C++ as your primary programming language: a yes or a no?

C++ is an extension of C language developed by Bjarne Stroustrup as a general-purpose programming language. The motivation to build C++ was to create something suitable for large software applications. Professor Stroustrup chose C because of its features like general-purpose, speed, portability and the high usage of the language back then. Now that there are thousands of languages and frameworks are introduced, programmers find it complicated to engage with C++.

It is considered to be the hardest language to master. We are not stating that languages like Java, Python, C# are easy. But if we have to compare them, then C++ is somewhat difficult to understand than the others.

Scroll down to see some interesting points regarding the choice if you should learn C++ as your primary programming language or not:

1. Learn other programming languages faster:

Remembering the syntax of the programming languages or knowing the libraries well might not land you the badge of being a programmer. You have to understand the theory behind the language which will help you develop other applications even more efficiently. Only then you can call yourself a programmer. Learning C++ at the beginning can help your career take off to a much higher level as it will be easier for you to understand the other advanced languages.

2. Bring performances:

We generally focus on the best practices to avoid silly mistakes. But what we fail to notice is the fact that to gain better performance we have to have a solid eye and proper analysis of the code. Knowing the point where we can effectively rewrite the code can only boost our performance.

Having enough knowledge of C++ lets us know the weakest point of the language which helps us point out the exact problem, and we can fix it faster than before.

3. C/C++ powers the world:

The latest languages might overshadow the fact that C/C++ is the core of almost every technology we use in our everyday lives-

a. Hard to believe but most of the operating systems we use in our day to day operations including Windows, Linux, Mac, IOS, Android are written in C. Blimey! Yes, it is.

b. Modern browsers such as Chrome, Firefox are also written using the language C.

c. C++ is used to develop games like 4A Engine, Adventure Game Studio, Anvil and so on.

4. Steep learning curve:

People might start their programming journey by learning C or C++ but, it gets challenging for them to continue. And that’s because of obvious reasons:

a. You might get frustrated with low-level handling programming such as pointers, template expansions, etc.

b. The absence of the feature of automatic memory saving might be a total turn-off.

c. C++ is not at all a forgiving language which means a small mistake can crash your whole application.

Developers tend to choose other trending languages as they come along with cool features like memory management. It means you don’t have to worry about memory at all. Besides, languages like Javascript, Python or Java are pretty forgiving. This allows programmers to solve the problems faster and in an efficient manner.

5. Rarely used in modern application development:

Now that so many advanced programming languages out there such as Javascript, Python, Ruby, etc., it sounds highly unlikely for a giant tech company to use C++ as one of their primary languages.

For instance,

a. Javascript is completely ruling the front end development with three dominant frameworks, Angular, React and Vue.

b. Frameworks like Node.js, Flask, Django and PHP and Java are handling the back end development.

c. IOS has recently introduced Swift as their new language to work with mobile applications, and Java is already there for Android.

d. For desktop application development, classes like PyQT and C++ and WPF(C#) are used.

Features like this may put you in a questionable situation of whether to go with another language or stick to C++. Well the cons of C++ may give you chills but, we are here to help you make an unbiased decision.

In conclusion, choosing C++ as your primary languages is a good option for you to start your journey in programming. C++ is a compelling language which allows you to have control over a lot of sources in your computer. So, if you’re just a novice in this enterprise, C/C++ can help you notice all the minute detailing and help you with object-oriented programming. Come straight to codingninjas.com where we can ensure you that gripping C++ will not be a big deal with the courses offered on the website.

Machine learning for beginners: A primer

The world is full of data – images, documents, music, video content etcetera. And it doesn’t look like as if it’s going to slow down anytime soon. Machine learning helps us acquire meaning from the data. The tools and the algorithms we use to get answers to tricky questions achieved with the help of machine learning. As we all are aware of the fact that humans learn from their past experiences and machines work with the instruction given by humans. Now, what if we can train our computers to consider their experience (previous data) and work accordingly, just like humans. Well, that’s pretty much it, what we call machine le

Let’s try to understand machine learning in a more straightforward manner.

For instance, while preparing for school examinations, you put in all the necessary information into your head, and you try to learn the subject with complete understanding. Each time you evaluate your performance, the results keep on getting better, and your confidence continues shifting to a higher level. That’s how we can build models to train the machine to use their previous experience and perform a specific task.

The first step of the process is to develop tools and models for machine learning with the use of data structures and different algorithms. Then feed the machine with good quality data.

How Machine learning works in reality

Since 2005, Youtube has been trending more than any other application we use within our daily lives. This might set the perfect example of how machine learning works in reality. If you frequently watch videos of a particular genre, the more your feed will fill with the same type of videos. Through machine learning, the software is trying to predict the preferences of the user, and with the help of statistical analysis, it manages to fill your feed with the same.

While we spin the factor about people juggling with different choices online as there are a million of them who regularly have a lot in their search option, searching a product frequently can make the buyer’s web pages, Facebook, Instagram, all advertising for the same product. There is no one sitting behind and performing this task. ML here is performing its job with the previous data recorded and is also improving with time and experience. Data scientists and researchers build models for machines and put an enormous amount and good quality data into them.

Earlier, the advertisement was only dependent on magazines and newspapers, but as time has evolved, technology has become more efficient in reaching its targeted customers.

Healthcare has improved as well due to improved technology. A machine can even detect cancer at a very early stage by just looking at the cell. Performing a similar task physically would take a lot of time. Thanks to machine learning, scientists have been building models with the help of high-quality image data and proper computation to detect if someone has a tumor or not. ML developed with functional data structures, and accurate algorithms can even diagnose patients based on different parameters under consideration.

Evolution of machine learning

Machine learning has been in existence or a considerable period.

But the growth has been radical in the past few years. Earlier the tools used for machine learning were very pretty much straight forward than the current ones. There was a set of machine learning tools for the computer system built on the base of the human brain and nervous system which is becoming popular now. Machine learning is one of those few technologies which will become one of the most trending technologies in the coming 3-5 years, and a significant amount of crowd will lean towards it. Capabilities like the infrastructure and technical improvements might also help machine learning to become one of the mainstream fields shortly.

Future of machine learning

The reason why we think that machine learning will take over almost all the jobs in the near future is because of the advancements in technologies.

We have indulged into deep learning for quite a long time now, but what we were missing out on was the power to run algorithms. In the past few years, power has dramatically evolved. For example, if now we run our algorithms with the advancement in infrastructure and with the access to better and developed data, we get tremendous results. All we can say is from here it’ll only get better. In the foreseeable future, we are expecting our machine to recognize emotions as well which will be a massive shift from what it is right now. Machine learning is supposed to be solving problems in lots of areas single-handedly in the foreseeable future.

Now that you are aware of how machine learning works, you should also be conscious of the fact that it is one of the fastest growing jobs right now. Visit Coding Ninjas to ensure you are well prepared to make a solid career in machine learning.

Placement talk with Anubhav Malik!

A place that gave me the right direction in my career!

 Anubhav Malik

His amazing experience and what he loved!

My experience with Coding Ninjas has been life-changing. I got the direction I needed from Coding Ninjas, and it has helped me come across a long way since my course ended. Learning from very experienced faculty is one thing, but even the TA support is fantastic.
The best part is if you join Coding Ninjas you just don’t stay a part of the learning process during the course but even after the course has ended the faculty is still willing to help you.

Interview experience

It consisted of 2 rounds where they asked about algorithms and Data Structures.

Advice to Current Students!

Don’t jump onto other technologies until you completely understand the one you started with. Hard work and consistency will help you go a long way.

How will you introduce Coding Ninjas to your friends?

Single decision to join Coding Ninjas and the ability to work has changed my life, it can change yours too.

Thank you for your constant support and guidance!

Crucial web designing practices to follow

Did you know that 94% of your all visitors of the website decide in the first 3 seconds if you’re a trustworthy, reliable and professional based on the design alone? That’s right, making a positive impression on the first time is very important. Your website is your virtual store-front. We would want customers to come back and enjoy their experience while using our website. Without a professional design that has been optimized for success in the global market, your marketing strategy will sink even before you get started.

We have listed a few important points below to help you get through the vital principles of web design:

Visual Hierarchy

Visual hierarchy is one of the most crucial elements through which even an amateur can create a tremendous and somewhat professional design. It is a method of organizing components according to their importance. Certain parts of your website are mattering than the others, and even if all the items on your menu are equally important, you know where you want the user to click first.

You can always start by setting an objective for your website. Rank elements according to your business objective and you’re halfway there.

Hick’s Law

Hick’s law mentioned that the time it takes for a person to make a decision increases every time you offer an additional option. This can happen in your daily life as well. Every time you visit a shopping store, the time you spend there increases if the store is offering you a lot of options. Similarly, if the visitor sees a lot of choice on your website, it will be easier for him to choose nothing.

To make their experience enjoyable, you have to eliminate choices. And if there is a massive amount of products list that you sell, then provide the visitors with good filter options. It will undoubtedly make them revisit your site and who knows, maybe you can earn a permanent customer too.

Responsive Design

With the evolution of the different screen sizes in the industry including mobiles, tablets, and laptops, it has become a really big issue for the designers to create a responsive web design. The experience of the visitor hugely depends on the device he is using to visit your website. And god forbid if the site is not displayed well to the customer, the majority of them will stop interacting with the website.

It might not come as a big deal to make the web design responsive for the designers, but for the customers, seamless experience is pretty much everything so omitting the particular can cause a considerable loss for the company growth.

High-Quality User Experience

User experience is something, that if it is done right, visitors will stay longer on your website and even revisit it later. It can be possible if you optimize options like fast-load options, eye-pleasing element, correct navigations, and mobile responsiveness.

The few aspects on which you should inevitably focus on to give your customers a seamless experience are:

  • User-focused design research can help you a lot to make the experience of your customers perfect.
  • Content that is relevant and valuable to the target customers can provide your website with substance and can be a significant component of high-quality UX.
  • Consistent communication can also play a huge role in bringing back more visitors. Making the user comfortable and providing them with useful information makes your website interactive and more popular than the others.

White space and clean design

The white area is also known as “negative space.” Knowing how to make the best use of negative spacing is what can create a great design. It is not merely just a negative area; the white space enables all the other elements to exist at all. Imagine a page with no white spaces, and there are items, graphics, and images just scrambling together. I can bet you won’t even bother to look at it and in a fraction of seconds you have already moved on to another website.

Enough spacing can do a great job if done correctly. Your website will look clean and can convey the exact message you are trying to communicate amidst the target customers.

To conclude, web design might look easy from the outside but knowing these minute detailing is what makes you a great designer. After going through this blog, you can decide for yourself if you want to be just another designer or a great one. We understand that it is a lot to take in. But we at coding ninjas are here to cover you with all the information that you will need to ace the web designing practices to follow.

The importance of Data Structure and Algorithms for interviews

Google is pushing a lot of online job offering portals to work radically, to see if there are expired jobs, and to evaluate the resumes and help candidates with suggesting the right options. As a programmer, you can make sure that your resume looks good by mentioning all the languages you are efficient in and all the relevant work experience you’ve had.

But, the pivotal process of selection starts during the interview. It may take up to an hour long of conversation and about three to four rounds. The communication depends upon the job role you have been offered and the perspective of the interviewer to check on the technical and non-technical areas.

No matter what route your programming interview is looking to take, the matter of fact is that you won’t be able to dodge the questions on Data Structure and Algorithms. The concepts that surround DS and Algo are extremely handy for a programmer, and that’s why every tech giant will check your knowledge of the same.

Let’s look at some more reasons why data structure and algorithms are so important for a programmer (and therefore for interviews):

Solve the problem more efficiently

While developing software, a developer uses data structure and algorithms internally. You can collect and organize the data and perform a specific operation with the help of data structure process. Most programmers try and create their own algorithms to solve the occurring problems, or they can also use the existing algorithms from someone who has already solved the problem. With the use of object-oriented programming principles, the API(Application Programming Interface) hides the implementation of data structures and algorithms. You might have access to the source code for solving an issue, but only a real programmer can understand the application programming interface and fix the problem with the help of a practical understanding of data structures and algorithms.

Use the right tool to solve the problem:

To systematically handle the data, there are a set of techniques provided by the data structures and algorithms. Without the knowledge of core concepts, the programmer might take longer than usual to solve a particular issue. To explain further, if the programmer needs to collect the candidate’s information from Linkedin, they should have proper learning about the data structures and the algorithms. If the programmer does not know the efficient techniques, then they may not be able to write the appropriate code to handle the data.

Data structure help to run the program more efficiently

The knowledge of data structure and algorithms can be beneficial to test the efficiency of both the freshers’ and the professionals’. Even we get the computer at lower prices with enough memory; if the programmer doesn’t handle the memory with a proper technique, there is a chance that the program might leak memory. The modern programming languages use garbage collection to manage memory. The program will start losing its memory only because of the lack of knowledge of the programmer about data structure and algorithms. Also, many languages might not require an understanding of the techniques and algorithms. But to write valid code, they should know how to handle the data.

Limited candidate evaluation time

Going through the candidate’s resume might help the interviewer know all the languages they are efficient in or about all the projects they have been working with. But it takes about a few hours to select a promising candidate finally. So, the interviewer mostly evaluates the candidate by their knowledge of data structures and algorithms. If the fellow is good with structures and techniques, it becomes effortless for him to learn new languages or the syntax of the updated programming languages.

Evidently, data structures and algorithms will be a large part of any F2F programming interview you sit for. And if just thinking about interviews gives you jitters, come over to Coding Ninjas. We have specially designed interview preparation courses that cover almost everything you can expect in interviews!

Mistakes to avoid as a fullstack developer!


Making mistakes is a part of life. But being a developer and then making common mistakes can affect your career in the long run. Eleanor Roosevelt, being the extraordinary lady she was, once said “Learn from the mistakes of others. You can’t live long enough to make them all yourself.” Similarly taking notes from others and avoiding the common mistakes at the beginning of your career can save a lot of your time and efforts. So, here is a list of the frequently made errors to give you an idea of the potential problems you might confront.

1. Improper naming conventions: This industry is becoming way more competitive than ever. We have thousands of resources and tools which are smart enough to catch mistakes and fix them. But when we try to catch up with speed, we usually develop the attitude to name the variables precisely like a, b, z, etc. Here is the point where the coding lacks readability. Even if we mention a comment below, that might not make any sense to multiple people who will be working on it later. Accordingly, it’s essential to use meaningful variable names, classes or ids so that you don’t have to put an extra effort into explaining the code.

2. Long lines of code: Try and keep the methods of your coding as short as you can. Long lines of code are not just hard to read but also going through all of it can make any person misinterpret the code. It’s much easier to write as well as test small units of code than the lengthy ones. Further, when your code gets passed on to someone else, they’ll know precisely what the method does. break down multiple operations into simple, smaller operations — this will massively enhance the readability of your code.

3. Responsive web design: Getting access to online content has become so comfortable in the past few years with the evaluation of smartphones in various resolutions. This also raises the issue for web developers to create seamless navigation to web content from all types of devices. There are numerous tools and applications to create a responsive web layout. Every language has its tips and tricks, but if you want to use an independent platform, then Bootstrap(getbootstrap.com) is one of the best frameworks to work with. While working with Bootstrap patterns and practices, you will get a responsive web design without going through any trouble. Materialize(materializecss.com) is another frontend framework similar to bootstrap which can be used for making responsive designs.

4. Be familiar with the new updates: Being a developer always needs you to have the right eye for what is trending in the industry and what are the changes we should adapt for good. Still, go for the solution which you think can work better in the future by evaluating the current enhancements. You have to understand the required changes and work according to the traffic and competition in the industry. Remember the stakes are always high in software development and there is always a chance of improvement.

5. Using outdated practices: In this ever-growing industry, there is always a chance of cyber attack. The more you get into it, the more loopholes you might find. You have to be more wary of dealing with this particular issue as it may affect your whole organization in many ways and also making the revenue go down. It’s one of your primary responsibilities to do a fantastic job in programming so that you don’t have to deal with any negative case scenarios. And, that will make you stand out of the crowd of hundreds of programmers out there.

Now that you know the mistakes to avoid, you’re on your way to getting started in the right direction. come straight to coding ninjas where our exhaustive courses on fullstack development will ensure you’re always a step ahead!

Why Blockchain is totally worth the hype?

After the world got well acquainted with ‘Internet of Information’ and ‘Internet of Things’, ‘Internet of Transactions’ was introduced, known to us as Blockchain.

Blockchain, the industry that evolved with the introduction of Bitcoin, has developed into today’s one of the most ground-breaking technologies that hold the potential to change the entire dynamics of every industry in the world. To put it simply, Bitcoin is an essential peer to peer version electronic cash, but there are more sectors where this technology is expanding itself.

But what actually is Blockchain?


A blockchain is a distributed and secure database, which maintains a growing list of records, called blocks, stored on a decentralised platform. Each block is immutable and contains a time stamp and the link to the previous block. Each user can only edit the section of blockchain that he owns. This database is secured by cryptography, and a transaction can be initiated only with the private key of the sender and public key of the receiver.


Basically, a lot of complicated terms, when put together, make this technology.

To break the complexity of this, let’s first understand how cryptocurrency works.

Here’s a quick view on how any cryptocurrency works:


Let’s assume that A has to send some amount of this digital currency to B. A initiates a transaction which is sent out to a set of parties for validation. Once these parties validate the transaction, the said amount is sent to B, and a block is now added to the blockchain, with the time stamp of the transaction and this block cannot be changed, which offers the simple implication that no party can deny this transaction. Which makes this technology a platform safer than any potential third party.

The reason that the world is eager to see more of this technology is: It offers the fascinating possibility of entirely eliminating the involvement of any ‘middlemen’ from all sort of transactions and contracts. The system of involvement of third parties to ‘seal the deal” has been prevalent since forever. This being the 21st century, the involvement of these parties had to be challenged; and blockchain did it!

While blockchain is all set to revolutionise the industry of finance entirely, it is looking forward to expanding to every industry known to mankind- in healthcare to store patient’s records, a census tool for government, identity verification- you name it and blockchain will find an implementation there.

Imagine how much manpower can be saved by this great invention, and that is the sole idea behind technology anyway!

Placement talk with Tarun Singh!

A place which made me a better Coder!

Tarun Singh 

His amazing experience and what he loved!

It was a very enriching experience for me. As a person who had just started coding, coding ninjas played a considerable role in making sure that I wasn’t a beginner for much longer. The online lectures of Ankush sir and Nidhi mam provided me with exceptional clarity on concepts that I wanted to learn. Coding ninjas helped me be a better coder.

Interview experience

It consisted of 3 rounds. It focused on topics such as graphs and recursion.

Advice to Current Students!

Never feel bad about failing. Persistence is the key to becoming a better coder.

How will you introduce Coding Ninjas to your friends?

Speaking about my course. I think if you want in-depth knowledge and understanding of concepts of data structures, dynamic programming etc. this is the place to start. The experience here is unlike any other place.

Thank you for your constant support and guidance!

Essential tips for people starting their career in Data Science


Technology now is emerging at a pace which we have never seen before. So is the need to interpret data flowing from the technology. This indicates that the candidates who are working with analytics and data science have to continuously keep themselves up to date with the current events in the industry after getting a professional qualification.

Learning data science can be challenging, but it is rewarding, too. Afterall, data scientist is ranked as one of the best job roles by Glassdoor since the past three years in a row. The need for highly skilled and smart people is going to rise with the rise of big data. Pursuing your career in data science without any guidance can be a bit confusing. Which tool to use? Which technique to use? The questions are endless.

Here are some tips which will help you if you’re about to start learning data science:

Choose the right role: Rather than recklessly jumping into a decision of which role to choose, take your time to understand the requirement of the role. From a data visualization expert to a machine learning expert or a data engineer, the role of a data scientist entails a varied amount of tasks. We would like to suggest a few things you can do beforehand:

• Find out the field that you’re close to from your past experiences or the most relevant role that you can excel.

• Talk to a professional who is in this field for a long time.

• Make someone your mentor from the industry to guide you and help you choose the right role for you.

Take courses: Now that you are all done with choosing the role, the next thing you do is to understand the role entirely. Since the demand for data scientists is highly increasing, there are a lot of courses out there to look forward. You have both, paid and free classes. Now, remember, while taking online courses to be sure if it has good reviews. You can also get help from your seniors to know which direction can be beneficial. Even when you take up the course, go through it actively. Engage in every coursework, assignment and all the discussions happening around the course.

Choose a language/tool: This might be the most commonly asked questions from a beginner that which language to choose and with which tool to stick. The answer is simple, go with the one that you are familiar with or if you don’t have had any experience with coding yet then go with the simple one. After all, tools are just a means for implementation; the primary thing is to understand the concept.

Join a peer group: After choosing a language to continue with the next thing you should do is join a peer group. Not only the group members help you study but also keep you motivated throughout. Starting your career in data science can be intimidating but having a bunch of people doing the same thing besides you can make it much easier.

Even if you don’t have such people around, you can always join a massive online course and talk to people online. Trust me; there are a lot of people in it.

Focus on practice and building applications: During the course try and have a practical approach towards the projects assigned rather than theoretical. To stay on the top of the skills, you have to keep yourself updated with all the new tools that are continually coming out. Start with easy projects first.

• You can start with the projects assigned to you in the course.

• Explore the projects which are already solved by the experts.

• Instead of following a theoretical approach, look for online tools that help you code as you learn.

Follow the right resources: It is essential for a data scientist to know that the skills sets that are applied to be a data scientist are constantly shifting. So to keep a pace with that, follow the most influential professionals of this field. Read their blogs, attend seminars and meetups arranged by data scientists. As it is one of the most searched topics nowadays, scientists are actively participating in updating their blogs and updating us with the recent happenings. Make sure you don’t follow the wrong resource as it harms your career.

Work on your communication skills: Working hard on your communication skills might not associate with the fact of being a data scientist. But actually, it is one of the most important aspects as you have to communicate with a lot of people from the industry and within the organization, as you are the one who will keep them in the loop of the growth of your company. And to do that you have to communicate effectively.

Like we said earlier, the demand for upskilled data scientists is only going to increase with time. So, if you are planning to explore the career, there couldn’t be a better time than now. And, you’re just in luck, because we at Coding Ninjas offer extensive course on data science. Let our course be all the guidance you need to succeed in the career of your choosing!