorised individuals ensures data security and compliance while protecting sensitive information.

Data Engineering with Azure Databricks 

Databricks encompasses several key components and functionalities essential for data science and engineering tasks:

1. Workspace

Teams can effectively collaborate, share code, and work on data projects in the collaborative environment of Databricks Workspace.

2. Interface

The platform provides a user-friendly interface that makes dealing with data easier and makes it available to data scientists and engineers.

3. Data Management

Users can work efficiently with huge and complicated datasets thanks to the tools for ingesting, organising, and managing data that Databricks offers.

4. Computation Management

Users can easily manage and scale their computational resources, thanks to Azure Databricks‘ distributed computing capabilities, enhancing performance and scalability.

5. Databricks Runtime

This component offers optimised and scalable environments for running data processing and machine learning workloads, ensuring efficient execution.

6. Job

Databricks supports job scheduling and orchestration, enabling automation of data workflows, saving time and reducing manual effort.

7. Model Management

Data scientists can deploy, monitor, and manage machine learning models efficiently, ensuring that models continuously improve and deliver value.

8. Authentication and Authorisation

Databricks employs strong authentication and authorisation security controls to guarantee data protection and conformity with organisational policies and regulations.

Databricks Machine Learning

Building, deploying, and managing machine learning models at scale is made possible for organisations via the cutting-edge platform of Azure Databricks machine learning. It makes machine learning accessible to data scientists and engineers by streamlining the whole lifecycle, from feature engineering and data preparation to model training and deployment.

Teams can easily collaborate, use distributed computing resources, and access many libraries and tools for developing and improving models. Additionally, the platform provides model governance and monitoring, guaranteeing that machine learning models are trustworthy, legal, and always evolving. Azure Databricks machine learning streamlines data conversion into useful insights, fostering efficiency and innovation across sectors.

Conclusion

Azure Databricks makes collaboration between data scientists and engineers effortless. Integrating Databricks Terraform streamlines infrastructure management, enhancing efficiency and scalability in data processing workflows.

To access Azure Databricks services and your workspace, perform the Azure Databricks log-in through the official portal. Azure Databricks pricing can be a little confusing, but the value in productivity and insights makes up for it. In a society where data is king, Azure Databricks is your go-to companion for surviving the data jungle. To succeed in your venture in the data world, include the Azure Databricks tutorial in your toolkit.

Frequently Asked Questions (FAQs)

1. What is Databricks, and why is it used?

Tasks, including data engineering, data science, and machine learning, are made simpler by the cloud-based data analytics platform Databricks. Large amounts of data are processed and analysed, and insights are drawn from them, allowing for the development of machine learning models and data-driven decision-making.

2. How is Databricks different from Azure?

Azure is Microsoft's cloud computing platform, and Azure Databricks is a subset of Azure dedicated to data analytics and machine learning. Azure Databricks is a data processing and analytics platform that provides specialised tools and environments.

3. Why use Databricks for ETL?

Databricks simplifies ETL (Extract, Transform, Load) procedures by enabling scalable data processing, data integration with multiple sources, and teamwork between data engineers and scientists. It speeds up the conversion of raw data into useful insights.

4. What are the benefits of Databricks?

Scalability, cloud service connection, teamwork, unified data analysis, safety functions, and automation capabilities are just a few advantages of Databricks in Azure. It gives businesses the ability to maximise their data assets.

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Is Python an Object Oriented Language?

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Is Python an Object Oriented Language?

There’s always been a debate among programmers as to whether or not Python is an Object-oriented Programming language. Today, we seek to find a reasonable answer to put an end to this debate by understanding in depth why Python is object oriented language. However, before we pass a final verdict on the kind of programming language that Python is, you must first understand what an OOP language is. Check out our free courses to get an edge over the competition. What is object-oriented programming (OOP)? Object-oriented programming (OOP) refers to the programming language in which the coders/developers explicitly define the data types, data structures, and also the types of functions that can be applied to the data structures. Thus, the data structures become “objects” incorporating both data and functions. In the OOP language, programs are organized and constructed around objects and not around logic and functions. 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That’s because it is heavily influenced by a combination of many other programming languages including JavaScript, CoffeeScript, Ruby, Swift, Groovy, and Go. Java, Objective C, C++, Ruby, Smalltalk, Visual Basic.NET, Simula, and JavaScript, are the few examples of OOP languages. And just like any other OOP language, Python too uses the fundamentals of OOP. For instance, in Python, Class means the same as it is for other OOP languages. Then, Python also retains the inheritance mechanism of OOP. To top that, Python can be integrated with other OOP languages like Java for developing applications in both languages that will incorporate the functionalities of both and you can call both the languages within each other to execute the application successfully. However, Python isn’t an OOP language through-and-through since it does not allow strong encapsulation. This is because its creator Guido van Rossum aimed to keep things simple and that meant not hiding data in the strictest sense of the term. Instead of encapsulation, in Python, there’s a convention for data hiding wherein you can prefix the data members with two underscores. Apart from this, Python supports all the basic features of OOP language. This answers the question, is python object oriented? So, there – mystery solved! Check out the trending Python Tutorial concepts in 2024 Advantages of Object Oriented Programming After we understand the facts to the question, is python object oriented, we must understand its advantages and why it should be used. Python is object oriented programming language, which works as a very fundamental part of the development of software, where OOP creates a class instead of just writing a program. This class contains data and its functions, all related to the customers. OOP comes with several advantages –  Re-using the code – It entails reusing certain facilities rather than continually developing them. Using a class is how this is accomplished. It can be used ‘n’ a number of times, depending on our needs. For example, in your coding, the car is your object. One of your colleagues requires a limousine car, while the other one needs a race car. While every person has a unique way of building their objects, this one is quite simple. The main object is ‘car’ while the requirements are just different types of cars. Using the inheritance technique in this example will make more sense. You can create one class, the car, and then create certain subclasses in which you can write different types of cars. What if you wish to alter every Car item, no matter what kind? This is the benefit of the OOP strategy. All car objects will automatically inherit any changes you make to your Car class. Maintenance of Code – Any programming language would benefit from this capability; it prevents users from redo work in various ways. Maintaining and updating the current codes by adding new modifications is always simple, time-saving, and a great benefit of OOP.  Productivity Increases – Less time consumption results in more work being completed, a better programmer being finished, more built-in functionality, and easier to understand, write, and maintain. A programmer using OOP may combine new software elements to create entirely new applications. It is made feasible by a number of libraries with a wealth of beneficial features. Unnecessary Data can be removed – This is a situation that develops when an identical piece of data is stored in two different places, such as two databases. One of the biggest benefits of OOP is the disposal of unnecessary data. Users can write common class definitions for comparable functions and inherit them if they require the same functionality in other classes. Security Maintenance – We retain security and provide required data for viewing by filtering out restricted data with the help of encrypting the data and abstraction mechanisms. Design Benefits – A consumer will gain design benefits from using OOPs in terms of designing and repairing things quickly and reducing risks. Here, object-oriented programming necessitates a lengthy and thorough design phase from the designers, which produces better designs with fewer faults. It is simpler to programmer all the non-one OOPs at a time when the programmer has reached certain crucial boundaries. Problem Solving Techniques – It is a good idea to break down a difficult issue into manageable pieces or individual components. OOP is an approach that excels at this behavior because it divides your software code into manageable pieces, one object at a time. The broken parts can be restored by future units that relate to an identical interface and provide details of the implementation, or they can be reused in approaches to various other issues. These advantages must be enough to understand why Python is object oriented language. Learn Software Development online from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs or Masters Programs to fast-track your career. Read our Popular Articles related to Software Development Why Learn to Code? How Learn to Code? How to Install Specific Version of NPM Package? Types of Inheritance in C++ What Should You Know? We hope this article helped you understand the fundamentals of OOP language and where Python really stands in this respect. Also, another thing that you hopefully learnt from this piece is that a programming language can be so much more than one ‘single’ definition! If You’re interested to learn more about Software Development, check out Master of Science in Computer Science from LJMU which is designed for working professionals and Offers12+ Projects & Assignments, 1-ON-1 With Industry Mentors, 500+ Hours Of Learning.
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by Mayank Sahu

20 Sep'11
How to Make Most of Being A Jack of Multiple Things!

5.1K+

How to Make Most of Being A Jack of Multiple Things!

This is an excerpt from the e-book ‘self.debug – An Emotional Guide To Being A World-Class Software Engineer’ written by Karan Kurani. It’s a guide to increasing your skill set as a software engineer to the next level by debugging yourself and your emotions. Karan Kurani is the co-founder and CTO of DoctorC, which is the leading marketplace in India connecting consumers with easy, affordable diagnostic & lab tests. DoctorC’s mission is to make healthcare simple, transparent and affordable. Karan is an alumnus of Cornell University with an overall experience of 8+ years. He has worked with GREE as a Lead Software engineer and founded two startups Shoutt and DoctorC. Interview with Karan Kurani, Co-founder & CTO, DoctorC Here’s an excerpt from the chapter ‘Hacking Skillz – Jack of more than 1 trade’ it talks about how being average in more than 1 thing is easier and more valuable than being excellent at just 1 thing. Check out our free courses to get an edge over the competition  Note – This guideline is most useful for the bottom 99% of the practising software engineers. So if you are part of the remaining 1% – you can safely skip this post. There is a surprisingly easy hack that you can apply to increase your value generally in life. Pick up more skills. It sounds obvious when put on paper but there is one subtlety which makes it a “hack” in my opinion. For this point, we turn to the excellent Scott Adams’ book – “How to fail at almost everything and still win big”. Speaking about being successful, he says – “… I tell them there’s a formula for it. You can manipulate your odds of success by how you choose to fill out the variables in the formula. The formula, roughly speaking, is that every skill you acquire doubles your odds of success.” He goes on to mention that the level of proficiency for a skill is not mentioned because – “… you can raise your market value by being merely good – not extraordinary – at more than one skill.” “To put the success formula into its simplest form: Good + Good > Excellent” upGrad’s Exclusive Software Development Webinar for you – SAAS Business – What is So Different? document.createElement('video'); https://cdn.upgrad.com/blog/mausmi-ambastha.mp4   Check out upGrad’s Java Bootcamp This subtlety makes it very easy to execute. You don’t need to be extraordinary, you just have to be ordinary/average. Hence, if you are an average software engineer and you have any of the skills mentioned below – Good at drawing Public speaking Managing people Have a knack to pick up people’s emotions An eye for design in product Spot problems in operational processes Shoot, edit and/or make videos Make original music Sing Writing essays/blog posts Or anything else Explore Our Software Development Free Courses Fundamentals of Cloud Computing JavaScript Basics from the scratch Data Structures and Algorithms Blockchain Technology React for Beginners Core Java Basics Java Node.js for Beginners Advanced JavaScript Check out upGrad’s Full Stack Development Bootcamp (JS/MERN)  Learn Software development courses online from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs, or Masters Programs to fast-track your career. You are immediately more valuable to yourself and your organisation vs someone is who is a very good software engineer only. So if you are a software engineer who can think of product ideas and execute independently (remember you only have to be of an average skill in it) – you have more than doubled your value. Leverage that skill. What Does A Software Developer Do? Explore our Popular Software Engineering Courses Master of Science in Computer Science from LJMU & IIITB Caltech CTME Cybersecurity Certificate Program Full Stack Development Bootcamp PG Program in Blockchain Executive PG Program in Full Stack Development View All our Courses Below Software Engineering Courses In-Demand Software Development Skills JavaScript Courses Core Java Courses Data Structures Courses Node.js Courses SQL Courses Full stack development Courses NFT Courses DevOps Courses Big Data Courses React.js Courses Cyber Security Courses Cloud Computing Courses Database Design Courses Python Courses Cryptocurrency Courses Just like programming, it’s an adventure to delve into your own mind. You can debug yourself – this book shows you how.   If you’re interested to learn more about full stack software development, check out upGrad & IIIT-B’s Executive PG Programme in Software Development – Specialization in Full Stack Development which is designed for working professionals and offers 500+ hours of rigorous training, 9+ projects and assignments, IIIT-B Alumni status, practical hands-on capstone projects & job assistance with top firms. Read our Popular Articles related to Software Development Why Learn to Code? How Learn to Code? How to Install Specific Version of NPM Package? Types of Inheritance in C++ What Should You Know?
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by Karan Kurani

06 Sep'18
Is AngularJS Right Choice For Your Next Mobile App Development?

5.17K+

Is AngularJS Right Choice For Your Next Mobile App Development?

Mobiles are something that we use every day and are an integral part of our lives. Nowadays each and every person has a mobile phone in their pocket. With the advancements of technologies, one can get a mobile phone no matter how big or small their budget is. In this age of mobile phones, we consider a phone that has no apps in it as useless. We have too many apps these days on our phones. From fine dining to fitness, from shopping to scrabble, we have an app for all our moods. Mobile apps are designed in such a way that they go with our phones configuration well. Android and MAC are the two major interfaces that we have in our mobiles these days. The apps that are being developed are usually compatible with these two major operating systems. Every day more and more apps are being introduced, updated and launched in our play stores or App stores in case of MAC users. These apps are really useful. We no longer need to search the internet for things that we need, it is just a tap away. Check out our free courses to get an edge over the competition  Explore Our Software Development Free Courses Fundamentals of Cloud Computing JavaScript Basics from the scratch Data Structures and Algorithms Blockchain Technology React for Beginners Core Java Basics Java Node.js for Beginners Advanced JavaScript What is AngularJs? When Android was yet to be launched in the market, Java was the most commonly used interface in mobiles. Even now when android has taken the center stage, java is not yet abolished. It is still considered one of the most potent and user- interactive interfaces out there. AngularJS is an app that was first launched by Google in the year 2009. This app uses the same JavaScript framework. AngularJS has come a long way and it has made some very impressive adjustments in its user interface. How to Become a Full Stack Developer Explore our Popular Software Engineering Courses Master of Science in Computer Science from LJMU & IIITB Caltech CTME Cybersecurity Certificate Program Full Stack Development Bootcamp PG Program in Blockchain Executive PG Program in Full Stack Development View All our Courses Below Software Engineering Courses AngularJS is basically an app that makes developing apps very easy, it helps in making super-dynamic web pages that are easy to use and easy to work with as well. We need web pages for literally everything. Every business, every start-up, every new idea that is been introduced needs a web page o promote it. Bust web pages are not too easy to work with, there are quite a few factors that need to be kept in mind before making a web page. Java is the most secure and the most optimum user interface when it comes to making web pages. Unlike Android and MAC, it has HTML support that makes the process of a web page making much easier. Check out upGrad’s Java Bootcamp  Learn Software Courses online from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs, or Masters Programs to fast-track your career. In-Demand Software Development Skills JavaScript Courses Core Java Courses Data Structures Courses Node.js Courses SQL Courses Full stack development Courses NFT Courses DevOps Courses Big Data Courses React.js Courses Cyber Security Courses Cloud Computing Courses Database Design Courses Python Courses Cryptocurrency Courses Uses of AngularJS AngularJS helps in extending HTML Templates, it also ennobles the users to use an advanced approach towards web page making and web page designing. Java is known for its better stability and security. AngularJS sticks to its own simple functionalities and thus is very easy to use. The modular approach makes coding easy. Also updating, testing and modifying codes for a web page is made easier with AngularJS. One can easily add AngularJS to a web page with the help of simple coding. What Does A Software Developer Do? upGrad’s Exclusive Software Development Webinar for you – SAAS Business – What is So Different? document.createElement('video'); https://cdn.upgrad.com/blog/mausmi-ambastha.mp4   Domains in which you can implement AngularJS To make sure that your web page is gaining popularity, some niches and search engine optimisation tools are to be incorporated in your web page. To make the idea known to all and gain popularity nothing can be better than a well-done web page. When you are using mobile for creating a web page AngularJS is your answer to all your questions. It will even help you develop a web app. Tips for best practices Angularjs Mobile Development app can help you with the following. Video streaming apps: Video streaming apps are really in demand right now. Apps like Netflix, Amazon Prime Videos, and YouTube etc are some of the most prominent examples. User review: Market research is a very important part of developing a web page. First, you need to see what your customers really want when you know what your customers want and need them providing them with the best solutions is better and more money efficient. Travel apps: Travel apps are not very uncommon nowadays. While Android and MAC will make decent apps, the performance of a JavaScript is really difficult to top. AngularJS mobile development can help develop such sophisticated apps. Weather apps: Something that is present by default in a smartphone is a weather app. It is widely used and a JavaScript will be able to develop and manage really impressive weather apps. Social apps: In this age of social media, we can hardly come across a person who does not have a social media account. Apps like Facebook, twitter, etc. all are developed with JavaScript and thus you can too do that with AngularJS. Read our Popular Articles related to Software Development Why Learn to Code? How Learn to Code? How to Install Specific Version of NPM Package? Types of Inheritance in C++ What Should You Know? Check out upGrad’s Full Stack Development Bootcamp (JS/MERN)  Everything you need ot know about Mobile App Development When it comes to developing and managing an app there are many ways one can do that. But if you are using your phones to develop a web page then AngularJS should be your best bet. If you’re interested to learn more about full stack software development, check out upGrad & IIIT-B’s Executive PG Programme in Software Development – Specialization in Full Stack Development which is designed for working professionals and offers 500+ hours of rigorous training, 9+ projects and assignments, IIIT-B Alumni status, practical hands-on capstone projects & job assistance with top firms.
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by Kavya Gajjar

29 Nov'18
Angular 7.0 – What is New in its new Avatar?

5.34K+

Angular 7.0 – What is New in its new Avatar?

The strength of a building is in its concrete pillars. So is the framework for a web application. A software framework provides a standard way to design, build and deploy applications. In a world of Java platforms, the Javascript framework was the most uttered buzzword until Angular gained importance. Now, let us see some Salient features of Angular. Angular is an Open source Javascript framework which morphed into what is called ‘Typescript’ now. Code generation and development are rapid compared to a (Javascript) JS code. The Command line prompt (CLI) has commands to build application faster. The Code is well organized as it uses components hence improves productivity A directive is a dynamic function that handles variables, if statements, and loops in HTML Angular is cross-platform hence it is independent of the browser and the operating system Angular CLI comes with testing tools that are helpful for unit testing Check out our free courses to get an edge over the competition Learn Software engineering courses online from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs, or Masters Programs to fast-track your career. AngularJS – A precursor to Angular AngularJS was the first product in the Angular series introduced by Google in 2009. It is a client-side or a front-end framework. What this means is that the code runs on the user’s browser and not on the web server. AngularJS was written purely in Javascript. This was developed to decouple the application logic, however, it was the only fairly successful and paved way for Angular with its current avatar 7.0. Is AngularJS Right Choice For Your Next Mobile App Development? Check out upGrad’s Java Bootcamp Explore Our Software Development Free Courses Fundamentals of Cloud Computing JavaScript Basics from the scratch Data Structures and Algorithms Blockchain Technology React for Beginners Core Java Basics Java Node.js for Beginners Advanced JavaScript Angular 7.0 Framework Let us understand briefly the building blocks of Angular: Module:  Basically breaks down application’s core screens logically. For example, if there is a shopping cart page, one might want to have a shopping cart module. Component: This is a section of the UI and is a ‘class’ as in object-oriented programming. This is the fundamental building block of the User Interface (UI). The component class contains the core logic for the page. ” upGrad’s Exclusive Software Development Webinar for you – SAAS Business – What is So Different? document.createElement('video'); https://cdn.upgrad.com/blog/mausmi-ambastha.mp4 ” Components are made up of: Template: A template is written in HTML or they can be HTML files. It can have dynamic properties like variables and use of ‘if conditions’ is possible with directives. Class: Is the code for the application. The code is written in Typescript. Typescript is a superset of Javascript. Typescript is a ‘static’ type language where variables are declared with types defined. Hence errors are caught on the compilation of the program rather than being caught at runtime. Angular classes can be written in Javascript too. Components have data properties and methods.  Metadata: To identify that the class is an Angular component one uses Metadata. Metadata can be attached to Typescript using a decorator declaration. Let us walk through a simple component in Angular. Import {component} from  ‘’@angular/core’’ ; Here the component package is imported from Angular core library. @component ({     (this is a decorator declaration) Selector : ‘myapplication’   …(.this is the custom HTML tag that we use to insert the component. ) Template: ‘<h1> Hello {(name)}</h1> (name is a variable) }) export class AppComponent{       (This is the component class and ‘name’ is a property in the class) name = ‘ Angular framework’; } <body> <myapplication>Loading a sample app component here..</myapplication> </body> Data binding: A process that allows communication between the component and the view. So data is passed from the component to the view and vice-versa. There are four types of data binding. In Interpolation and property binding the data is sent from the component to the view and in event binding, the data is sent to the component from the view or the template. In two-way binding, the data travels both ways. Service: This is a class that is written for reusable code, i.e. code that can be accessed from multiple components. These classes send data and functionality across components. Service classes can also get data from a database or a js/JSON file. When one uses a Service class, the code looks organized and fragmented. Directive: Customizing HTML attributes to extend the power of HTML is a directive.  ngIf, ngFor, ngModel are directives. ngModel is responsible for, binding the view into the model, which other directives such as input, textarea or Select require. Here is a piece of code that shows how ngmodel works. <div ng-app=”” ng-init=”firstName=’John'”> <p>Input a name in the input box:</p> <p>Name: <input type=”text” ng-model=”firstName”></p> <p>You wrote: {{ firstName }}</p> </div> Explore our Popular Software Engineering Courses Master of Science in Computer Science from LJMU & IIITB Caltech CTME Cybersecurity Certificate Program Full Stack Development Bootcamp PG Program in Blockchain Executive PG Program in Full Stack Development View All our Courses Below Software Engineering Courses So, firstName was initialized to ‘John’ and when one enters a new value in the text box, firstName will hold the new name entered.Check out upGrad’s Full Stack Development Bootcamp (JS/MERN)  Dependency injection (DI): Classes need objects to perform a particular function. Instead of creating the objects each time in the class, the class receives the objects(dependencies) from external sources. In the DI framework following are the steps that need to be followed: Create a Service Class eg. Employeedata Register this service class with the Injector. An Injector is a container that holds all the dependency classes Declare the Employeedata class as a dependency in the class that needs it eg. EmployeeList Class What Does A Software Developer Do? Versions of Angular After AngularJS, Angular 2 was released which was a complete rewrite of AngularJS. Components got added from Angular 2. Angular 2 was not backwards compatible. Angular is made up of a bunch of packages and the Router package in Angular 3 was not in sync. Hence the Angular team moved on to Angular 4 which was released with all corrections and features with backward compatibility to Angular 2. Subsequently Angular 5, Angular 6 was released and the latest version now is Angular 7. What’s new in Angular 7.0? CLI Prompts: A change in the Angular command line prompt is that the CLI prompts the user, to select the features while running the common commands. Features like Angular routing or the format of the style-sheet and many more can be selected by the user. In the previous versions of Angular one had to remember and type the options on the prompt. Application Performance : Common errors: In this version, the angular team analyzed and removed some common mistakes made by the developers like the ‘reflect-metadata’ polyfill was included in production which is actually needed only in development. Bundle-Budgets: To improve the performance of the application, default Bundle Budgets are defined in angular.JSON. The developers will now be warned if the application bundle size exceeds a limit of 5MB and when the initial bundle exceeds 2MB. These values can be modified in the JSON file as needed. Angular Material & the CDK: The Angular component development kit(CDK) was created from the Angular Material(UI for libraries).The two new features added in the CDK are Virtual Scrolling: To load only the visible part on the screen, the <cdk-virtual-scroll-viewport> package provides helpers for directives that react to scroll events. So, it will render only the items that can fit on the screen. When a user scrolls through the list then the DOM will load and unload the elements dynamically based on the display size. Drag and Drop support: The @angular/cdk/drag-drop module helps free drag and drop feature of an element, reordering items in a list, moving items in a list and so on. This is done with the help of cdkDropList and cdkDrag directives. Angular 7.0 has updated its dependencies to support Typescript 3.1, RxJS 6.3 and Node 10. Improved accessibility of Selects: The native ’select’ has some performance, accessibility, and usability advantages hence using a native select element inside a ‘mat-form-field’ is a new feature in Angular 7.0. Angular elements: A small change but new in Angular 7 “Angular Elements now supports content projection using web standards for custom elements.” — This is what Stephen Fluin, Angular says. Working with partners: The Angular team has been working to partner with community projects that have been launched recently one of them is Angular Console. Angular Console is a user interface for Angular CLI. It is good for beginners and experts as it is a lot easier than prompts. There are different UI versions for Windows and Mac OS. In-Demand Software Development Skills JavaScript Courses Core Java Courses Data Structures Courses Node.js Courses SQL Courses Full stack development Courses NFT Courses DevOps Courses Big Data Courses React.js Courses Cyber Security Courses Cloud Computing Courses Database Design Courses Python Courses Cryptocurrency Courses A Beginner’s Guide to MVC Architecture in Java Most of the changes in Angular 7.0 are on performance improvements and bug fixing. Hence, it is the safest version to date and migrating from earlier versions is simple. Ivy is the new upcoming rendering engine that the Angular team is working on. Till then, let us wait and watch. Keep Learning! Read our Popular Articles related to Software Development Why Learn to Code? How Learn to Code? How to Install Specific Version of NPM Package? Types of Inheritance in C++ What Should You Know? If you’re interested to learn more about full stack software development, check out upGrad & IIIT-B’s Executive PG Programme in Software Development – Specialization in Full Stack Development which is designed for working professionals and offers 500+ hours of rigorous training, 9+ projects and assignments, IIIT-B Alumni status, practical hands-on capstone projects & job assistance with top firms.
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by Saurabh Hooda

28 Dec'18
IntelliJ IDEA vs. Eclipse: The Holy War!

35.45K+

IntelliJ IDEA vs. Eclipse: The Holy War!

Batman vs. Superman, Marvel vs. DC, Windows vs. Linux, Java vs. C#, are a few examples of some eternal wars. One such battle is IntelliJ IDEA vs. Eclipse – the selection of the best Integrated Development Environment – affectionately known as the IDE. There are many IDEs in the market today for Java development – the likes of Netbeans, DrJava, and of course Eclipse and IntelliJ IDEA are just to name a few. These IDEs ease the workflow of a developer by providing them with a complete and integrated environment. The support of various plugins coupled with the ability to handle large projects seamlessly makes the IDEs an irreplaceable tool in any developer’s toolkit. Learn Software development courses online from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs, or Masters Programs to fast-track your career. Today we’ll be looking at two such IDEs in depth, and taking them head to head. We’ll look at how Eclipse and IntelliJ IDEA compete against each other in terms of the features they offer. Check out our free courses to get an edge over the competition. Eclipse IDE Eclipse is by far the most commonly used IDE by budding as well as experienced developers. It is supported by a large community of developers, great documentation to get you up and running, and the best part – the support of thousands of plugins to make your experience even better. Eclipse is mainly used for developing web, mobile, desktop, enterprise, or embedded system applications. It can be used open-source under Eclipse public license. Eclipse is written mostly in Java and runs seamlessly on the three major operating systems – Windows, Linux, and Mac OS. Although well known for Java programming, it also supports various other languages including Groovy, Scala, and Python. Check out upGrad’s Advanced Certification in Cloud Computing Eclipse is capable of opening multiple projects in the same window thereby giving you control over dependencies and relations. However, regarding user experience and the ease of code completion and inspection, Eclipse falls short despite having many plugins, especially checkstyle. If you’re a rookie programmer, you’d appreciate an auto-complete feature that can show the list of the most relevant symbols applicable in your context. Eclipse falls short on that. Just for argument’s sake, we can use this point in favour of Eclipse saying it offers a better learning curve, but at the end of the day, it’s really about how easy it is to get your application up and running. Having said that, Eclipse is and will continue to be, widely used all over the globe. Let’s take a look at some of its features that keep it going despite the limitations. A Beginner’s Guide to MVC Architecture in Java Check out upGrad’s Advanced Certification in Blockchain Salient Features of Eclipse Mylyn: Mylyn is a subsystem of eclipse for task management. The advantages of Mylyn are quite well known, but you won’t appreciate them till you use it and see them for yourself. Mylyn helps developers track their tasks in a task list view – without having to open a browser. Mylyn provides an easy way of keeping track of all the files related to your current work. Software Updates: Eclipse provides frequent and regular software updates. The ability to simply update your IDE from the console itself without worrying about dependencies, or unzipping a zipped file makes a developer’s life easier. Everything is managed through this simple dialogue: Enterprise Java Tooling: Eclipse has the best tooling to offer for JEE projects. It offers an outstanding amount of functionalities – from wizards for Web Service creation, XML editing, to excellent JSF and JPA tooling. In essence, it’s a very simple feature but is very useful. The ability to control and deploy the server of your choice is commendable. Also, if your server isn’t on the list, you’ll likely find a plug-in to support your server. Model Driven Development: The Eclipse Modelling Project offers a set of modelling tools for those using EMF or related techniques for modelling. The Ecore Tools that are used to work with the EMF models allow you to create and modify your ecore using a standard tree, or through the visual Ecore diagram editor (see below). 15 Must-Know Spring MVC Interview Questions IntelliJ IDEA IDE IntelliJ IDEA is a fully featured IDE developed by JetBrains. JetBrains is an established company and famous for the Resharper plugin for Visual Studio that is beneficial for C# development. The IntelliJ IDEA comes in two editions – Free community edition and an Ultimate edition. The free community edition of IntelliJ IDEA offers the basic features useful for developing Android and Java applications. Google’s official Android development platform – Android Studio, is also based on IntelliJ IDEA’s free community edition. This IDE supports many languages from Java, Kotlin, Scala, Android, Mercurial, Groovy, Gradle, Git, SVN, SBT, and CVS and also offers basics (yet essential) features like code completion, deep static analysis, intelligent refactorings, debugger, test runner, etc. The Ultimate Edition, on the other hand, has the most advanced set of features for developing web and desktop applications. Some of the additional features of the Ultimate Edition Supports the integration of Spring framework. Supports web app scripting languages like JavaScript, CoffeeScript, TypeScript, and many more. Supports web development framework like Node.js, Angular, and React Java EE support such as JSF, JAX-RS, JPA, CDI, etc Eclipse falls short in providing good assistance for code completion despite supporting many plugins. The default code compilation in IntelliJ is much faster and better, especially if you’re a newbie programmer – IntelliJ can help you improve your code. One of them is Smart Completion which provides you with the list of the most relevant symbols applicable in your current context. This as well as other completions constantly learn from your coding practices and moves your most frequently used packages and classes to the top of the list, so that you can select the right option faster. Another such feature is Chain completion which is even smarter than the Smart Completion. It lists all the applicable symbols by making use of getters or methods which makes it even faster. There are many other out-of-the-box features too which make IntelliJ IDEA a truly intelligent IDE What is Test-driven Development: A Newbie’s Guide Features which make IntelliJ IDEA a truly intelligent Version Control: IntelliJ IDEA offers the developers with a unified interface for most of the version control systems. Git, SVN, Mercurial, CVS, and Perforce are just to name a few. This single interface lets you browse the history of changes, manage branches, and merge conflicts. Build Tools: This IDE supports all the major build tools like Gradle, Maven, Gant, SBT, NPM, Grunt, Gulp, and more. These tools eventually help automate compiling, packaging, running tests, deploying, and other activities. Application Servers: It supports major application servers like TomCat, JBoss, WebSphere, Glassfish, and many more. It allows you to deploy your code onto the application servers and debug the deployed code from the IDE itself. Indexing: IntelliJ indexes the entire project when you first start it up. That way, it doesn’t need to search for files every time you need a resource (unlike Eclipse). This significantly speeds up the search process. Polyglot Support: As we’ve said earlier, IntelliJ IDEA supports many JVM and non-JVM frameworks and languages out of the box. Frameworks and languages like AngularJS, React, JavaScript, TypeScript, Scala, SQL are just a few examples of the wide array of languages supported by IntelliJ IDEA. All these features make IntelliJ IDEA a clear winner when it comes to usability and user experience. However, it falls short on the number of plugins offered. Compared to 1,276 plugins offered by Eclipse, IntelliJ only offers ~700 plugins. But, this shouldn’t be a dealbreaker as IntelliJ offers a lot of new and improved features out of the box, without needing any plugin – unlike Eclipse. How to Become a Full Stack Developer upGrad’s Exclusive Software Development Webinar for you – SAAS Business – What is So Different? document.createElement('video'); https://cdn.upgrad.com/blog/mausmi-ambastha.mp4   In Conclusion… If you’re a beginner in the field of Java development, your choice should be IntelliJ IDEA – thanks to the various beginner-friendly features it has to offer. However, if you’re looking to work on large and complex projects, and have a fair bit of expertise in Java programming, you can opt for Eclipse instead. Like with every other debate, at the end of the day it’s all a matter of preferences, but there’s no way you can ignore IntelliJ IDEA.   If you’re interested to learn more about full stack software development, check out upGrad & IIIT-B’s Executive PG Programme in Software Development – Specialization in Full Stack Development which is designed for working professionals and offers 500+ hours of rigorous training, 9+ projects and assignments, IIIT-B Alumni status, practical hands-on capstone projects & job assistance with top firms.
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by Arjun Mathur

10 Jun'19
Python Projects for Beginners &#8211; List of 7

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Python Projects for Beginners &#8211; List of 7

Learning a new language – whether it is for speaking to humans or to computers – is always a mixture of fun and challenge. Mastery is not an easy road to travel and that is why little wins along the way are so necessary for boosting self-confidence and making you preserve. The same can be achieved through projects that have a specific aim and allow you to put your new-found knowledge into practice. When learning a coding language like Python, these projects become all the more crucial as they help you firm your grip on a vast language that you will keep refining your entire life. So, where do you begin? As a beginner, which projects do you pick up that is not overwhelming but are challenging and rewarding at the same time? Check out our free courses to get an edge over the competition. Learn Software Development online from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs or Masters Programs to fast-track your career.   Check out our free technology courses to get an edge over the competition. The answer? Whatever you pick from the list below. What’s the number? Concepts needed: print, while loop, if/else statements, random function, input/ output This is a guessing game that the user plays with the program/computer. The program generates a random number using the random function. The user tries to guess it by inputting a value. The program then indicates whether the guess is right or not. If it is wrong, then the program should tell how off the guess was. If it is right, there should be another positive indicator. You can place a limit on the number of guesses allowed. You will also need functions to compare the inputted number with the guessed number, to compute the difference between the two, and to check whether an actual number was inputted or not.  Explore Our Software Development Free Courses Fundamentals of Cloud Computing JavaScript Basics from the scratch Data Structures and Algorithms Blockchain Technology React for Beginners Core Java Basics Java Node.js for Beginners Advanced JavaScript Spin a yarn Concepts needed: strings, concatenation, variables, print. Things get more interesting here since strings are infinitely more complex to play with at the beginning.  The program first prompts the user to enter a series of inputs. These can be an adjective, a preposition, a proper noun, etc. Once all the inputs are in place, they are placed in a premade story template using concatenation. In the end, the full story is printed out to read some misintended madness! Check out upGrad’s Java Bootcamp What’s the word? Concepts needed: strings, variables, random function, variables, input/ output Similar to ‘What’s the Number?’, this name focuses on the user having to guess the randomly generated word. You can create a list from which the word would have to be guessed and also set a cap on the number of guesses allowed.  After this, you can create the rules yourself! When the user inputs the word, you can indicate whether the alphabet written appears in this particular position or not. You will need a function to check if the user is inputting alphabets or numbers and to display error messages appropriately.  Explore our Popular Software Engineering Courses Master of Science in Computer Science from LJMU & IIITB Caltech CTME Cybersecurity Certificate Program Full Stack Development Bootcamp PG Program in Blockchain Executive PG Program in Full Stack Development View All our Courses Below Software Engineering Courses Check out upGrad’s Full Stack Development Bootcamp (JS/MERN) Rock, paper, scissors Concepts needed: random function, print, input/ output, variables If you are tired of having no playmate, then a 5-minute stint of rock, paper, scissors with the computer and designed by you, yourself will improve your mood. We again use the random function here. You make a move first and then the program makes one. To indicate the move, you can either use a single alphabet or input an entire string. A function will have to be set up to check the validity of the move. Using another function, the winner of that round is decided. You can then either give an option of playing again or decide a pre-determined number of moves in advance. A scorekeeping function will also have to be created which will return the winner at the end.  Compute, calculate Concepts needed: functions, input/ output, variables,  This project involves building a simple calculator that can perform mathematical functions (which you decide). You can start with the basic BODMAS, and then progress to logarithms and exponents. You’ll have to keep tabs on what the user is entering and get the answer to print at the end. Whether the values in the middle of the calculation keep showing up is up to you.  upGrad’s Exclusive Software Development Webinar for you – SAAS Business – What is So Different? document.createElement('video'); https://cdn.upgrad.com/blog/mausmi-ambastha.mp4   Leap it! Concepts needed: functions, input/ output, boolean, print In this program, you input a year and check whether it is a leap year or not. For this, you’ll have to create a function that recognizes the pattern of leap years and can try fitting the inputted year into the pattern. In the end, you can print the result using a boolean expression.  Find out, Fibonacci! Concepts needed: functions, input/output, boolean, print You input a number and the function created checks whether the number belongs to the Fibonacci sequence or not. The underlying workings are similar to the above ‘Leap it!’ program.  One common theme in all the above projects is that they will help you to get your basics right. You will be the developer and the bug fixer. Not to mention, you’ll be closing working with creating and implementing a variety of functions along with working with variables, strings, integers, operators, etc. Just like 2 + 2 is the building block of your mathematics knowledge, so are these concepts, and learning about them in a fun way through building projects will help to understand and retain them more. If you are interested to become a software engineer, check out M.Sc. in Computer Science by upGrad, IIIT Bangalore, and Liverpool John Moores University which is designed for working professionals and provide 30+ projects & assignments, IIIT-B & LJMU Alumni status, 6 unique specializations, more than 500 hours of rigorous training & job placement assistance with top firms. Explore our Popular Software Engineering Courses Master of Science in Computer Science from LJMU & IIITB Caltech CTME Cybersecurity Certificate Program Full Stack Development Bootcamp PG Program in Blockchain Executive PG Program in Full Stack Development View All our Courses Below Software Engineering Courses
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by Ashish Korukonda

29 Aug'19