10 Programming Languages With Data Structures & Algorithms (2022)

Table of Contents

Introduction

Programming languages are a type of computer language that is used to implement algorithms on computers. One of the most challenging questions in today’s world that we all face is which programming language should be chosen for learning Data Structures and Algorithms?

Let’s take a look at the most widely used programming languages for learning Data Structures and algorithms:

  • Java – When it comes to server-side application development, Java is the undisputed king. It’s a class-based, object-oriented programming language used to create software, mobile apps, web apps, games, web servers, and application servers. Java has long been the most popular programming language for Android app development.
  • Python – Python is extremely popular among programmers and data scientists due to its ease of use and adaptability. Python is a beginner-friendly language with a simple learning curve and English-like syntax. Python also provides library support for a wide variety of development needs.
  • C++ – C++ is a cross-platform, general-purpose programming language. It combines the advantages of object-oriented programming, imperative programming, and generic programming languages. It gives programmers complete control over memory and system resources. The two main characteristics of C++ are speed and efficiency, which is also why it is widely used for doing competitive programming.
  • C – C is a highly portable programming language widely used in Windows, UNIX, and Linux operating systems for scripting system programmes. C is a general-purpose programming language that may be used to create corporate programmes, games, graphics, and computations, among other things.

And there is a long list for this. Now, should we learn all of the programming languages? The answer is No, you need not.

Learning one language is sufficient to start a career as a software developer. Once you learn one programming language in-depth, then you can learn the other programming languages easily.

But in order to learn a programming language, you should know each in and out of the concepts, fundamentals used in the programming language.

10 Programming Languages With Data Structures & Algorithms (1)


Data Structure And Algorithm:

Data Structure and Algorithm contains two terms:

  • Data Structure
  • Algorithm

Data Structure refers to the storage, arrangement, and organization of the data. And this algorithm is basically solving a problem step by step. To solve a problem step by step by arranging the data in an efficient manner.

Data Structure refers to the storage, arrangement, and organisation of the data. And this algorithm is used for solving a problem step by step by efficiently arranging the data. In short, data structures and algorithms are all about writing optimised codes.

In other words, it would be right to say that data structure is the organization of data that enables us to perform some of the operations in an efficient manner.

An algorithm helps us to solve the same problem in milliseconds while other algorithms would take a much longer time to do so.

Importance of Data Structure:

Let’s talk about how important a data structure and algorithm is and what role it plays in a programming language? Storing as well as arranging the data in the disk space of the computer or memory storages the system is the data structure.

Now, why is this done? This is done because if data is stored in an efficient manner, then they can be retrieved and accessed easily, which will increase the performance.

Are these things really needed in real life?

Let’s understand with the help of an example.

Let’s say you have a book of 70000 pages, in which your roll no. is there.

Now, suppose you need to search your roll number. How will you actually do that?

There could be a number of ways to search the roll no in that 70,000 pages book, but we need to find the most efficient method out of them.

(Video) Which Is Best Programming Language For Data Structures And Algorithms?😜😜😜

  • You will start searching from the very beginning and will keep on finding it. But in this way, it will take too much time to find your roll no, if let’s say is on page 67000.
  • To avoid this, you may use a Binary Search to find your roll number.

In this, you would go to page no. 35,000 and will see your roll no on that page, now if all the roll no. on the page are lesser than your roll no then you will go to page no. 35000+(35000/2).

By continuing this way, you would be able to find the roll no. in a much shorter span of time. This is one of the most efficient ways of searching.

Data Structure in day to day life:

Why are we learning Data Structure?

Do we really encounter all these in our daily lives?

There are multiple scenarios where we need these data structures and algorithms in our lives.

Some of them are:

Using Queue Data Structure as Boarding a Bus:

A queue is a data structure that is of linear type. In Queue, elements are arranged in the First In First Out manner which is abbreviated as FIFO.

Suppose, there are 10 passengers standing in a row to board the bus. The passenger who comes first would get boarded first on the bus.

This is shown through the picture shown below. Whenever there is a new passenger, it can come through the backside only which means he/she can board the bus in the last only.

Let’s understand it with the help of commands given to the printer.

Suppose there is a small organization, which has only one printer, and let’s say five commands are given to the printer to print the doc.

So, all 5 commands will be stored in the queue and they will be printed in FIFO order only. That means the second command will be printed only once the first command is executed.

Using Graph Data Structure For Google Maps and Social Media:

Google Map is one of the widely used and useful technologies developed by Google. According to Wikipedia, in 2020, over 1 billion people used google maps per month.

This google map uses Graph as the data Structure to predict the paths and the traffics shown over there.

10 Programming Languages With Data Structures & Algorithms (3)

A graph is considered to be an interconnected item and each item is basically a node and distance between two nodes is an edge. Social Media is also an example of a Graph data structure.

We use Facebook, Instagram, Tinder etc. All these social media use graphs. Every user on these social media can be considered as the node and when we connect through the node it is called edge.

The more we connect with people, the more edges will be there and eventually, it will form a network something like Facebook we use.

(Video) Algorithms and Data Structures Tutorial - Full Course for Beginners

Using Stack Data Structure For Pile of Plates:

A stack is the Data Structure which is used and can be related to the piles of plates that we often see in our kitchens, in marriage functions etc. These follow the Last In First Out approach (LIFO).

It can be visualized how plates are put on over the other and the plate which we put at the last is the one which gets out first. Insertion and removal can be done from the top only.

Now, we talked about how a data structure and algorithm is useful and powerful in the programming field and in the day to day life as well.

Now, let’s talk about why 1 language is more than enough to start a career in the software development field.

Programming Language to start your Career:

It never matters how many languages you have gone through. The thing that matters is how much have you gone through in that language.

Better to know the concepts thoroughly used in the language than learning multiple languages. To start the career as a software developer, a person can pick any language like Java, C++, Python, Node.js etc. and can start his/her career.

The language must be Object-Oriented language. The reason behind picking Object Oriented language is that you can learn any other language easily.

It is very important to learn the fundamentals of the programming language thoroughly as these are things that can make a strong base of yours.

People who have sound knowledge of the fundamentals of data structures and algorithms are better programmers than others and are paid much higher.

Most of the technical interview focuses primarily on data structure and algorithm skills only. This is so because those who have good knowledge of Data Structure and Algorithm are good problem solvers and have logical minds.

Software developers are paid higher than people in different sectors and this is because they solve complex real-world problems because of their strong coding skills which ultimately is because of their strong Data Structure And Coding Skills.

They keep on solving problems which people think cannot be solved.

During my final year days, I used to apply for different software engineer positions, at that time I could find one common thing among those interviews, which was the Data Structure and Algorithm part.

More than 98% of companies search for the candidate who has sound knowledge of data structure and algorithms and this decides your pay as well.

Java Or Python : Which one is for you?

People often confuse the language to choose to start a career with as a software developer. Well, Java is a language that would never fade away and many big giants use java and would keep using it.

On the other hand, Python is the future and its development would be helpful in many areas without a doubt. Python somehow is more productive than Java. Writing code in Python is much easier and it provides rapid development of many of the applications.

One of the reasons behind so much the popularity of this language is that code is quite simpler and much easier to write and the length of the code is also quite short.

It is also better to learn the data structure and algorithm in the same language which you have chosen as your primary language.

Languages to learn in 2021

In the field of programming, there are about 700 programming languages.

(Video) Data Structures and Algorithms - Best Programming Language

Understanding the importance of each programming language and how it affects the tasks we need to complete is critical.

Since we won’t be able to look at all 700 of these coding languages altogether, it’s a good idea to go through some of the most popular languages in 2021 and beyond.

S.No.LanguagesFuture Scope
1.PythonPython, without a doubt, has a bright future in the programming language development area, particularly in the disciplines of data visualisation, artificial intelligence, data science and machine learning.
2.JavaJava is widely utilised in many businesses. It may also be used to make a variety of goods and has a wide range of uses. It is currently the most widely used programming language, so it’s pretty worth learning.
3.C++C++ has a wide range of applications, and studying it is never a bad thing. It is a very simple language to pick up and understand. In the industry, it has a wide range of applications. Along with graphic designs and 3-D models, it’s also employed in games.
4.CAlthough C is out of date in some applications, it is not going away anytime soon. It has a wide range of real-world applications, and it will continue to be used in the industry for many years to come.
5.C#C# is a language that is gaining in popularity and is likely to remain so in the coming years due to its effective capabilities in producing games and its resilience, both of which benefit the gaming industry. It’s also quite beneficial in business applications.
6.JavascriptJavaScript is a widely-used programming language. It is so extensively used that another programming language may take a long time to replace it. It is also used in artificial intelligence and other fields, in addition to web development. This language should be at the top of anyone’s learning priority list.
7.RubyIn today’s world, Ruby is still utilised for a large number of applications. As a result, it’s a great language to learn because you’ll be able to create complex apps in no time. It also has robust technology. Therefore it is still relevant today.

Learning Multiple Programming Languages:

Well, there is no harm in learning multiple programming languages. But do not prefer this over Data Structure and Algorithm. Never do so.

Always pick one OOP language, try to grasp all the concepts of the language. Pick the data structure and algorithm with the same language.

Now, you may learn as many languages as you wish.

You may pick the languages there in the market. It is always important to focus on DSA, chances will be increased to get hired as a software developer in FANG companies if you acquire good DSA skills, but yes languages will be cherished.

Best Courses to learn Data Structure and Algorithm:

There could be plenty of courses in today’s digital era. But choosing the one wisely which is worth spending money and time is really important.

Let’s discuss some of the best courses available:

  1. Data Structure and Algorithm by Coding Ninjas:
    Coding Ninjas offers one of the most complete courses of Data Structures and Algorithms in terms of content, money and learning, mentorship. I myself took the course of coding ninjas which is Data Structure and Algorithm in Java and found it really helpful. Hence, these are really nice courses.
  2. Learning data Structure and Algorithm in Python from Scratch:
    The course can be accessed through Udemy easily. To start a course in Python from scratch, you may go for this course. As already discussed Python is going to dominate over the tech world for the next decade for sure.
  3. From 0 to 1: Data Structure and Algorithm in Java:
    This course is delivered by some of the most experienced people from big company including Facebook, Microsoft, and Amazon. This course will take you from negative to industry-ready. Visualisation is very important to understand good levels of data structure and algorithms.

Learning just one programming language is more than sufficient if you master data structure and algorithm skills enough to solve real-world problems.

Frequently Asked Questions

Which programming language is best for data structures and algorithms?

Data structures and algorithms are not language specific and hence you can use any language be it JavaScript, C, C++, Java or Python. You should feel comfortable with the syntax of the language and you are good to go.

Are data structures and algorithms the same for all languages?

Yes, the concepts for data structures and algorithms are same for all languages. The only thing that changes is the syntax.

What are the top 10 programming languages?

The top 10 programming languages include Python, JavaScript, Java, C#, C, C++, GO, R, Swift and PHP.

Can I learn data structures and algorithms in Python?

Yes, you can learn data structures and algorithms in Python.

Is Google written in Python?

Python is one of the official languages of Google in addition to other popular languages such as C++.

(Video) Best Language for Learning Data Structures and Algorithms ?

Should I learn Java or Python?

It depends on your use case. If you wish to go for competitive programming, pick Java. If you wish to go for development, learn Python.

How do I start learning DS and algorithms?

After mastering one programming language, the next step is to use that language to implement data structures. Starting from linear data structures, move towards advanced topics but don’t just study topics theoretically. Simultaneous implementation is important. To get a defined path, taking an online course is recommended.

Which language is best for DS and Algo?

Most competitive programmers use C++ because of its efficiency for DSA. That being said, the language is just a medium and any language that you are affluent with is appropriate for you to implement DSA.

How do I prepare for DS and algorithms?

Practicing as many problems as you can find and that too consistently is the key to mastering DSA. Online platforms like CodeStudio, LeetCode, Codeforces have a pool of problems of all types, practicing which will help you master DSA.

How long will it take to learn data structures and algorithms?

On a generic note, mastering DSA will take around 3-4 months. A good foundation is important so do not rush through it, be patient and take your time because the pace of learning is different for every learner.

Is Python good for Data Structures?

Python is considered to be a good language to start with if you are a beginner. Moreover, in terms of speed, there is no better language than Python. In the aspects of speed, convenience and syntax, python is a good language for Data Structures.

Is Python good for algorithms?

Algorithms are not written with the medium of programming languages. They are essentially written in a syntax which is considered to be the closest to Python due to Python’s closeness to the English language.

Key Takeaways

We discussed how important data structure and algorithms are to solve real-world problems and how effectively it is being used worldwide. But on the other hand, knowing more than one language is not a bad thing either.

If you have mastered data structure and algorithm skills good enough then definitely you may choose to learn some other language. You should keep yourself updated with the latest market trend definitely. For example: If you are a tech guy then according to the latest market trend you must know what Machine learning and Artificial Intelligence is.

(Video) Top 6 Coding Interview Concepts (Data Structures & Algorithms)

Once you have decided to study a programming language, you can also have a look at the free Guided Paths offered on CodeStudio. These Guided Paths are intended to provide a broad overview and provide you with the essential information.

By Deepak Jain

FAQs

Which programming language is good for data structures and algorithms? ›

C++: C++ is an object-oriented programming, imperative programming, and generic programming language. It's used in every organization for solving problems based on data structures and algorithms during a coding interview.

Should I learn DSA Python or C++? ›

Best Language to Learn DSA:

According to a recent search on google, it is found that C++ is the best language for the competition as well as to solve the data structure and algorithm problems. C++ can teach you memory management skills and time complexity instructions in an efficient manner.

Which DSA language is easiest? ›

High-level languages like Python and Ruby are often suggested because they are high level and the syntax is quite readable.

Is Python good for data structure? ›

Python has implicit support for Data Structures which enable you to store and access data. These structures are called List, Dictionary, Tuple and Set. Python allows its users to create their own Data Structures enabling them to have full control over their functionality.

Is DSA same for all languages? ›

The data structure and algorithm as concepts are the same across languages, the implementation however varies greatly. Just look at the implementation of quicksort in an imperative language like C and in a functional language like Haskell.

How many days it will take to learn data structures and algorithms? ›

Usually, it takes 2-3 months to learn the basics and then a rigorous, six months regular practice of questions to master data structures and algorithms.

Should I learn oops or DSA first? ›

You should know the programming language you are using before you learn about data structures. If that happens to be an OOP language then that is what you need to do first. If you already know a non-OOP language like C then there is no reason why you couldn't dive in and start learning about data structures.

Which is better for DSA Java or python? ›

Java is faster because of the JVM, it executes the bytecode faster than the PVM (Python Virtual Machine) and hence makes the process super easy and fast.

Is OOP required for DSA? ›

No,OOP concepts are not required for competitive programming.

Should I learn C++ or Java for placements? ›

And, C++ is the most recommended programming language for competitive programming primarily because of the availability of a rich library known as Standard Template Library that allows you to deal with various data structures such as lists, graphs, stacks, arrays, trees, and others effectively.

Which language should I choose for data structures? ›

C++ is the best language for not only competitive but also using to solve the algorithm and data structure problems . C++ use increases the computational level of thinking in memory , time complexity and data flow level.

Which language is best for interview? ›

From my experience as an interviewer, most candidates pick Python or Java. Other commonly seen languages include JavaScript, Ruby and C++.

Should I learn Python or Java first? ›

If you're just beginning to learn how to code, you might want to start by learning Python because many people learn it faster. It's simple and more concise, while Java has more lines of complex code.

Which is best Java or Python? ›

Java and Python are the two most popular programming languages.
...
Java Vs. Python.
DimensionsJavaPython
TypingStatically-typedDynamically-typed
VerbosityVerboseConcise
Compiled/ InterpretedCompiledInterpreted
Object-oriented/ Scripting LanguageObject-oriented LanguageScripting Language
7 more rows

How can I study DSA? ›

5 Steps to learn DSA from scratch

Learn a programming language of your choice. Learn about Time and Space complexities. Learn the basics of individual Data Structures and Algorithms. Practice, Practice, and Practice more.

Which programming language you should learn first? ›

Java. Java is one of the oldest object-oriented languages and one of the most sought-after languages to be proficient in. Because of its popularity, Java tutorials and information are widely available, making this a great candidate for starting your first programming project.

Does SQL is a programming language? ›

Structured Query Language (SQL) is a standardized programming language that is used to manage relational databases and perform various operations on the data in them.

Which programming language should i master? ›

1. Java. Java is one of the most popular languages of the last two decade and rules the world of server-side application development. It also holds sizable market share in mobile games and application development using Android and enterprise web development world.

Is 1 month enough for DSA? ›

Striver's sheet contains 180 questions, which can be completed in 2–3 months at a normal pace, but if you know the basics of DSA then one can complete the sheet in 1 month only.

Is data structures easy or difficult? ›

While we know that it is challenging to learn data structure, programmers need certain support and guidance whenever they get stuck in problem-solving. Lack of support is also one of the reasons programmers don't know the best way to learn data structures and algorithms.

How do I practice DSA questions? ›

7 steps to improve your data structure and algorithm skills
  1. Step 1: Understand Depth vs. ...
  2. Step 2: Start the Depth-First Approach—make a list of core questions. ...
  3. Step 3: Master each data structure. ...
  4. Step 4: Spaced Repetition. ...
  5. Step 5: Isolate techniques that are reused. ...
  6. Step 6: Now, it's time for Breadth.
13 Nov 2019

How many hours should I practice programming? ›

In optimal circumstances, it will take around 500-1000 hours to become a job-ready programmer. If you practice 8 hours a day on 5 days a week, this means 13-26 weeks. But this is a ballpark estimate.

How many DSA questions do you get a day? ›

Almost 7-8 questions a day within the timeframe of 4-6 hours are good enough.

What is 100 days of coding? ›

You will master the Python programming language by building 100 unique projects over 100 days. You will learn automation, game, app and web development, data science and machine learning all using Python. You will learn Selenium, Beautiful Soup, Request, Flask, Pandas, NumPy, Scikit Learn, Plotly, and Matplotlib.

Is Java enough to get a job? ›

According to the Stackoverflow 2019 survey, Java is in the top five most used languages professionally, giving way to JavaScript, HTML/CSS, SQL, and Python. That means companies are actively using it for their projects and there are enough jobs in this field.

Which pays more Java or Python? ›

In the US, the median annual salary for Python developers is about $96,000, while for Java developers it is approximately $97,000. Both are very popular so if you become skilled in either, you can start working as a software developer or intern to start your career.

What coding language is most in demand? ›

1 - JavaScript / TypeScript

Since its creation to make the firsts websites dynamic, JavaScript hasn't stopped gaining popularity over the years. With that being said, currently JavaScript is the most demanded programming language in the entire market.

How do I master DSA? ›

Key Points to keep in mind to master DSA
  1. Spaced Repetition: A most common question anyone faces is: “I solved a number of questions but still cannot solve them after 7 – 10 days. ...
  2. Practice more and more: ...
  3. Solve a variety of problems: ...
  4. Participate in Coding Challenges: ...
  5. Try solving Interview questions:
20 Jul 2022

How can a beginner practice DSA? ›

Table of Contents/Roadmap
  1. 1) Learn about fundamental concepts of Programming. a) Variables and Data Types. ...
  2. 2) Choose a Programming Language.
  3. 3) Start learning with Data Structures.
  4. 4) Get to know about Algorithms.
  5. 5) Learn and Practice Complexity Analysis.
  6. 6) Finding the best resources for DSA.
  7. 7) Practice and Practice.
11 Jul 2022

Can I learn data structures and algorithms without language? ›

It will give you a clear idea and it would be easier for you to understand the algorithms in terms of Programming. Not required though . But you can .

Is Python enough for placement? ›

the answer is yes, python has become one of the most prominent programming languages in recent years and it is a very good choice for the students to get placements along with C++ language and Java programming language.

Is Python enough for campus placement? ›

Yes, Python is useful for placements only if the company desires a python developer and you have a very good foundation in programming. If you apply for a python job profile and have the required experience, there is a high chance you will be placed.

Is C enough for placements? ›

Yes they are more than enough to get placed in any of the product based companies that you have mentioned above .

Which is the best programming language for problem solving? ›

C++ and Java are the best languages for competitive programming. Most competitive programmers participate using C/C++. Java is the second most popular language for competitive programming. C++ and Java are the preferred languages because of STL and Java Libraries in the respective languages.

What language is used for algorithms? ›

While algorithms are generally written in a natural language or plain English language, pseudocode is written in a format that is similar to the structure of a high-level programming language.

Is C++ hard to learn? ›

C++ is known to be one of the most difficult programming languages to learn over other popular languages like Python and Java. C++ is hard to learn because of its multi-paradigm nature and more advanced syntax.

Is Python not allowed in interviews? ›

Before anything else, you need to pick a programming language for your algorithmic coding interview. Most companies will allow you to code in the language of your choice. The only exception I know is Google. They allow their candidates to pick from only Java, C++, Python, Go or JavaScript.

How do I pass a Google interview? ›

How to prepare for behavioral interviews
  1. Predict the future. You can anticipate most of the questions you will be asked. ...
  2. Plan. Write your answers down. ...
  3. Have a backup plan. Google recommends having 3 answers per question. ...
  4. Explain. ...
  5. Be data-driven. ...
  6. Clarify. ...
  7. Improve. ...
  8. Practice.
28 Oct 2021

Is C++ Good for interviews? ›

Use a dynamic language, but mention C

Of course, you should use whatever language you know best. But we find that many people try interviewing in C , C++ or Java, under the impression these are the “real' programming languages. Several classic books on interviewing recommend that programmers choose Java or C++.

What is the fastest programming language? ›

Fortran. Fortran is a general-purpose language used for scientific calculations. It is known for its high performance and is used in ranking the fastest supercomputers. Fortran is widely used for numerical programming since it is faster.

Is Python harder than C++? ›

Is C++ Harder Than Python? Yes, C++ is harder to learn and work with than Python . The biggest difference is that C++ has a more complex syntax to work with and involves more memory management than Python, which is both simple to learn and use. Python is considered a better beginner programming language.

Can Python replace Java? ›

Python reached an all-time high on the index with an 8.5% rating. While it still falls behind Java (15%) and C (13.3%), if it continues to grow at the same rapid pace, Python will likely replace both Java and C within the next three to four years, becoming the most popular programming language in the world.

Can I learn Python in a month? ›

In general, it takes around two to six months to learn the fundamentals of Python. But you can learn enough to write your first short program in a matter of minutes. Developing mastery of Python's vast array of libraries can take months or years.

Is Java easier than C++? ›

Most experts will tell you that Java is easier to learn. It's a newer language than C++ and isn't as complex in its principles or execution. However, there's more to consider than a language's learning curve. Selecting a programming language comes down to what you want to do with it.

Is Java better than C++? ›

Java has solid runtime performance, but C++ still holds the crown since manual memory management is faster than garbage collection for real-world applications.

Should I learn DSA Python or C++? ›

Best Language to Learn DSA:

According to a recent search on google, it is found that C++ is the best language for the competition as well as to solve the data structure and algorithm problems. C++ can teach you memory management skills and time complexity instructions in an efficient manner.

How do I start DSA in C++? ›

Roadmap to learn Data-Structures and Algorithms!! How to ... - YouTube

Where can I practice DSA? ›

7 Best Websites to Prepare for Data Structure, Algorithms, and Coding Interview Questions
  • Udemy. This is one of the best websites to find programming interview preparation courses at affordable prices. ...
  • Educative. ...
  • LeetCode. ...
  • HackerRank. ...
  • CodeFights. ...
  • Interview Cake. ...
  • Pramp. ...
  • 5 Best Books and Courses for Coding interviews.

Which language should I choose for data structures? ›

C++ is the best language for not only competitive but also using to solve the algorithm and data structure problems . C++ use increases the computational level of thinking in memory , time complexity and data flow level.

Does language matter for DSA? ›

Does it matter in which languages I decide to learn algorithms and data structures? It matters only to a certain point in which languages you decide to learn algorithms and data structures. If your choice is between Python, Java, or JavaScript, then it will not make such a big difference.

Is JavaScript good for DSA? ›

Yes, JavaScript is definately a good option to implement various Data Structures and Algorithms. As JS is both server-client side application language, its better to learn it and best way to get started is to implement various Algorithms /DS like Heap, Stack, Queue, etc using it.

Can we learn DSA in Python? ›

The Complete Data Structures and Algorithms Course in Python. This is one of the top courses to learn Data Structures and Algorithms Courses in Python in 2022 from Udemy. You will learn data structure and algorithms from scratch and it also comes with 100+ coding problems for interviews.

Which programming language you should learn first? ›

Java. Java is one of the oldest object-oriented languages and one of the most sought-after languages to be proficient in. Because of its popularity, Java tutorials and information are widely available, making this a great candidate for starting your first programming project.

Should I learn C++ or Java for placements? ›

And, C++ is the most recommended programming language for competitive programming primarily because of the availability of a rich library known as Standard Template Library that allows you to deal with various data structures such as lists, graphs, stacks, arrays, trees, and others effectively.

Which is the best programming language for problem solving? ›

C++ and Java are the best languages for competitive programming. Most competitive programmers participate using C/C++. Java is the second most popular language for competitive programming. C++ and Java are the preferred languages because of STL and Java Libraries in the respective languages.

Which language is best for interviews? ›

From my experience as an interviewer, most candidates pick Python or Java. Other commonly seen languages include JavaScript, Ruby and C++.

Does SQL is a programming language? ›

Structured Query Language (SQL) is a standardized programming language that is used to manage relational databases and perform various operations on the data in them.

Which language is best for Google interview? ›

For Google software engineering interview you can prefer any programming language you are comfortable with but you should know your programming language very well, It would be great if the choice is C++ or Java.

Which is the hardest data structure? ›

Personally, the hardest data structure I ever coded was a red-black tree.

How can I study DSA? ›

5 Steps to learn DSA from scratch

Learn a programming language of your choice. Learn about Time and Space complexities. Learn the basics of individual Data Structures and Algorithms. Practice, Practice, and Practice more.

Can I do DSA in Java? ›

Data Structures are the programmetic way of storing data so that data can be used efficiently. Almost every enterprise applicaton uses various types of data structures in one or other way.

Should we do DSA in Java or C++? ›

Most competitive programmers use C++ because of its efficiency for DSA.

How can I improve my DSA skills? ›

7 steps to improve your data structure and algorithm skills
  1. Step 1: Understand Depth vs. ...
  2. Step 2: Start the Depth-First Approach—make a list of core questions. ...
  3. Step 3: Master each data structure. ...
  4. Step 4: Spaced Repetition. ...
  5. Step 5: Isolate techniques that are reused. ...
  6. Step 6: Now, it's time for Breadth.
13 Nov 2019

Why is DSA so important? ›

Why is DSA important? A person equipped with strong DSA skills will have better and more efficient approaches to solving a problem than someone who is not aware of DSA concepts. You might not apply DSA directly in your job, but DSA is the foundation of computer science.

Videos

1. 🔴 #10 Late Night Algorithms with Software Developer - Data Structures and Algorithmic
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