Five tips for front-end web development


Don’t you just love exploring beautiful and neat sites with a clean user interface? While most of us would reply with an assertive ‘YES,’ little, do we know the kind of effort and skill that goes into making a website attractive and user-friendly. The secret to creating an impressive site is to master the art of front-end development, and no, it is not as easy as it seems!

However, it is not impossible either.  Here are five tips that’ll help you get better in front-end design and web development.

  1. Automate!

As a front-end developer, you already have to take care of minute little details that can get overwhelming at times. You have to invest your time on things like Boilerplate, testing, workflow, dependency management, performance, optimization, build, deployment, and so on. Doesn’t sound easy, right?

Take some steam off yourself and incorporate automation into your workflow. While automation can take care of things such as optimization, testing, etc., you can focus on the core areas of front-end development such as HTML, CSS, creating the client-side software, enhancing the user-experience, and so on. By doing so, not only will your productivity increase, but you will also learn to use your time to focus on the areas that’ll improve the overall functionality of your site.  Grunt, Gulp, and Broccoli are some very efficient automation tools.

  1. Refactor Your Code From Time To Time.

By “refactoring” your code, you’re only enhancing the code without tampering with its functionality. This will improve the quality and readability quotient of your code and the more often you do it, your code will continually be updated into a cleaner and fresher version of what it was before. Apart from that, one of the most significant advantages that refactoring offers is that it ensures your code remains free from plagiarism.

  1. Learning Command Line Is The Way To Go.

It is a standard convention among developers to use GUI tools to power the terminal. What most of them don’t realize is that by doing so, they end up spending a significant portion of their valuable time in handling GUI tools than making progress on the terminal. The right way to go about it is learning the command line. Start with the basics of the command line and advance to higher levels as you go, and you’ll find that you can complete several tasks with much more ease and efficiency with command line tools than with GUI tools. Moreover, automating the terminal with appropriate commands is a great way to save time and energy.

  1. Invest In Productive Tools.

The Internet is teeming with a host of web development tools, from browser add-ons to smart plugins, the amount of choices available now is massive! So, why not invest in some really productive web tools that’ll help you improve your front-end designing skills? Tools like Sublime Text, jQuery, Emmet, GitHub, Bootstrap, and Sass are nothing short of a godsend for web developers.

  1. Always Be Curious.

A front-end developer has to keep himself/herself updated continuously with the latest news and innovations in the field. You need to take a proactive stand and learn new things about front-end development from informative blogs and videos. CSS Weekly, HTML5 Weekly, JavaScript Weekly, Web Design Weekly, Codrops, and ShopTalk Podcast are some of the most informative and useful learning sources for front-end developers. Also, make it a point to attend conferences and webinars. These meet-ups provide excellent opportunities to expand your network and get acquainted with talented people.
While these tips will surely help you become a better front-end designer, in the long run, you must always remember two things while designing your platform – keep it simple and neat, and don’t forget to create your signature style. And for all you peeps interested in making it big in front-end development, Coding Ninjas has the perfect course for you! To know more, drop by at our website.

Getting Started With ML Using Python


With Big Data, Machine Learning (ML), and Artificial Intelligence (AI) rapidly becoming the order of the day, an increasing number of people are diving into these trending fields. Today, we’re going to focus on ML and show you how you can step into the world of machine learning using one of the most powerful programming languages in the world right now – Python.

If you are a beginner, this guide to using Python for ML is just what you need.

Let’s get started without further ado!

  1. Developing Basic Knowledge of Python

This is a no-brainer. To start off with ML using Python, one must have some ground knowledge about the programming language. You can begin by installing Anaconda, an industrial-strength Python implementation for Linux, Windows, and OSX, replete with all the necessary tools required for ML.

Get your hands on useful study material on the Internet. Here are some excellent picks:

  1. Acquire Foundational Machine Learning Skills

No, you do not need an extensive and in-depth knowledge of ML to be able to practice it. However, you must have basic knowledge about machine learning to get started in the field. Having a strong background in Mathematics and programming skills will come in very handy here. So, brushing up on your statistical and programming skills (in C, C++, Java, Python) is highly recommended.

Also, you need to be familiar with popular ML algorithms like linear and logistic regression, neural networks, decision trees, random forest, and clustering, to name a few. Try to get accustomed to trending ML frameworks like TensorFlow and Azure.

  1. Scientific Python Packages

Not many are aware of the fact that there exist open source Python libraries that can be efficiently put to use for practical machine learning applications. These libraries are known as scientific Python libraries, primarily used for performing basic ML tasks. Below are the most popular Python libraries:

  • Scikit-learn – Includes all the tools used for ML and data mining. It is considered to be the de facto standard library for ML in Python.
  • Matplotlib – It is a 2D plotting library that can be used in Python scripts and iPython shells, to create publication quality figures.
  • NumPy – It is the most suitable package for scientific computing using Python. It can also be used as a multi-dimensional container of generic data.
  • Pandas – This is great for accessing high-performance, handy data structures and data analysis tools for Python.
  1. Explore ML Topics With Python

After you’ve thoroughly explored the Python libraries, it’s time to move on to learning the useful machine learning algorithms. You can start with Jake VanderPlas’ K-means Clustering and then move onto Decision Trees (The Grimm Scientist). Linear Regression by Jake VanderPlas is also great for getting acquainted with ML linear regression algorithms.

  1. Deep Learning With Python

Deep learning techniques and deep neural networks are increasingly becoming the buzzwords in the industry. If you are a stranger to deep learning, start off with Michael Nielsen’s book, Neural Networks, and Deep Learning.

Python has two very resourceful deep learning libraries – Theano and Caffe. While Theano efficiently allows you to function with mathematical expressions involving multi-dimensional arrays, all the while allowing you to define, optimize, and evaluate them, Caffe’s deep learning infrastructure focuses on speed, modularity, and expression.

Python is a versatile programming language extensively used for scientific computing and machine learning. It is indeed an excellent choice for Machine Learning because of three primary reasons – first, it is a simple language; second, it is backed by a strong community, and third, it has impressive stack of useful libraries. And with so many tutorials, informative content, and online study materials, now is the best time to get started in ML with Python.  Also, if you need expert guidance, you can always drop by at Coding Ninjas, where our courses on Machine Learning help you understand the nitty-grittys of ML using Python.

Approaching Data Structures And Algorithms To Rock Your Next Coding Interview


When it comes to coding interviews, most people tend to focus on one thing – programming – while forsaking all others. They dedicate a lot of their time and effort in acing the art of programming, but surprisingly enough, not many can make it through the end of the tunnel.

No, we do not discourage practicing! We’re only asking you to focus on the basics first – data structures and algorithms. Without an in-depth knowledge of these two core concepts of Computer Science, you’re not going to make any real progress. So, let’s get started on how to approach data structures and algorithms to ace your next coding interview!

Data Structures And Algorithms

The first thing that you’ve got to remember while approaching data structures and algorithms is that you DON’T need to learn each data structure and its sub-structures by heart. If you can, great for you! But such an extensive knowledge is not required in practical applications. For instance, there are high chances that in you will never have to implement a red-black tree node removal algorithm ever in your career, but you MUST be able to identify when you can use a binary tree to solve a particular issue.

Instead of focusing on everything at once, take baby steps and focus on learning the core data structures and algorithms such as hash tables, BackTracking, brute force, linked lists, array and strings, and binary search trees. And while you’re at it, strive to learn two things:

  1. Visualizing data structures

The mark of a good coder is the ability to visualize data structures, to intuitively picture what a data structure looks like, how can it be implemented, and the patterns in which it is stored in the abstract as well as in the memory of your computer. The best way to start is by drawing it and materializing your vision on paper. If you can master this, it will help you solve both simple queues and stacks and complex self-balancing trees.

  1. Learn to incorporate data structures and algorithms in your codes

Although it is true that you won’t be able to master data structures fully until you are getting hands-on experience with practical issues, you have to keep practicing. You have to understand the intricacies of algorithms and data structures and then only you will learn when to use a hash, when to implement a tree, and when to use min-heap.

How To Approach Data Structures And Algorithms?

As we’ve mentioned earlier, the best way to study data structures and algorithms is to implement them in your codes. Even if you don’t have time to code up every single bit, at least try to do the tricky ones. When you get comfortable with the crafty bits of algorithms and data structures, you can easily modify them in your interview according to the problem you’re asked to solve.

To get started off we suggest you go through these books:

Introduction to Algorithms

Data Structures and Algorithms in Java

Data Structures and Algorithms in C++

Algorithms and Data Structures: The Basic Toolbox

If you’d rather learn from tutorials, we have listed that out for you too:

The Coding Interview Bootcamp: Algorithms + Data Structures

Introduction to Data Structures & Algorithms in Java

Data Structures and Algorithms: Deep Dive Using Java

If you try to learn by focusing on at least two or three of these books and online tutorials, by the time you are done with them, you’ll be ready to face your interview. And if you’re interested in sharpening your coding skills with data structures and algorithms, you can opt for Coding Ninja’s Interview Preparation Course – Triumph.

We’re always here to help!

Improve Your Coding Skills This Semester Break


Coding is the secret sauce behind the marvels of technology. Every software behind the major technological innovations such as smart devices, IoT, web apps and mobile apps, AI, ML, Deep Learning, is powered by robust codes. In fact, coding is heavily influencing all the major industries in the world today. Stressing the importance of coding, Steve Jobs had once stated:

“Everybody in this country should learn how to program a computer… because it teaches you how to think.”

Apart from teaching you how to think, coding is also an excellent career option. There is always a great demand for skilled and trained professionals who have a flair in coding and are well-versed with the major programming languages. If you know how to code, the world of IT will provide you with an array of options such as data developer, data analyst, data architect, data engineer, and so on. Also, today there are many coding internships offered by reputed companies, so, even freshers can get their career started in coding.  

So, why not utilize this semester break wisely by strengthening your coding skills?

Online platforms are a great way to get introduced to the world of coding. They allow you to learn according to your own pace and convenience. Coding Ninjas has some of the most well-crafted online coding courses. There are both Foundation Courses for beginners as well as Advanced Courses. Let’s have a look at them!

Foundation Courses:

  1. Inception – C++ Foundation with Data Structures

Course duration: 2-3 months

Dedication time: Minimum 6-7 hours per week

Topics covered: Flow Charts; Conditionals and Loops; Operators and Patterns; Functions; Arrays; Strings; Pointers, and Dynamic Allocation.

C++ is a highly efficient and powerful Object Oriented Programming Language including concepts such as Data hiding, Dynamic Binding, Polymorphism, Operator Encapsulation, and Inheritance. In this foundation course module, our expert instructors will walk you through the basics of the programming language and move on to more complex concepts like Pointers and Dynamic Allocation. In the course of thirty lectures, students will learn how to solve over 300 problems.

  1. Nucleus – JAVA Foundation with Data Structures

Course duration: 2-3 months

Dedication time: Minimum 6-7 hours per week

Topics covered: Flow Charts; Conditionals and Loops; Operators and Patterns; Functions; Arrays; Strings, and Object Oriented Programming

Java is one of the most popular programming languages in the world today that has found its applications across various industries. In this course, students will receive around twenty-eight lectures from our expert instructors and will solve more than 300 coding problems. First, students will be introduced to the preliminary fundamentals of software development, and then gradually the focus will shift towards complex coding approaches.

Advanced Courses

  1. Eminence – Competitive Programming Course

Course duration: 2-3 months

Dedication time: Minimum 6-7 hours per week

Topics covered: Introduction To Competitive Programming; Recursion, Variations Of Binary Search, Variations Of Merge Sort; Number Theory; Game Theory, Probability; Dynamic Programming; etc.

This course has been specially designed to introduce the students and prepare them for solving computational problems efficiently in the field of competitive programming. By the end of the course, with almost thirty topics covered, you’ll be all ready to take part in programming competitions and face tough challenges easily.

  1. Cognizance – Machine Learning

Course duration: 2-3 months

Dedication time: Minimum 6-7 hours per week

Topics covered: Supervised Learning; Unsupervised Learning; Linear Regression; K-Mean Algorithm; Data Visualisation; Deep Learning; Python; Github, and TensorFlow.

Machine Learning (ML) is one of the hottest topics in the world of Computer Science. ML algorithms are everywhere, from online shopping sites and music platforms to self-driving cars. With endless possibilities, ML is something you should definitely consider learning. This course will not only help you brush up on the basic concepts of ML but also help you explore new areas of research and applications of ML.

If you feel like getting hands-on training from instructors, Coding Ninjas also has Classroom Programs. In addition to the online courses mentioned above, the classroom courses have two additional programs – Alchemy and Envision. While Alchemy focuses on teaching web development with Ruby on Rails and the tools used,  Envision trains students in android app development.

So, are you ready to make the best use of your semester break with coding?

Python vs Java: How Do They Compare?

When it comes to programming and coding, the programming language only plays half the role. Most of the heavyweight work is done by the ability of the coder to think on his toes – irrespective of the language. Having said that, it’s still a pickle of a situation if you’re new to the world of programming but know little about the differences in various programming languages. Today, we’ll look at a comparison between two of the most popular languages among developers far and wide – Java and Python,

Both these programming languages have their similarities and unique features that set them apart. The most striking similarity between Python and Java is their “object-oriented” design. However, they have prominent differences too.

Let’s us take a closer look at the areas where Python and Java differ from each other.

Dynamic vs. Static Typing

The key difference between Python and Java is that while the former is dynamically typed, the latter is statically typed.

When we say that Python is dynamically typed, we mean to say Python allows you to alter the type of variables used. For instance, you can replace an integer in your code with a string. However, you need to ensure that the object that a name refers to supports the operations necessary for running that particular object instances in the code. For example, a code may have two types of object – Cat, and Dog. While Cat and Dog may both support the operation “run,” Dog also corresponds to “friend.” As long as the code only refers to the common operation“ run,” it won’t matter if it pertains to Cat or Dog. This is known as “Duck Typing.”

Contrary to this, Java requires you to strictly define the type of a variable the instant you first feed it in the code. You cannot change the variable type later in the program. This is known as static typing.

While many coders argue that dynamic typing is convenient and more comfortable to work with, others would argue that static typing helps reduce the risk of undetected errors in the code.

Indentation vs. Braces

Like most programming languages, Java uses curly braces to define the beginning and end of every function and class in the code. Python, on the other hand, uses indentation to segregate the code into blocks. An advantage of indentation is that it allows you to build your program in a way that’s easier to read and understand. Also, there remains no possibility of errors in the code due to missing braces. However, while working with Python, you need to make sure to end the indentation with a colon.

Compatibility vs. Speed

When it comes to portability and compatibility, Java has the upper hand over Python – it can be used to design platform-independent apps. If any device (PC or mobile) can run JVM, it can support Java applications without any hassle. Considering how popular Java is for web apps and desktop programs, it can be safely assumed that most devices are JVM integrated. Hence, they can run any Java program efficiently. Contrary to this, to run Python programs, you need a compiler to convert the Python code into the version that’s compatible with your operating system. However, when a Java code runs on JVM, it usually runs slower than Python codes.

When these features are compared, Python would be recommended by most programmers as the easier language of the two, ideal for rookies. However, Java holds a prominent place among programming languages and is widely used for developing Android apps and web apps. So, no matter which language you choose, you need to remember that programming is fundamentally about logic. It is about building your computational skills. The key is to be versatile. When you master one programming language and have the basic understanding of programming concepts, you can effortlessly switch to any other programming language.

All of these differences will help you in choosing a language to begin with. But, like we said earlier, at the end of the day, it’s all about logical reasoning and the ability to think on your toes. And we’re here exactly for that. Drop by at Coding Ninjas and set your first steps right. We help you develop the required knowledge to tackle any programming language.

PS: There are also early bird discounts! Come on in, quick!

5 essential tools for front-end web development:


If you just decided to continue reading what’s under this headline, then you must be having basic knowledge of HTML and CSS. If you don’t, though, don’t fret too much. Keep this tab open, and read our article on building your first HTML page. You’ll be good to go.

However, the world of front-end web development is extremely wide and goes beyond just notepad or a simple text editor. Let’s look at five essential tools that must be in your toolkit to help you better:

Sublime Text:

Sublime is a sophisticated, cross-platform text editor, found invaluable to its users. It provides quick navigation to files, instant jumps to symbols and allows moving around lines of text very quickly with only a few keystrokes. It eases writing the code by allowing multiple selections for manipulating the lines of text. Its ‘Split Editing’ feature edits multiple files side by side, saving time to its best. This editor offers power tools for code indentation and everything in Sublime Text is customizable with the help of simple JSON files. It is a project-specific editor which allows you to switch between projects instantly. With its numerous useful features and unmatched responsiveness, Sublime Text sets the bar for performance.


Bootstrap is a flexible, open source, HTML, CSS, and JavaScript framework for faster and easier web development. It offers ready-made blocks of code that are free to use and save a lot of time as there is no need of writing code from scratch. It follows Mobile First Approach and is used for creating responsive web design where the layout of the page is dynamically adjustable according to the specifications of the devices it is viewed on. It is highly customizable and provides cross-browser compatibility.


Sass (Syntactically Awesome Style Sheets) is a preprocessor scripting language used to write code which is compiled into Cascading Style Sheets, CSS. One should think of Sass as “CSS with superpowers” because of its various added advantages, one of them being the high degree of code reusability that it offers. Code reusability is performed via ‘sass variables’ and ‘mixins’. Mixins are used to group CSS descriptions and reuse them wherever required throughout the file. Sass breaks down the complex code into small code snippets, making the CSS even more modular and less complicated. It allows nesting in coding, making development a more pleasant experience.


React is the JavaScript library which is used in the development of the single-page applications. This toolkit follows the component-centric approach, i.e., it breaks apart the large complex user interface into small components which can be used for every web developer. We use React to describe the Web User Interfaces. We tell it what do we need in our User Interface, and it translates our declarative description into actual user interfaces in the browser. React uses Virtual Document Object Model (Virtual DOM). It gives a virtual representation of the updates if the entire page is rendered on each change, while changes are only rendered in the subcomponents that change. The motive of the React library is to provide speed, scalability, and simplicity to the web developers for better designing at the front-end.


Git is a version control system, or you can think of it as the software used by the web developers to keep track of all the activities involved in their project. As Git maintains a complete history of all the changes made in all the web files, you can go back and restore all the details of any version. If you’re continually making changes in your HTML, CSS or any other data, and you want to back up every version of every changed file in your project, Git is strongly recommended for you.  
Our specialized course on web-development takes you through the world of HTML, CSS, JavaScript, Ruby, and a lot more. Get yourself enrolled ASAP and build an awesome web-app for yourself!

Choosing Your Java IDE

IDE that is, Integrated Development Environment is an essential tool for every programmer using Java. IDEs are heavily feature-oriented and hence, make Java programming much more convenient and constructive. Although there are many IDEs that are used by programmers and coders across the world, the three most preferred IDEs for Java are Eclipse, NetBeans, and IntelliJ IDEA.

Choosing the right Java IDE depends on factors such as the nature of your project, your level of programming skills, and the process used by your development team. Whatever Java IDE you choose, it should allow you to freely edit, develop, debug, and test your systems, so that apart from a well-crafted code, you also have intelligent refactoring and code metrics.

So, let’s delve into the Java IDEs and know which serves what purpose!


Eclipse is a free open-source IDE that has long been one of the most popular IDE for writing in Java. Launched in 2001, Eclipse was a project of IBM developed to replace the Smalltalk-based IBM Visual Age family of IDEs. It is compatible with Windows, Oracle Solaris, Linux, and Mac OS X.

One of the most exceptional features of Eclipse is that it has a plugin design that allows it to be extended to other languages as well. These plugins support nearly hundred programming languages and over 200 application development frameworks. Another good thing about Eclipse IDE is that a project designed using this displays a model of its contents including the declaration of Java elements and the details about the type hierarchy along with references. The debug support feature of Eclipse runs both locally and remotely provided you use a JVM that supports remote debugging.  

Eclipse is primarily used for developing web, enterprise, desktop, and mobile applications.  


Initially launched as a commercial product in 1997, NetBeans IDE was bought by Sun Microsystems in 1999 and was released as an open-source IDE in 2000. The present version of NetBeans (8.1) is compatible with Linux, Windows, Mac OS X, and Solaris.

Although NetBeans has fewer plugins than Eclipse, Oracle still considers it as the official IDE for Java 8. It offers great support for Java 8 as well as for the conversion of older codes. The editor, code analyzer, and converter tools of NetBeans allow programmers to upgrade applications to be compatible with new Java 8 language constructs (example: lambdas, functional operations, and method references). The end-to-end development design of NetBeans provides a convenient environment for secure and easy coding, testing, debugging, compiling, profiling, analysis, and deployment.  

NetBeans’ language-aware tool detects errors in real-time while you are writing your code and provides you with useful documentation popups and smart code completion ideas. The Inspect & Transform tool of NetBeans allows programmers to inspect their codebase, while automatically fixing the errors in the code. Furthermore, NetBeans has a variety of refactoring tools using which you can analyze your code and restructure the code without breaking it.

IntelliJ IDEA

IntelliJ IDEA is the premium Java IDE that comes in two editions: free Community edition and the paid Ultimate edition. It was developed by JetBrains. While the Community edition is suited for JVM and Android development, the Ultimate version with additional features is designed to support web and enterprise development.

The Community version supports Java, Kotlin, Groovy, Scala, Maven, Gradle, SBT, SVN, Mercurial, and CVS. On the other hand, the Ultimate version supports Perforce, ClearCase, TFS, Git, SVN, Mercurial, CVS, JavaScript, and TypeScript. Some of the most helpful additional features of Ultimate edition are:

  • Spring MVC framework, Spring Integration, Spring Boot, and Spring Security.
  • Support frameworks like Node.js, Angular, and React.
  • Java EE support such as JSF, JAX-RS, JPA, CDI.

The most striking feature of IntelliJ is IDEA that is designed to provide an in-depth insight into your code with the help of developer ergonomics, built-in developer tools, and polyglot programming experience. IDEA offers “smart completion” of code by listing pop-ups of most relevant symbols best suited for your current code context.

Apart from these three IDE, there are also various lightweight IDEs available such as DrJava, BlueJ, JCreator, and Eclipse Che. Every IDE has its distinctive features, functions, and benefits. But, to fully utilize the features of any of these IDEs, you need to have a strong grip on the concepts of Java.

So, don’t wait any longer – hop on to Coding Ninjas where we cover the fundamentals of Java programming language in our online as well as offline courses. Oh, and if you’re confused as to which course to choose – online or offline, we recommend you read our article on the same.

Programming Languages That Will Rule The World In 2018


The ever-changing arena of software development has given rise to numerous advanced programming languages that are encouraging smart programming with minimal bugs. Ever since the invention of the binary, programming languages have continued to evolve at a rapid pace, so much so that now we even have software that can interact with us just like another human being (Siri, Alexa)!

Over time, newer and better programming languages take over outdated programming languages, transforming the way we feed instructions to computers. As of 2018, these are going to be the hottest programming languages in software tech.


Over the years, JavaScript has continued to hold one of the top positions in programming languages across the world. And it looks like it’s not going to fade away anytime soon. The surge in the number of mobile users and consequent rise in the demand for web apps has increased the need for JavaScript and other JS-based frameworks such as React, Angular 5, and VUE.

Today, JavaScript has found its applications almost everywhere in the software sector, from front-end development to web app development. And it is the secret behind some of the most well-designed pages on the web. In a survey conducted by StackOverflow, it was found that nearly 85% of developers use JavaScript.


2014 saw the release of Swift by Apple. When Apple realized that coding in Objective C is quite frustrating, they saw an opportunity to bring in a new, and better programming language into the scene.

The language specification of Swift is comprehensive with many new features. With Swift, one can create high-quality, seamless, and stable applications. Also, Apple strongly relies on Swift while designing OS X  and iOS apps and, given the simplicity of the language (easy to understand and work with), it can be safely concluded that Swift might just become one of the key programming languages in the upcoming 20 years.


Python is a high-level programming language – an amalgamation of the best features of C and C++. What makes Python so amazing is the auto memory management coupled with its function and object-oriented functionality. It is highly dynamic and readable.

Python is used in web development, in designing GUIs (Graphic User Interfaces) such as video games, and a host of applications (audio/video, console, administration, etc.). Most of you are familiar with Instagram, YouTube, and Reddit. Wonder how they’re so smooth and well-crafted? Well, it’s Python guys!


If you’re into functional programming, Scala is the perfect programming language for you! Loaded with some fantastic features such as flexibility, scalability, real-time processing powers, and object-oriented nature, Scala has emerged to become a popular choice among software developers.

Since Scala was designed to run on JVM, so anything you code with Scala can run anywhere that is Java friendly! It is most widely used to develop web apps, Ad hoc scripting in REPL, and analyze data with Spark, to name a few.


Being a free open-source statistical programming language, R is currently the most favorite programming language of statisticians and data miners. Using the power of statistics, R can reveal patterns even in large datasets. The most commendable trait of R has to be its ability to solve complex problems.

R is in high demand among data scientists since it comes equipped with the fundamental functions necessary for data analysis along with some of the most useful statistical algorithms that are the requisites of data-driven science.

So, which among these are you planning to take up? Don’t think too much, pick a language, visit Coding Ninjas, get yourself enrolled in one of our courses, and see yourself sail through!

Must know questions for the Android developer interview


In this ever-augmenting world of technology, the smartphones have become a primary entity for the people to survive. As you know, Android is the most feasible and commonly used operating system for mobiles, and the need, scope, and value of the Android Developers are only increasing in the market.

If you have an interview around the corner, we recommend you go through this list of 12 essential interview questions. Also, even if you don’t have an interview, it’s still recommended to go through them – a little revision never hurts!

  1. Describe the components of an Android Application Architecture.

Android Application Architecture has the following components:

Services: Services run in the background. For example, the facebook notifications, they continue to run, even if you switch the application.

Intent: It forms the interconnection between activities(actions performed on the screen) and the data passing mechanism by passing messages as per the request actions.

Resource Externalization: Externalization of resources is done for the ease to maintain, update and manage the resources.

Notification: It includes light, sound, icon, notification dialog box and toast.

Content Providers: It enables data sharing across different applications with the help of a uniform interface to access the data.

  1. What is do you mean by an APK format?

Android application package (APK) is the package file format used to install application software and middleware onto an Android operating system.

  1. What is an Android Manifest File?

Every Android application must possess an AndroidManifest.xml file in its root directory. This file presents essential information about your app to the Android system that it must have before it can run any of the app’s code.

  1. What are the languages used for Android Application Development?

The android application development is written in Java(Android SDK) and C/C++(Android NDK).

  1. What does ADT stand for?

ADT stands for Android Development Tool. It is used to develop and test the android applications.

  1. What does ANR stand for?

ANR is a dialog box that appears when an application is not responding. It stands for “application not responding”.

  1. What do you mean by ADB in Android?

Android Debug Bridge is a command line utility in Android SDK which lets the system communicate with a device. It can be used to control your device over USB from a computer, to copy files, install and uninstall apps, run shell commands, etc.

  1. What are the key components of the Android Architecture?
  • Libraries
  • Linux Kernel
  • Android Framework
  • Android applications
  1. What is an AdapterView in Android?

An AdapterView is a group of widgets in Android which includes the ListView, GridView, and Spinner. It also provides the layout of the underlying data for the view.

  1. What do you mean by a Container in Android?

The container is a description of the views which holds the dynamic content. It is used to hold objects,widgets,labels,fields,icons,buttons.etc.

  1. What are the notifications available in Android?
  • Toast Notification: It shows a pop-up message on the surface of the window.
  • Status Bar Notification: It shows the notification on the Status Bar.
  • Dialogue Notification: This type of notification is activity related.
  1. What are the tools available in an Android SDK? Describe them.
  • Android: This tool allows you to manage the projects, AVDs and the components installed in the SDK.
  • ddms: It is used to debug Android applications.
  • Emulator: It is used to test the applications without using any physical device.
  • Draw 9-Patch: It is used to create a NinePatch graphic with the help of a WYSIWYG editor.
  • mksdcard: It is used to create a disk image that you can use with the emulator.
  • Sqlite3: This tool lets you access the SQLite files that are created and used by the Android applications
  • Proguard: This tool is used to shrink, optimize, and obfuscate your code by removing the unused code.
  • Traceview: It provides a graphical viewer to view the application logs in your application.
  • Adb: Adb stands for Android Debug Bridge. It is a versatile command line tool that helps you communicate with a device.

These questions skim through the basics of android app development, and the answers to these questions are a must know for anyone aiming for an android developer role. If you had any problems understanding any of these questions/answers, we recommend you drop by at Coding Ninjas. We have specially curated courses on Android App Development that’ll help you sail through the Android world with ease. 

Things To Know Before Building Your First Android Application


With the advent of smartphones, the number of mobile users across the world has been rising exponentially over the years. As we continue to become increasingly dependent on mobile applications for fulfilling many of our needs, the world of mobile apps is also steadily expanding. As of 2015, the number of mobile users globally was 4.43 billion, and by 2019, this figure is expected to hit 5.07 billion. Today, there are almost 1.6 million Android apps in Google Play Store and nearly 1.5 million iOS apps in the Apple App Store.



Such increasing numbers of mobile users and applications show that it’s a booming opportunity for app developers now! However, if you think that having a great idea for an app is the only thing you need to launch your first Android app, you are mistaken. There are a few things you need to know before leaping into the world of Android applications.

Let us now look at the MOST important things you need to know before building your first Android app.

  1. Learning to Code

When you are keen to develop Android apps, you have to learn how to code. And to code, you need to have an in-depth knowledge of Java. It is a must. You have to start with the basics of app development and for this, you could either enroll yourself in online coding courses or browse through educational tutorials across YouTube, Google, and Bing. In case you want a more professional guidance to coding, try out the online coding courses by Coding Ninjas.

Another crucial thing you need to learn is XML. XML plays a big part in app design and development and learning it along with coding is a wise idea. And if you can, get your hands on this gem – Android Programming: The Big Nerd Ranch Guide.

  1. Get Familiar With IDE

IDE or Integrated Development Environment provides you with the user interface where you can enter your code. Unlike softwares that require you to write two separate codes (one for compilation and one for running), IDEs let you compile and run the code simultaneously. They also allow programmers to test apps in an emulation environment that helps highlight errors and issues in the coding syntax, it also isolates and fixes bugs through debugging. The most popular IDE choice for Android is Android Studio (powered by Google) and Eclipse. However, while Android Studio is exclusively designed for Android app development, Eclipse is a much more generalized IDE.

Some amazing features of Android Studio are:

  • Gradle Integration
  • Advanced Code Completion
  • Fantastic User Interface
  • System Stability
  • Drag and Drop tool

Apart from IDE, app developers can also opt for Android SDK (Software Development Kit) that comprises of debugger, emulator, documentation, libraries, sample code, and tutorials. These tools will help you work on the glitches of your app and improve it.

  1. Don’t Hesitate To Rely On Expert Help

Being a rookie, there will be times when you find yourself stuck on some problem or the other. There are many free online tools such as Stack Overflow, that’ll help you wiggle through such tricky situations in no time. And for everything else, there’s always Google!

  1. Do Your Homework – Market Research

In-Depth market research is essential when you are developing an Android app. Market analyzations can provide you with valuable insights about your potential competitors, your target audience, and the kind of app that is demanded by your target audience. Knowing these key information pieces will allow you to understand the pain points of the mobile demographic and develop your app in a way that it can resolve those pain points seamlessly, enhancing the overall customer service experience.  
At Coding Ninjas, we take care of everything you need to know before, during, and after building an android application. Our expert instructors combined with an unmatched curriculum is what you should be looking for, if android app development is on your cards. Drop by at Coding Ninjas and have a look at a vast catalogue of courses and pick the one you like best!