How To Know Which Programming Language Is Good For Me

pcbinary June 27, 2021 0 Comments

10 Best & Most Used Programming Languages

Starting the list in reverse chronological order, let’s take a look at the top10 most used programming languages to figure out what kind of tools will bethe best to suit your skill sets and career goals.


Python is considered an interpreted multi-paradigm programming languagedeveloped by Guido van Rossum in the year 1980. It is planned for generalprogramming purposes. Python uses indentation for readability and itsencouragement for elegant code. Python is the choice for Google and Ubuntu. Itis simple and incredibly readable because it resembles more like the Englishlanguage. Python is the best language for beginners and seasoned professionalsas well. Python is a consistent language and works extremely well. It cancomplete the task in fewer lines of code. People who are using Python, most ofthe time, are data engineers, developers, and data scientists.


So, the language that rules the programming world is none other than “Java.”It was released in 1995 by Microsystems. It is an object-oriented language,which uses a compiler. Java is claimed to be the best when it comes to aprogramming language because it is not only well-organized but also has alibrary of reusable components of software. Programs in Java can run ondifferent computer architectures and operating system because it utilizes JVM(Java Virtual Machine).It is also the most used programming languages by over 9 million developersand running on 7 billion devices all over the world. Also, it is used todevelop all native Android apps. This language is grounded in readability andsimplicity. It has long-term compatibility and is used by brands,, and Java can run virtually on anycomputer and is independent. Back-end web developers are the ones who areusing this language frequently.The results of the ten most used programming languages highlight how userstend to spend their spare time. Wearables, native apps, and microcontrollersdominate the project. Stop choosing a language, and start coding something.After all, it doesn’t matter if we create a certain simple program or tackle alarge application. Any people can become developers. Developers are not bornwith innate coding skills. You have to learn how to program first. All youhave to do is to be passionate about it. The best developers are challenged bytasks and are mostly self-taught. Books, education and courses will help you,but you have to learn to code by simply doing it.Never be afraid if you picked the wrong language because there are no wrongones. There are thousands of coding languages that are existing today. Theyare not our language. Coding languages have no alphabets or vocabularies. Theyare codes, special commands, ways of arranging texts, and abbreviations. Allsoftware are written with codes, and every code is unique. A coding languageis designed with a certain platform, intended use in mind, operating system,and coding style. There are so many coding languages, yet there is no enoughtime to learn them all. The best part, however, is that you don’t have tolearn all of these to become a great coder. Just work on few languages and youwill be just fine.The web is a hostile environment for beginners. You can be a great coder – indue time. Just remember that the difference between a good developer and thebest developer is curiosity. A great developer wants to understand how thingswork. Consider writing your very own libraries before using the works ofsomeone else. Code re-use is very important, and you have to delve deeperwhile you are learning at the same time. If it is not suited for your project,then discover what it is through trial and error. You have to pick somethinginteresting that could be your project, choose any language, and simply do it.

How To Know Which Programming Language Is Good For Me?

The ability to browse the history of their performance is the most commonrequests around programming language rankings. What kind of language abeginner should learn first? You have to learn JavaScript whether you like itor not. If you want to learn more about back-end web development, you have tostudy SQL. If you are interested in being a data scientist, Python is a goodlanguage to learn. Choose Java if you want to work for an enterprise. SQL is anice place to start with if you are more interested in job opportunitiesrather than building things.If you want to go with the mainstream, you have to learn the Java, JavaScript,and all the C family. Programming is a sellers’ market these days, and thereare many opportunities for programmers who know a variety of languages to landon it. The performance sustained by the language reflects the language’sversatility and growing strategic role. A great artisan has a belt full oftools, which are suitable situations. If you want to become a developer, youhave to be well versed in some languages. You have to be versatile, adaptable,and never stop learning languages throughout your career.Top 10 Best Programming Languages for Data Science

Top 10 Best Programming Languages for Data Science

Last Updated: 25 Jan 2021Last Update made on August 19,2016In the astronomically growing cyberspace of the 21st century, coding is (andwill continue being) a hot skill. If you are an experienced programmer, youprobably know the way of the world by now and would be smart enough to decidewhich programming language best compliments and upgrades your existing skillset. Still, spending 10 minutes of your schedule reading through this articlewon’t harm, as you are likely to discover something you didn’t already know.By and large, this article is targeted at the beginners in data science whohave a passion for coding but do not really know where to start – or what tostart with?Coding is a key skill in a data scientist’s toolbox for custom analysis anddata visualization. According to a CrowdFlower report by Packt PublishingLtd., conducted to identify the top money making skills in data science andBI, the programming languages that made to the Top 5 list are Python, SQL, R,Java and JavaScript.One of the most popular question that is asked by anyone who is beginning witha career in Data Science is – “What programming languages should I learn toget started in the field of data science?” or “What are the best programminglanguages for data science?” For people who get confused in choosing the bestdata science programming languages to learn, ProjectPro has come up with agood choice of languages that every beginner in data science must learn -tostart with programming. The top programming languages for data science listedin this article are not based on any specific criteria but have been selectedbased on their popularity in the data science community. Whether you are adata science rookie or a seasoned data scientist, it is good practice to learnall these programming languages to get a good grasp on all data scienceconcepts.Here we have put together a list of 10 programming languages thatwould give you a broad foundation for becoming a data scientist, from whereyou would be able to build your way up into the world of data science withrelative ease.


Ahh, back to good old Python. A favorite among programming language learnersthroughout the world, Python arguably tops the list of the most usedprogramming languages to learn to code. It is taught in schools, and manyintroductory programming courses teach it because of its simplicity.Although it was developed in the 1990s, Python has been slowly rising theTiobe Index for years. It broke into the top 5 languages for the first time afew years ago, and it currently sits just behind C++.Python is another very versatile language which is used for all sorts ofthings. Along with traditional uses like web development and data analysis, itis becoming increasingly popular in the fields of Machine learning, artificialintelligence, and robotics.As we have already noted, Python is super easy to learn, putting it at the topof the best programming languages for beginners.If you’d like to learn this particular language, then the best option for youis heading to edX and checking out their Python course.


Many people will argue that JavaScript should be higher on this list, and theymay as well be right. As a language that has traditionally been used forfront-end web development, JavaScript has exploded in popularity recently asmore developers have begun to use it for back-end development as well.This means that, in theory, JavaScript could be used to construct the majorityof a website.However, some people claim that JavaScript’s sometimes confusing code willresult in it losing a lot of popularity over the coming years.This is something to keep in mind when you are choosing a language to learn.Just because JavaScript is one of the most used programming languages nowdoesn’t necessarily mean that it will be in the future.If you believe that JavaScript still has a strong future and want to learn it,consider using this Udacity’s course!


PHP is known as the language of the web. Although some companies are startingto move from PHP to more modern languages, over 80% of the websites on theinternet still use it. PHP is definitely among the most in-demand programminglanguages, and it probably belongs higher on this list.PHP facilitates back-end web development, allowing developers to build dynamicweb applications complete with SQL database connections.PHP is one of the most used programming languages by high-end developersthroughout the world, which means that learning PHP would be a good place tostart your programming journey. Some of the best features of PHP include: * Very simple to learn, even if you are a complete beginner. * Very understandable, easy to follow the syntax. * Flexible and user-friendly, allowing you to write even complex code quickly and efficiently. As you can see, PHP would be a great language for you to learn. If you thinkyou would like to give it a go, check out this PHP course!


SQL is different from a lot of the languages on this list in that it has avery specific use case – to facilitate the analysis of consumer, sales, andother data from huge company databases.Also known as the Structured Query Language, SQL allows you to interact withdatabases in the way that you want to.SQL is among those most used programming languages that are used by prettymuch all major eCommerce platforms – including eBay and Amazon – to informmajor business and marketing decisions.There are plenty of reasons why you should consider learning SQL, including: * There is a high demand for SQL developers, which means that there is good money to be made. * It is much easier to use than things like Microsoft Excel when it comes to data analysis, saving you time and money. * It will make you a lot more employable as a programmer. SQL can significantly impact your career path, allowing you to potentially command much higher salaries and better jobs. If you like the sound of SQL, have a look at this SQL course. This course willteach you the basics of SQL coding, how to access and manage databases, andhow to analyze the data you have.

Conclusion – Choosing The Most Useful Programming Language For You

So here we are, at the end of the list of the top most used programminglanguages. We looked over a variety of different languages, each of which hadquite different use cases. Now the big question remains:How do you choose the most useful programming language for you from this list?There is no clear answer here. A quick look at any number of popularprogramming languages suggests that the best language for one person to learnwill not necessarily be the best language for the next person. Consider thefollowing when deciding on the best language for you to learn: * What sort of work you want to do. Different languages are used for different things, which means that your career choice will guide your choice in a programming language. * How much programming experience you have. Harder languages are best left to people who already have at least some programming knowledge. * Where you want to work. It is important to realize that different programming languages are more in demand in certain parts of the world. Consider this when selecting a language to learn. As you can see, there are plenty of things to think about when it comes tochoosing the right programming language to learn.Starting with a list of the most used programming languages, as outlinedabove, is a good idea, but remember – the right language for you will dependon your needs, wants, and commitment to becoming a programmer.If you want to learn any of these programming languages, then head to edX forhigh-quality courses!

Scientific Programming Languages

11 Aug 2015, Andrew NingI’ve used a number of scientific programming languages over the past 16 years:C++, C, Matlab, Java, Fortran, Python, and Julia, and I wouldn’t name any oneas the “best” (I’ve also used Objective-C, JavaScript, and PHP quite a bit,but not for scientific computing). Usually I try to pick the right tool forthe job, not necessarily just the tool I happen to know best (as they say: ifall you have is a hammer, everything looks like a nail). However, my usage hasevolved over the years from Matlab-centric, to Python-centric, and I’mcontemplating a move to Julia-centric. Before explaining why, let’s discusssome of the reasons why I might choose one language over the others.Edit (May 2019): We’ve gone all in with Julia shortly after this post waswritten (see bottom of post)


I dabbled in Python a bit during graduate school, but really only for randomfun side projects (like this movie filter project we made as a proof ofconcept). As a postdoc I started using Python for everything. Python is prettygreat. It is a very easy language to use. It has simplistic syntax likeMatlab, but unlike Matlab it allows for objected oriented programming (I knowMatlab has some OO features, but they are pretty weak), functionalprogramming, or procedural programming.Python is free. This may have saved us some money (not really we already hadMatlab licenses at the lab), but the bigger benefit is that it allowed othersto use our code. We had some users/collaborators who did not have Matlab andso developing in Matlab limited our ability to collaborate. Matlab does have aruntime you can distribute to allow users to run your code, but it doesn’tallow them to develop as well.It’s also open-source. In scientific computing, I’ve needed to dive into thedetails of certain algorithms many times. In Python I can do this, in Matlab Ican rarely do this.One of the main benefits of Python, for me, was performance. This seems odd tosay because Python is not fast. It’s an interpreted langauge with speedssimilar to Matlab’s. However, Python allows you to wrap C/Fortran code prettyeasily. Now, instead of rewriting my entire code in a compiled language, Iwould profile, find the bottleneck, and rewrite just that portion in Fortranor C. This allowed me to approach effectively the same speeds I would get inpure Fortran or C, but with an easy-to-use, rapid development environment inPython for scripting, plotting, debugging, etc. It also allowed me to easilytake advantage of existing C/C++/Fortran libraries. A wide variety of compilednumerical libraries are already available in numpy, scipy, etc., but forspecialized tools (like finite element codes, aircraft panel codes, etc.) Iwas able to wrap these in Python. Being able to directly pass variables,instead of trying to read/write input files, made using and integrating thesecodes much easier—especially for optimization applications.This is perhaps the primary use of Python in scientific computing. It is oftenreferred to as a “glue code”. Meaning, that most of the work is not actuallybeing done in Python, but Python serves as the glue that links codes together.I’ve linked a blade element code in Fortran 95, a beam finite element code inC++, a cost model in C, and dozens of other components in pure Python, allwith an optimizer written in Fortran 77. All the interfacing is done in Pythonmaking data passing and scripting very easy.Python has completely replaced Java and C++ for me and almost completelyreplaced Matlab as well. The combination of Python with either Fortran or Cgives me the benefits of a fast compiled language with a lightweight,interpreted, easy-to-use interface. What’s the downside? The main downside isthat I have to work with multiple languages still. There are someinefficiencies (in terms of development) in switching between languages.I should say of course that your mileage may vary. I don’t work in controls,but as far as I’m aware there is nothing as capable as Simulink and I don’tthink the support for controls is as strong in Python as compared to Matlab.But that’s not my area, just my impression. For the types of things I do, theonly thing I’ve missed are optimization algorithms. The Optimization Toolboxin Matlab is pretty capable and robust. Conversely, the optimization toolsbuilt into scipy are not very good in my opinion. Fortunately, this isremedied through the use of pyOpt and now pyOptSparse.

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