Essentials for every Web Developer

If you are someone who wants to advance in the tech industry, then you know that there are a number of avenues that you can take. The industry is always bringing in new advancements and if you want to secure a job in Google or Microsoft, you have to keep yourself active with the recent developments. Web development is a very lucrative aspect which is in motion in the tech industry. There can be several kinds of web developers, but we will be talking about front-end developers — the individuals who code websites using building blocks like CSS and HTML. Web developers are growing in number and are in high demand, and that’s the reason why you need to be especially skillful to get hired by a company. Here are some of the essentials necessary for learning web development:

1. HTML and CSS

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These are the first and MOST ESSENTIAL requirements if you are entering web learning. HTML or HyperText Markup Language is a markup language which is used to develop websites. However, while the foundation is built upon HTML, you need to look into the aspect of font, color and style of webpage. It’s here that the Cascading Style Sheets or CSS comes in to help your design a web page. Without the knowledge of CSS and HTML, web development is quite difficult.

2. JavaScript and JQuery

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With HTML and CSS, you handled the presentation of the page but how is the sheet going to work? Well, JavaScript is a programming language which helps you implement audio, video or games in your website and provides the tools to make the webpage ‘work’. JQuery is a collection of extensions and plugins which make it much easier for you to work with JavaScript and implement it on a webpage.

3. JavaScript and CSS Frameworks

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Even though we have mentioned both JavaScript and CSS, we have not mentioned JavaScript and CSS frameworks. Frameworks are JS and CSS files which have their work done and provide you with some boilerplate code so that you do not have to start from scratch. Of course, there are many choices and you need to choose the best according to the use case. For example, some frameworks are great for complex web pages and others can be great for simple but decorated webpages. You can even combine frameworks too — many use Bootstrap and pair it with JavaScript frameworks like AngularJS.

4. CSS Preprocessing

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There are times when CSS itself can be limiting — especially with regards to defining functions and variables. The problem multiplies if you are expanding. Hence, it is during these cases that this CSS preprocessors like Sass, LESS, or Stylus can be used. Here you can write code in the preprocessor’s language which the preprocessor can then convert into CSS-style code. It will make your job so much easier.

5. Version Control or Git

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After all the hard work of presentation through HTML and CSS and programming using JS, you don’t want to start from scratch if you make a mistake. But if you there is an accidental mistake, you have to tear the whole thing down and start again. Unless, you are using Version Control like Git. Version controls tracks all your changes and if you make a mistake, you can go back to a previous version and make the corrections. With Git, you can create a “repository” with a hosting tool and then clone the repository. You can push the changes to your master branch. Since you are human, you can make mistakes. With Git, you can solve your errors easily.

6. Responsive Design

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Nowadays, we are using several platforms to open the webpage — computers, mobiles and now Smart TVs are entering the market. Webpages are not shown in the same way in a mobile and a computer. The adjustments happen due to responsive design. Responsive design is intrinsic to CSS but you have to learn it to be a master of how it can be implemented properly. You can use media queries to which will block certain CSS properties if certain conditions are true. Like for example, setting a browser window screen size and adjusting colour along with that.

7. Testing and Debugging

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You cannot just launch a web page without testing it first. There might be a number of bugs presents and so, you have to enter the process of debugging. There are two ways of testing: Functional testing tests the functionality of the webpage while unit testing tests every code bit. For developing a web page, testing is mandatory but the good news is, you can use programs like Jasmine or Mocha to simplify the process.

8. Browser Developer Tools

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People will come to your website to interact with it and how your browser presents the website is very important. Browser Developer Tools are tools that are used to finetune your pages into the browser so that it has a seamless integration. Browser Developer Tools differ from browser to browser but mostly, they have a JavaScript console and an inspector working for this factor.

9. Building and Automation Tools and Web Performance

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Web Performance is the time it takes for your webpage to load. If your web page takes a lot of time to load, then chances are that the user will leave before interacting with your webpage and all your work will go to waste. You can use different ways to minimize the time taken to load webpages. By scaling images or by removing unnecessary complex coding in JavaScript and CSS, you can do the work easily. However, you can make the work easier by using programs like gulp and Grunt too.

10. Command Line

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With GUI becoming the trend, learning command-line skills seems unnecessary. But this skill can really bring a difference to your skillset by giving you extra polish. While GUI will show you everything you can work with on the surface, typing out a command line by opening the computer terminal will be liking finding hidden items by digging into the surface. Command lines are still important in this period and gaining mastery in this area will make your web page development activity worth it.

So, learn these essentials of web development and become a tech master with a massive skillset behind your belt. Best of luck.

5 essential tools to help your data visualization process

 

As a student, while reading for your exams, you may have been attracted to visual depictions of information. Flowcharts, graphs, pie charts, are still used for most statistics to give an overview of all the compendium of other boring data. Plus, in the age of the internet, infographics are getting viral like hotcakes. Data visualization refers to this representation of the information through diagrams or pictures. Well, now that we have the definition set aside, how can you make effective data visualization? Of course, you would need some available tools that will help you to design them. A designer cannot work without their tools after all. Here are some of the tools that you will help you with your data visualization process:

  1. Datavisual

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Imagine how difficult it would be to repeatedly format a design when you can just use a pre-set format. Datavisual, which was once private, became public and made the life of designers easier. Format your charts easily and coordinate large amounts of charts without facing any cluttering anxiety.

2. Tableau

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Referred as one of the masters in Data Visualisation, Tableau is simple to use and can create interactive visualizations. One of the best things about Tableau is that you can use it for Big Data operations too which includes machine learning and artificial intelligence. On top of that, it is integrated with a number of database solutions like Amazon, SAP, Teradata, and AWS.

3. FusionCharts

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This is a popular visualisation package which uses JavaScript charging. By creating over 90 different types of charts and giving you the edge to integrate over different platforms, FusionCharts rightfully earns its fame among designers. Plus, you don’t always have to build a visualisation chart from scratch. If you want, you can just choose from the live example templates and use your own data sources, where necessary.

4. Microsoft Power BI

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Microsoft Power BI is one of the most efficient data visualisation packages present in the market. Plus, with the Microsoft tag, it can be safely said to be one of the most trusted too. It has two versions: Power BI Mobile and Power BI Desktop. It comes with a lot of custom visualisations as well as helps you create visualisations using many natural languages. Also, you have Cortana as your personal assistant. Microsoft Power BI is quite flexible too and connects large data sources like Excel, Oracle, Azure, Zendesk, etc. Plus, you get to integrate with web services easily as well.

5. Plotly

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If you are eager to bring a bit of sophistication in your visualisations, then Plotly is the way for you to go. The reason for this is its integration with languages like Matlab, Python and R. It comes with a user-friendly interface and bases itself in the open-source d3.js visualisation library, especially for JavaScript.

So, engage your visualisation senses with these tools and start making sophisticated visual representations for your data. Present your project with a difference.

Oh, and talking about projects — you should check out our Data Science course. Designed to lift you up from ground zero, our course comprises of all the essential modules, including Data Visualization. We’ll also help you develop a project along the way!

The basics of Neural Networks: simplified!

Maybe from the time of its inception as a calculating machine which could also do a bit more — computers have made conspiracy theorists believe that it can replicate the human brain. With modern advancements, computers are becoming more and more complex almost like the human brain. The Turing Test is something every AI enthusiast tries to tackle — that is — trying to make computers exhibit intelligent traits that make it indistinguishable from human beings. But what’s the main difference between computer and the brain?

Like the brain nerves, computers also have a lot of transistors (which can seem like artificial neurons) connected to each other which receive and distribute information. Both can store data and reuse them in a certain way. But that’s where the similarities end. Computers are fed the information (meaningless for them) that they require previously and they arrange the information in a way that they were programmed to do. However, brains acquire information meaningful to them and can arrange them in many unusual, unknown ways, thereby ‘creating’ something. That’s the beauty of the human brain — they go through a slow process of learning how to use information and develop something new out of it.

However, neural networks are bringing a slight difference in the traditional pre-defined input-output scheme of computers.

Neural networks try to simulate the workings of the brain cells so as to recognize patterns, learn from it and thereafter, develop decisions based on them. Yet it is not as complex as the brain — it is made out of the same algebraic equations and mathematical variables that are put in the computer. The information remains meaningless to the computers, but for the people working on them — it means ‘progress’.

How is the Neural Network Connected?

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In a Neural Network, millions of transistors or artificial neurons are arranged in units and they are placed in layers as a series. Each of them are well-connected. Some of them are called input units. These units try to acquire information from outside and then use it to recognize patterns and different information from the outside world. Then, the information is sent to the output units. In between the two, there are hidden units with which the input and output are connected and these are the ‘artificial brain’. Each of the hidden units and each of the output units is fully-connected with each other and these connections are represented by a number called weight. The weight can be positive, exciting another unit, or negative suppressing another unit. This way, it reacts like the synapses of the brain.

Learning Things

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One of the main requirements of neural networks is that it has to learn things. It is done through a process called feedforward network. When it is being trained or learning and then, after the training, operating normally, the input units take in the information, which is passed on to the hidden units, which in turn is passed to the output units. Every unit does not fire all together. Each input is received and then, it is multiplied along the weight of its connection that it is travelling along and when the sum is more than the threshold amount, it is triggered and sent forward. The feedback loop is important. Learning in Neural networks is through a process called backpropagation. Here, the output produced is compared with the output it is meant to produce. Using the difference, the weights are modified and the difference is reduced, until the actual as well as the intended output becomes the same. It is similar to how our brains react to feedback. As a bowler, if we throw a ball which moves slightly to the left of the wicket, in the next ball, we modify the pace in a way that it will swing to the right. Feedback loop and errors are the way in which both humans and computers learn.

Practical Example

However, computers deal with binary numbers and so, they will only have 0s and 1s as answers — that is, Yes and No. So, let’s say the difference between table and chair: if you input 25 different kinds of chairs, then the input have to interpret the item by posing different Yes/No questions to it. Does it have a back support? Can some sit on it for a long time? Does it have upholstery? Does it have a top? These questions may even help it understand that a sofa is also a chair — as it belongs to the same category, and that it is not a table.

Neural Networks — Uses

Neural Networks are being used in several places. Firstly, since it’s based on patterns and numbers, it can be used for autopiloting planes and for industrial manufacture where the right amount of formulaic ingredients will produce a product with predefined consistency in terms of colour, shape and weight. For checking the patterns of ‘credit or debit cards’,Neural Networks can be used. But the neural network technology is making its move in many areas. Voice recognition apps use neural networks to differentiate between email and spam. Even translation programs use neural networks to translate sentences, with Google using Neural Machine Translation from 2016 to convert entire sentences and facing 55% reduction of errors.

If reading the above spiked your interest towards technologies, coding and such, we recommend you drop us a visit at CodingNinjas, where we’ve got you covered!

5 reasons why you should start coding early

In the digital world, coding has become almost a mandatory skill for everyone. But the term coding makes you a bit afraid, doesn’t it? At first, it might sound like strange numbers and characters typed on the screen. Then, there is the maths. Everything combined makes it appear like the devil.

But that’s just a myth. Coding can be very easy to learn and it becomes even easier if you start early and learn it from a young age. It’s one of the #skillforlife that will serve you forever. Here are some of the reasons to start learning code early.

1. A New Language

In India, most of us speak at least two languages. And if you think back, you might recall speaking and learning these languages from nursery. Why is that? It’s simple — language opens up new channels in our brains, and slowly builds up new patterns. Have you ever wondered how easily you can shift between your mother tongue and another language (say English) without faltering (Mini-tidbit: It’s called code-switching). Programming language, as the name suggests, IS a language. There are special characters like 0s and 1s and like every language, it has rules and directions too. So, open up the ‘coding language’ channels in your brain and start communicating with your computer in a special language.

2. Becoming Creative

If you thought that only artists and writers are creative, then you haven’t explored the world of coding yet. Creativity means the act of creation — the process of developing something. Coders are developing apps and your favourite video games, they are learning ways to prevent a mistake and they are always making updates to improve your experience on apps. Aren’t all of these a way of creativity? Coding is always involved in creating something new!

3. Problem solvers

When you come across coding, you will make mistakes. There will be obstacles. But coding teaches you the great #skillforlife of finding a way out. There will always be some problem in your life. Problem-Free life is boring. Rather the best thing to have a life where you have the skills to tackle every problem thrown at you. That’s what coding teaches — turning failures into success — making lemonade out of the lemons life throws at you.

4. Easy Maths

Many teachers may have told you Maths is not as difficult as it seems. But that’s not how it looks ever. Well, the reason is Maths deals with abstract concepts and these are something the children fail to visualise. Coding gives you the ability to visualise abstract concepts and make maths more creative and fun. No more wrong answers, no more boring Math problems which make no sense.

5. Finally, An Overall Academic Growth

Well, after all the different advantages, coding will help you in your overall academic growth. With your problem-solving skills and creativity, now you can come up with new solutions to your problems. Definitely, a #skillforlife but also useful for academics. Then, there is a boost in mathematics. Another hidden thing that coding teaches us is to structure and organise our thought processes. Discipline your mind and nothing that you study can get away from it. Academic excellence is within your grasp.

On top of everything else, coding is intrinsic to one of the most lucrative fields out there — the STEM field. So, why not start early and make the most out of it? After all, it’s a #skillforlife that will help you out forever.

5 tech-giants hiring coders – watch out!

Selecting the right company that will appreciate your coding skills is something of a headache. Plus, there are so many coders out there and according to some, the industry is saturated. What are you going to do? First, remember, that nothing can get saturated. If you are the best at what you do, you will always have a place in the job market. And secondly, prepare for the top tech giants who are looking to hire more people in the near future. Here are some of them:

Google

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Well, one of the internet kings is always looking for top talent and India is a place they love to search for it. As Google holds Android and Android is always going through some kind of updates, Google loves to hire Android developers. Along with your general English skills, Google will test out your Python, C++, C, .Net, HTML, Networking skills, etc., drawing up the best skill set out of you.

Facebook

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Yes, the genius social networking site that is taking the world by storm — Facebook is going to hire a few people this 2019. With Facebook making more advancements with People, and AI bringing in its People-recognizing skills, the top skills that Facebook requires are Pattern Recognition, Data Structures, and R. Plus, they are prioritizing on Privacy everyday, so keep your security skills up and running.

Amazon

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The world of Amazon continues to grow worldwide. People are slowly moving away from traditional marketing to online markets. And you can also say Amazon is an e-commerce King. But Amazon does not only satisfy its customers, it satisfies its employees too. It recently increased the minimum wage of all employees to $15 per hour and they are planning on more expansion too. Brush up your AWS and Solution Architecture to get a secured spot in this wonderful company.

Apple

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The premium brand is always looking for some kind of innovation in their iPads, Macs, iPhones and other appliances. No wonder that they are focusing on Machine Learning and Python. Glance through your Matlab to ace their interviews. Apple is planning to create about 20000 new jobs and are also wants to breach the Indian Market. Keep your shirts tucked in for the interviews.

Oracle

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Though one of its top locations is in San Francisco, Oracle has most of its employees outside San Francisco. They even have a niche towards India and the developers that they find here. Of course, they have their own Oracle Cloud as one of their top skills but along with that, you need to be well-versed with Python and NetSuite to make a place here.

So, find your place in the right company and give value to your coding skills. Remember, coding is a talent — you need to learn to use it well. And you need to go to the right place which appreciates and help you to grow that talent. And if you’re looking for mentors for this journey of yours, we invite you to Coding Ninjas, where we offer courses on multiple domains — each of which is likely to interest the giants mentioned in the list above!

Major programming trends to watch out for in 2019

There are always some kinds of changes happening in the world of programming language. Either a new language is introduced or a new language gains a lot of prominence and beats over the dominant one. There is always a push and pull — a power struggle. Eventually, this struggle defines the trend of the year. This time around, the trend will change from 2018. These are some of the programming trends that might conquer 2019:

1. Python

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Python has been among the top 5 programming languages for quite some time now. But now, the interest for Artificial Intelligence is on the rise and this, naturally translates to the increase in the demand for Python. Since, Python is quite the power multi-purpose language and quite easy to use, it is not a surprise that it is making its mark in the programming field. With Python libraries being available in machine language and statistics, it is turning out to be quite an attractive language, even better than R. Python is being used to make games, businesses, websites, etc. It might be ruling the programming market in 2019.

2. Typescript Will Become One of the Top 10 Languages

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Typescript has become the third fastest growing language in the programming field. It is a strongly-typed version used in JavaScript and it has been designed for operability and security. Since it is strongly typed, you do not have to waste time and effort to define the different types of variables since they are already determined and inputted in the type interface. You can even code using TypeScript and then convert the code to JavaScript. No wonder it’s becoming popular.

3. ‘Go’ is going to make programming easier

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Go is the 5th fastest growing language. It was introduced by Google and while syntactically, it is similar to C, overall, Go is much easier to write and read. It is also strongly typed, like the TypeScript and it can be used in back-end and front-end applications. Go code can also be transcoded into JavaScript. On top of that, Google is trying to transition their products to Go, making it much more popular too!

4. Kotlin For Android Apps

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Kotlin has been a language popular among Android app developers. It is like Java and has interoperability with Java, it removes the null-point errors that Java is notorious for. Fast and error-free programming make Kotlin a favorite of many, and since, it’s popularity continues to rise, we might see it becoming more flexible — switching between functional to object-oriented and then, to different other platforms.

5. R

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R is earning some much-deserved praise being the only language used for data analysis. It was developed by statisticians and scientists, and hence, it already has a niche market among data analysts, who prefer R over Python, especially for enhancing machine learning capabilities.

6. Java 8

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Java had held a dominant market in the programming universe. However, unlike the previous which had a common link, including the use of JavaScript, Java 8 is different. Java 8 comes with some unique attributes — it uses parallel coding for your apps and will allow you to take the functional approach while creating an app. The result — least buggy coding. So, the two things that make Java 8 so praiseworthy are scope of writing concurrent code and Lambda expressions.

7. Full-Stack Programmers Will Get A Huge Popularity

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Building applications are cost-consuming, and so companies are looking for experts with both back-end and front-end technologies.They are called Full-Stack Programmers and they will have immense popularity in 2019 and beyond. They have expertise with Angular, Python, CSS, JavaScript, etc and can deal with anything thrown at them. Plus, they have experience over multiple platforms and are therefore, the full package.

Keep yourself informed and start planning about the future based on these trends. Remember, the future is always changing. You have to change your plans with it. And with that in mind, let’s tell you that Coding Ninjas offers courses on everything you’ve wanted to learn — be it coding, web development, or machine learning. Drop by at codingininjas.in and explore the wide array of courses, and don’t forget to reach out to us in case of any confusion!

5 books to help you brush up your coding before an interview!

So, it’s time for the interviews to happen. How are you going to prepare for it? You are probably scratching your head and trying to understand the best way to go about it. Think it through. There are so many algorithms, data structures, basic programs, terminologies, practice papers to go through — it’s insane. How can a single person be able to do all these things? You are after all, just a human being.

Well, we have got your back. Instead of going back to class 9 books and trudging through everything you have done till date, you should be better off by narrowing down the search to a couple of amazing books — 5, to be exact. They will brush up your basics, make your problem solving skills more efficient and develop a confidence that will help you ace any interview. All you have to do is read them up with a strategy — an independent plan. Here are five books that you can go through before your interviews:

1. Programming Pearls

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This book focuses on correctness, algorithms, performance and problem-solving skills. THe Programming Pearls book by Jon Bentley may be old, but as they say, old is gold. It will brush up your basics, and it has some great resources meant to get your programming knowledge a much-needed boost. Get that boost and you will get an extra edge in your interviews.

2. Elements of Programming Interviews

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This book is meant for more advanced levels of programming. Written by Tsung-Hsien Lee, Adnan Aziz and Amit Prakash, this book is gold for more people preparing for face-to-face interviews. Specially designed for people going for interviews, Elements of Programming Interviews prepares programmers for top companies like Amazon and Google. You can even use it with Cracking the Coding interview book meant for telephonic interviews.

3. The Algorithm Design Manual

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Algorithm Design can be an important part of your interview and if you are looking for one of THE Best books on it, you have to go for The Algorithm Design Manual by Steven S. Skiena. It explains the algorithm design beautifully and in a technical manner, one of the reasons why it is difficult. But then, you would require a companion book which you can use with other books like Elements of Programming Interviews. This is your goldmine.

4. Cracking the Coding Interview

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Completely designed for interviews, Cracking the Coding Interview by Gayle Laakmann McDowell provides different interview insights based on companies like Amazon, Apple, Microsoft, Google, etc. It also talks about the skills that these companies look for in an employee. As for the remaining knowledge, like Java, SQL, Database, and OS, the book also provides small insights into them, making this quite a compact book with all kinds of information loaded in it.

5. Programming Interviews Exposed

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This book is one of the best books to summarize all the basics and important bits in programming. It is not as complex and might seem too simplistic for advanced programmers, but the format of this book and the way it covers the essentials like array, conding, binary strings and trees, are phenomenal. It is the kind of book that you will be reading while you are travelling for the interview and making those last minute touches.

So, just go through these books, browse the internet and make sure you are fully pumped before the interview. And if you feel you’re stuck somewhere, don’t hesitate in reaching out to us at CodingNinjas — we’ve got your back!

5 on-going trends in the field of Deep Learning

Deep learning has been popular for quite some time now. It has brought several benefits to many businesses since deep learning has boosted effectiveness of pattern recognition, fraud detection and in many other fields. However, it has not been very well injected in many modern organisations. There are justifiable reasons for it. Deep learning is difficult to integrate and plus, it requires a complete makeover of the technology of the organisation.

But deep learning trends continue to rise and trudge into the world of business. Some of the trends that might rule 2019 are:

  1. Transfer learning

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Transfer learning is an immensely popular technique where a model which has been designed to do one task can be modified to perform another similar task. For example, imagine that you have an object classifier which can only detect objects like trucks. Now, you can modify it to detect cars. The method combines the quick learning approach with deep learning. And since you use pre-trained the models from different open source networks, it does not require you to start from scratch.

2. VUI

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VUI (Voice User Interface or Vocal User Interface) is the interface that is used to enable a conversation to be set up between machines and humans. Can you think of any such interface? Ask Alexa. Yep, it may have started with cell phones, but now it has moved into our home automation systems. Deep learning algorithms like language modelling, speech recognition and translation keeps running in the background. These voice assistants are always getting modified by adding something called ‘skills’. Everything is a skill, including changing the date each day. In recent times, with the inclusion of smart lights and speakers, the VUI seems to boom in 2019 and beyond.

3. ONNX architecture

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A programmer’s dream — the ONNX or Open Neural Network Exchange is a kind of open format that could be used to represent several deep learning models. It would be possible for AI developers to move from one model to another using ONNX. Imagine you use TensorFlow library for developing a deep learning model and now, it can only run in TensorFlow library. With ONNX, you can now have interoperability between different models and use it in a different model base too. Now, most libraries use ONNX model — a true game changer for 2019 and beyond.

4. Machine comprehension

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This is what you might have thought AI domination, as in the sci-fi movies, meant. In Machine comprehension, AI models are used which provide the computer with the ability to read documents and answer questions in it. Basic task for humans, monumental for AI. Stanford Question Answering Dataset is the dataset that is being used. This is a popular field as almost all major players, from Microsoft, Google and Facebook are working on it.

5. Edge Intelligence

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We already know about cloud computing and IoT. It has revolutionised the world of technology but how storage and extraction work. But so many connections are just messing things up. With Edge, data is no longer stored in the cloud but close to the data source. The result: there will be much less delay in the communication process and so, you have improved results coming in real time. Since IoT is bound to increase in the future, Edge Intelligence doesn’t seem far away.

Deep learning is ever expanding. Tap into any one of these areas and you will see how you flourish with it. Deep Learning is destined to change the shape of technology within the next decade! And if you’d need help uncovering the layers that are present in Deep Learning, don’t forget to visit us at Coding Ninjas, and check out the course on Machine Learning we offer!

7 things to keep in mind before a competitive programming battle

The adrenaline is rising. Your hands are sweating at the moment. You are in a competition — time is of the essence and you will be judged on it. Several programs will be thrown at you — you need to work through them — correctly and FAST. All that you have in your arsenal is your programming knowledge, active brain work, and of course, speed. But combining the three does not always work in your favour. Competitive programming battles can be scary — it’s stressful. But like all competitions and ‘exams’ — if you are confident, you can have the world in your palms.

Here are some of the things to keep in your mind before going for a competitive battle:

1. Choose Your Language

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Which language are you most comfortable in? When you are entering a Competitive programming battle, you have to select the proper language which will be accepted. For example, C++ will be accepted by most competitions and is one of the fastest languages out there. In today’s world most of the languages are equal but C++, Java and Python are most popular.

2. Find Your Style

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You may have a specific coding style. You might add more spaces, or you might add braces in the if statement. Your unique coding style defines your coding. Do not deviate from your coding style unless it’s absolutely necessary. Master your style. While developing your coding style remember to keep it — 1) Easy and fast to implement. 2) Easy to Read, which naturally means it would be easy to debug too.

3. Get the basics right

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The basics are the foundation of your work. So, even if you are a seasoned programmer, just brush over the basics again. This will strengthen your work and make your coding style more capable. It will also help you fall back on something if there is any problem during the programming session. So, never ever underestimate the basics.

4. Master Data Structures and Algorithms

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This is the hard part. You have to go through complex data structures and algorithms and they are so many. How will you start off? The best thing to do here is to follow a hierarchical system. Start with the fundamental algorithms and then, start going deeper. However, don’t go through algorithms just a day before the exam. Let you mind rest.

5. Practice Makes Perfect

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Practising is important. Start to work hard, give in all your efforts for the competition. Don’t overwork the previous day but work hard enough in the days before. Give your best in developing your programming voice. You can use Sphere Online Judge (SPOJ) to practice. Boost your implementation skills.

6. Splitting Up The Problem

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Generally, when you are in a competition, you will be given problems with huge descriptions. Start by splitting them up. Keep your pen and paper in hand and remove any kind of digression present so that you get a compact ‘necessary’ descriptions which you can use. It will save time and make you more efficient.

7. Finally, Don’t Take The Fun Out of It

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Competitive battles are fun too — you are testing your limits. Don’t overstress and take out the fun from it. Programming is creative and fun too. Try to look at it in a positive light. Be confident, have the aim to socialize with other competitors and learn more about their skills. Take the entire competition on a light note. It will help you with your nerves.

Some Don’ts:

  • Don’t use Ideone.com as it makes your code public and it will fall under plagiarism.
  • Don’t discuss the problem when the competition is running online or offline. Don’t ask about the problem from Quora or Stack Overflow during the competition as it will be considered cheating.

Best of luck with your competition. Remember, winning is not everything. Sometimes, you just have to learn things again. Make the competitive battle a learning one.

Always keep in mind that:

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With all said and done, you can, at any time, visit us at Coding Ninjas and get your doubts clarified. Our expert teachers have mastered the art of competitive programming, and can help you with the same!

YouTube as a companion to learning the essentials of Coding!

You know it for its cat videos and meme videos. Maybe the battle between T-Series and Pewdiepie has kept you hooked to it. Yes, we are talking about the famous YouTube. YouTube is the face of content creation and education videos right now. So, if you are looking to get your coding skills a boost, why don’t you try out YouTube? Coding ninja hosts a lot of educators and programmers to help you out with coding. Let’s find out more about this famous YouTube channel that is going to make your coding easy peasy:

Coding Ninjas

If you really want to get the best coding mind, you need an environment which promotes both education and interaction. Coding Ninjas is the ultimate channel which mixes the two. With programmers turned educators and educators turned programmers, this channel will give you an in-depth knowledge of Python, C++ and advanced machine learning. Plus, to inspire you further, you get success stories of people working with Microsoft and Google. Get a personal in-depth learning experience with Coding Ninjas YouTube Channel.

The Coding Ninja Sections That Will Interest You

Education

By setting an educative environment, Coding Ninjas makes sure that despite being in front of a a computer screen, you can have an immersive education session. From interactive dialogue to webinars and foundation courses, Coding Ninjas gives you the guidance to learn the difficult concepts of programming just on your mobile phone. Just keep your copies ready and start coding.

Tech Tales

A small brief on certain interesting concepts of technology — tech tales discusses about different new and complicated process behind programming. Unlike the educative sessions, this is more personal — after all, not everyone likes to stay in that authoritative classroom. Get on a one-to-one feel with your teacher as they discuss new concepts and get subtle tips for your next programming journey.

Success Stories

Are you feeling a little demotivated with all the complicated programming you have to go through? Keep your chin up — look at the success that so many students just like you had got. Hear from them personally how they studied and how they excelled. Remember, it’s not always about working hard but working smart that matters. Let them guide you and one day, you will have your success story here too!

Interview Experience

Selected for a top company? Worried about how the interview process will take place? Just watch the interview experience of some of the star students who cracked the interview and have been selected among thousands for a job position. Find out their strengths — the difficulty of the interviews and how their own projects. Develop your mindset and go out there — your job position is waiting for YOU to fill it up.

Coding Ninjas have set everything for an all-round learning experience for you. So, what are you waiting for? Get your headphones out, set your copies in front and start learning to code like a master!