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Go vs JavaScript: What are the differences?
Developers describe Go as "An open source programming language that makes it easy to build simple, reliable, and efficient software". Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language. On the other hand, JavaScript is detailed as "Lightweight, interpreted, object-oriented language with first-class functions". JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
Go and JavaScript belong to "Languages" category of the tech stack.
"High-performance", "Simple, minimal syntax" and "Fun to write" are the key factors why developers consider Go; whereas "Can be used on frontend/backend", "It's everywhere" and "Lots of great frameworks" are the primary reasons why JavaScript is favored.
Go is an open source tool with 60.4K GitHub stars and 8.36K GitHub forks. Here's a link to Go's open source repository on GitHub.
According to the StackShare community, JavaScript has a broader approval, being mentioned in 5080 company stacks & 6471 developers stacks; compared to Go, which is listed in 901 company stacks and 606 developer stacks.
Hello!
I'm a developer for over 9 years, and most of this time I've been working with C# and it is paying my bills until nowadays. But I'm seeking to learn other languages and expand the possibilities for the next years.
Now the question... I know Ruby is far from dead but is it still worth investing time in learning it? Or would be better to take Python, Golang, or even Rust? Or maybe another language.
Thanks in advance.
Hi Caue, I don't think any language is dead in 2022, and we still see a lot of Cobol and Fortran out there, so Ruby is not going to die for sure. However, based on the market, you'll be better off learning Goland and Python. For example, for data science, machine learning, and similar areas, Python is the default language while backend API, services, and other general purpose Goland is becoming the preferred.
I hope this helps.
I feel most productive using go. It has all the features I need and doesn't throw road blocks in your way as you learn. Rust is the most difficult to learn as borrow checking and other features can puzzle a newcomer for days. Python is a logical next step as it has a huge following, many great libraries, and one can find a gig using python in a heartbeat. Ruby isn't awful, it's just not that popular as the others.
Another reason to use python is that it is not compiled. You can muck around in the interpreter until you figure things out. OTOH, that makes it less performant. You really need to think about your use cases, your interest in lower-lever versus high-level coding, and so on.
I enjoy coding in Python. I think it's minimalistic and readable syntax and lang features are just unparalleled. They are perfect for prototyping and for the software engineering in general. If I'm not wrong Gitlab marked Python as #2 popular language after JavaScript. Beyond that, Python ecosystem and areas of usage are enormous. In areas like ML/DL, it's important to know Python to leverage variety of existing tools and frameworks.
Then, I have learned and worked with Golang. I use it where I think I would need a slightly better performance than in Python. Plus, relatively small and self-contained executable is a great thing to have. If you plan to write distributed systems, extend Kubernetes or do similar things I think Golang is a great choice. It's also simple and straightforward, especially when you want to do effective multithreading. Although I don't like that Golang is more low-level than Python. Sometimes I feel like I need to implement myself too much things.
Now, about Rust. It's my second try to learn Rust. First time I decided to learn Golang as I understood it in 30mins or so while I was struggling to compile/do anything meaningful there for quite a bit. So I personally don't think Rust is super easy. I have got back to learning Rust as it's going to fill one of gaps in my problem solving toolkit - let me write low-level system programs (e.g. linux kernel modules). I don't want to learn "obsolete" C/C++ (my reasons are similar to why Google has recently introduced Carbon - a replacement for C/C++ codebases). If you are not going to tight your life with system-like programming, Rust may be an overkill for you.
Finally, I have never coded in Ruby, so are not going to comment it.
Because it opens endless possibilities you can do anything and everything you want to. from ai to app development to web development.
I'm almost same position as you. 8 years same company with c#. I tried both Python and Golang. I like working with Golang. Check this litte go doc. After reading this document and following its examples, I decided to work with "go" https://www.openmymind.net/assets/go/go.pdf
Since you are very experienced, picking up a language will not take you more than a week. Rust is a very new language. Many startups are still experimenting with it. Golang is very popular nowadays. You can see a lot of golang jobs in the market. The best part is, compiled code is single binary and has a minimal footprint. Rails is a compelling framework; believe me, many websites like Shopify, GitHub, GitLab, etc., are powered by the rails framework. You can also leverage the power of metaprogramming in Ruby. Python is memory and CPU intensive. It is not as performant as the other three. If you want to go into Data Science, Python is the language. Good luck, buddy. Feel free to connect with me: https://twitter.com/avirajkhare00
Either Python or Golang, for all the enlightened reasons already mentionned in all advices/comments :) Enjoy!
Hello Devs,
I am planning to implement a ETL test system for checking data quality and business use cases. I am confused on what stack to use. Any advice on the below will be very helpful.
- Any existing frameworks and its source code for help
- Any other stack apart from the mentioned stack (that might be suitable)
- Any ideas for features are welcomed.
- The usage of multiple BE stacks.
If you want to create using Python language, Robot Framework is one very helpful tool to improve your test scripting and we have a lot of methods created by the community. If you want to use Javascript, Cypress in terms of benefits is the better option to create and maintain tests, and run and generate reports in many browsers is really easy with them.
Hello everybody,
I'm Syed, recently graduated from university. I studied C++ as the first programming language and later I have (a little) experience working with C#. I also have a basic understanding of Kotlin, JavaScript and Python. As of today, I am studying Kotlin from https://developer.android.com/.
Please give me some tips about my career. Which language should I choose in today's modern era? Whether I go with Web development or work on Android app development. Thank you for your assistance.
Hi Syed, I wish you all the best. I'm an experienced programmer with more than 15 years of experience. Recently in my company, we were trying to hire a MERN Full-Stack developer and we found many who can code in React but few who were capable of thinking logically and actually able to solve the business problem. Learn any language or package, but keep in mind to learn for a goal. Syntaxes don't matter, we hire to achieve goals. Small to medium companies, usually hire full-stack developers due to the lack of resources. So it would be great to learn the following: For Web, I would suggest "React", and for mobile development, "Flutter" comes in handy with lots of promising future. How about learning both? much better but it's all about you. Good luck!
I intend to use a programming language which I'll use as AWS runtime and write a script that will comb through tons of files in a directory and its subdirectories and search for simple text regular expressions and process and write the matches in a file as output. I have heard that Perl is good for regex based search but I also want the performance to be good as it will have to go through tons of files for IO. In this post: https://filia-aleks.medium.com/aws-lambda-battle-2021-performance-comparison-for-all-languages-c1b441005fd1, I see that Rust works well as AWS Lambda runtime with very good performance. Which one should I choose as my AWS lambda runtime for this problem? Golang is also an option as it is fast as per the above link.
I used to work in a Perl shop and must admit that the language is very simple for tasks like these, but as you mentioned it's not fast at execution time. I'm now a Go programmer professionally but I taught myself the language while in college purely out of interest and eventually found my way to the job, not the other way around. I've recently been learning a little rust because of how much that language comes up in conversations around Go. I find the concept of the borrow checker nice but I have to admit I feel lost like I am in most flavors of new fancy framework js. That's not to say Rust is really anything like js, but the learning appears the same to me as someone who's convinced they could learn just about any programming language if it was necessary (over time I've seen procedural, OOP, declarative and functional stuff but never programming logic outside of the prolog code I wrote in school).
Go isn't made for your specific task at hand but it's a very easy language to pick up and it has good directory traversal standard library code and good regex (even though with time perl's has been optimized to be faster and I think it's written in C++) but more than anything Go is "cloud native" programming in that an awful lot of new microservice tech stacks are centered around it, docker and kubernetes are written in it, and there's a thriving community whose focus is generally web-first and performance-oriented. This means for your use case there might already be a large cohort of gophers that have asked the stackoverflow questions for you
I personally would push you towards the NYT Profiler for Perl before I would towards Rest, but that's because I know you wouldn't waste any time being able to get to the task at hand and then make it go faster, and I expect all but a few rustaceans would be able to do so with the same speed.
Whatever you pick I wish you the very best of luck!
Hello Folks, my first time here, and for requesting advice. I am trying to create some automation from my cloud stack on AWS to something more cloud native. I have containerised the services, however, I am stuck at DB, my Data warehouse, and messaging. Would love some recommendations on how can I automate this for some future work too.
I recommend cloud-init for base setup of machines and configuring them.. Its simple (YAML file) and is industry standard. Even works on bare metal as well as cloud.
Hey everyone, I have a matrix chart drawn in HTML5/CSS 3 dominantly using CSS grid. I would like to add interactive features and am unsure about the best tool. My programming knowledge is limited to 2 semesters of Java in college, so I'd have to learn the language as I go. I am open to anything, but the selected languages would be useful in future projects.
Here are the features I am attempting to add to the site linked as my blog:
Assign over 120 attributes each to over 400 elements (probably in a DB)
Procedurally position elements in a matrix chart based on user-inputted filters (filtering and searching)
Procedurally position matrix elements based on attributes weighted by user-input
Change style of elements based on user input (highlighting)
Allow saving matrix chart states to be revisited or shared
Provide a user-friendly interface for users to submit the above input
Build several columns or matrices that are separate but related and seamless to the viewer
PyCharm + Python + Flask + Jinja2 is enough to build web server/ajax and JavaScript + JQuery (maybe React). You can write small easy application but also extreme high scalable application.
I know Java but it need 4x time more code and code is not clear (too much forced use of @decorators) - too complex and takes more memory :)
Remember if you code in Python it is easy to code in Java but if you code in Java you must understand that Python is much more flexible and powerful - also easier to learn.
There are two main facets to interactivity - whether your frontend (Javacsript, HTML, CSS) is programmed to behave dynamically based on events and on any other preprogrammed behavior, and based on what information your server can send and receive and compute for the benefit of your frontend. For the former (a dynamic frontend) you'll need to use Javascript (or Typescript) in some form. For the latter (a server with custom behavior and data endpoints beyond just sending static HTML etc. files), any of the major languages can serve this purpose. However, if you are going to create a dynamic frontend with Javascript and don't know that language at all, then learning it will be a task in itself, and without knowing a backend language well either (probably the case with only two semesters of one language a while back), you ideally don't want to also have to learn a whole other backend language on top of that. That's where NodeJS comes in. It has essentially the same exact syntax as frontend Javascript (just different native libraries). Since you already need to learn Javascript to make the frontend behave dynamically, if you also want a custom backend, NodeJS will spare you a big learning curve on top of the existing learning curve of learning JS. NodeJS is also highly performant for low-compute high-volume requests, i.e. handling a large barrage of requests if each doesn't require a lot of complicated behavior on the backend. A lot of coding bootcamps teach this, commonly called "full stack JS", for this reason - it allows someone to learn a constellation of full stack web development skills from the mastery of one language syntax. NodeJS + ExpressJS is also one of the easiest backend languages + REST API library to use to build a backend. Look up "NodeJS Express Hello World", and you'll be shocked at how easy it is to build a basic server. As far as frontend frameworks go, if this project is very limited in scope, JQuery could be fine, but I'd highly recommend learning React for something more involved - it will be immensely easier to manage and maintain, and generally lends itself to much better and more intuitive code organization. Its use of components will also be somewhat familiar and intuitive from the object oriented programming you learned through Java. Create React App is great tool to use, especially when first learning React, to avoid all of the finicky nonsense in configuring transpilation etc.
React is hands-down the tool I recommend to add interactivity to your matrix. Because it is Javascript, it will leverage a lot of the formatting from Java. Python would be very foreign to you. React shines in allowing you to use OOP principles within the JavaScript language and it is really powerful, fast and browser friendly.
Use Javascript alongwith HTML CSS and you have complete set of application ready (even for future for PWA or bundled applications).
You can use charts.js library https://www.chartjs.org/ or https://apexcharts.com/javascript-chart-demos/. You can find many examples, you can have a look at https://codepen.io/ksarpotdar/pen/NWyqqZM?editors=0010
Ok. Clearly you forgot the best tool to give for interactive features. JavaScript! In particular I recommend the freeCodeCamp JavaScript course. Here it is.
I am unhappy. When doing my research, I heard Python is useless. Data science is an unworthy field thanks to TensorFlow, and web scraping has also become pointless since the introduction of the PWA. Since PWAs are only frontend, I feel forced to learn JavaScript, and to ditch Python. I love Python with all my mind, it's simplicity, conciseness, and easiness as a tool. Here are a few questions:
- Should I forget Python and move on?
- Are there any PWA alternatives to JavaScript/TypeScript. I've been thinking of using Python for WASM and use HTML+CSS for the DOM to create the PWA. Is this possible?
- Why is JavaScript such a pain in the butt
- What's the point of me learning Python if it's not useful for web development?
You should not ditch or forget Python because of what you hear or because of one particular project. It's probably going to stay relevant and useful for the coming 20 years. If you're a programmer, you should however be prepared to use several tools, and programming languages are just part of the toolbox (like HTML or CSS, but also your IDE, powershell, linux commands, etc.) It's not for nothing that this site is called "stackshare".
Python is great for data science but it's not very performant and eats up loads of resources. I recommend that you give Go a go. It's easy to learn and very fast!
Python is definitely not useless, It has a ton of usecases, with a huge community behind it, but not that performant and consumes lots of resources, I don't think you should abandon it, and PWA is kind a in its early stage, so I doubt that there will be any language better than js for developing it any time soon, so I guess there are no alternatives, but I guess you will like js/ts if you spend a little more time playing with it, and the same goes for wasm it is also in its early stage, and i guess web assembly and rust will be used a lot for that, and lets say you have built a frontend web app , now with the help of python + django or flask you can write server code, and learn a little bit about databases, then bravo you are a full stack dev.
JavaScript is reduced Python. Python is powerful. If Python is not powerful you can mix it with C/C++ - this is not available in JavaScript in easy way. I am programmer and electrical engineer too - I think for research Python is the best thing. JavaScript is better for Web. I code in both very good.
Hey I'm currently an undergraduate in computer science for almost 5 years now, still left with a few courses before I complete. I know that I'm not good at programming but still I choose developer based programming career approach, I have made plans to start my career in websites, etc, for that, I have purchased books related to HTML5, CSS , JavaScript. I'm currently learning HTML5 and CSS only and after this some JavaScript I am really confident in my decision but would love to know what an expert developer advice thanks in advance.
Whatever you do don't go WordPress path. Developers over-there tend to ignore system limitations and hardcode and overengineer their solutions so as to please their clients. If you are a beginner probably you'll get to work on someone else's shitty code and will be asked by your boss to do "yet another impossible thing with Wordpress". And... Probably... You'll do it.
My suggestion is: think in stacks and don't start too low. Starting with HTML, CSS3 and JavaScript is too low. Start on higher levels and with something practical. You'll have time for basics some time later and it would be much easier, because you'll see those technologies are compliment to what you do and not your main objective.
My suggestion for you:
- Android Mobile App Development path (complex enough so you won't get bored)
- All things web3 crypto, nft, virtual reality, blockchain path (has tons of computing web development tasks)
- Cloud computing setup and administration path (good, because you say you're not good at programming)
- Artificial intelligence and automation (this is future, people need this)
I've also found it helpful to think of each stack as a surface (find Google Images "radar chart") . Every time you try to learn something new you start in the center, with all technology-points overlapping. You are as low as you can get and you know nothing. Your job is to expand outwards each technology so as to make a stack-surace. The more surface the better. You'll see that some technological-aspects are easier to expand than others and plan your time accordingly.
Have a good start!
You can also try starting with one of the big marketing agencies. Even if you don't feel like you're ready to start as a web developer (you likely are, though, they hire at all levels) you can start as a content author or similar supporting role until you're more comfortable, then transition into a development role within the same company when you're ready.
I would recommend you to learn these quickly and get on learning a good front-end framework like Vue, ReactJs, Svelte. Pick up real world projects not just learn from books. Always keep learning about the new technologies used to develop things because IT Web development tools and their approach is growing faster than ever, you have got to keep up with those new techs and tools. Final advise, open any job portal, find your targeted job and see what requirements are their.
I don't believe that you are confident about your decision to follow a career path as a developer. This migh be your department's fault and not necessarily yours. Most good developers are already working as developers at that age. Although your current status states that you are an intern you are struggling to find a good starting point. Since you are interested in website developmnet you can start learning programming using a mainstream CMS such as wordpress. Do you know how many companies and self employed guys make their living by customizing wordpess? But if you want to step out of the crowd then seek for junior jobs on a fintech or on a vertical market such as travel or betting. Search for online job oportunities and find out what technologies these guys use then take an online course and start learning the language. Within a month or two apply for a job as a junior and use as reference the online course.
JavaScript is an ever growing technology with lots of opportunities and great depth for both front end and back end development. I would say that JavaScript is a safe bet in terms of furthering your career as a developer in 2022 and beyond. There’s lots of tools and frameworks based on this language that you would have to make decisions on which ones you want to become an expert. I recommend you follow interesting people that you admire to draw inspiration from. Such as Ben Awad or Jeff Delaney. Check this web page recommended to me by the latter on his YouTube channel “Fireship”: https://2021.stateofjs.com/en-US/resources/
this article might help you. Web development is a combination of skills. not only developing skills but also SEO and other stuff. codehub.lk/web-development-skills-you-must-have/
JS + HTML + CSS only tackles the front-end of programming. I suggest you can start to learn by finding an open API related to something you love and then creating a website for it. (E.g. movies, documentaries, music, whatever you are into) Also you can do this dude's tutorials https://www.youtube.com/watch?v=dtKciwk_si4
Later on, when you've already one a few projects, start to learn the backend side of things (database + whatever you want - C#, Python...)
I'm working in a company as a software engineer, Mainly we are focusing on PHP as the product is being developed in PHP (native) also there are a few products in Node.js, I tried to introduce Laravel but there is no luck to work on it. Now I have started learning Go language, should I focus more on Go or continue only with PHP and NodeJS. BTW I know PHP and NodeJS very well.
Be flexible, be agile in your personal and professional life. Don't be afraid to learn new things and step outside of your confort zone BUT with reason. Reason can be a career path or just money. Does Go belongs to your career path? Does Go belongs to your company's toolset? Do yo seek for new job oportunities? Some people follow a complete career path by using a single language i.e, PHP or java, but if you want to standout in the crowd this is not enough. You already know PHP. This is an oportunity to learn something new. In general, I would advise you to learn at least one language & library/framework per stack . This will help you to lead a team someday.
I am about to complete my graduation with a computer science background. I want to pursue my career in software development. My front-end knowledge is very poor. I didn't like PHP so I didn't go for Laravel. My university offers a course on ASP.NET, I liked C# that's why I took asp.net. But now I think .net tech is unnecessarily complicated and most of the job offers available for .net are not for freshers. Should I try js and Node.js now? I mean as a fresher which tech stack should I choose for web development(Backend)?
Just don't .NET
. It was a failed idea from the start. Node and javascript are easier to learn, with much wider adoption, and more active communities.
.NET
is an old experiment in using a markup language to separate the UI from the business logic. The idea was that this would allow a small team of hyper-competent engineers to build the tooling and code for a large team of less-skilled front-end developers to leverage. In practice, leveraging that customized UI markup requires understanding and adjusting the underlying code. The result is that any UI change requires a hyper-competent .NET engineer.
However, many larger companies bought into it a long time ago, and now have a hard dependency on old monolithic .NET ecosystems, and they do need .NET developers to maintain them.
So, you can get a well paying .NET job without much difficulty. However, you'll neither like it, nor be doing anything interesting. There's no growth here, only a very long slow death of .NET (that'll probably take another 20 years).
Node and Javascript are sticking around, and still growing.
What I can see, you are confusing yourself, if you studied .Net now it's better to work as .Net developer, and you will find opportunities as fresh. Just search and don't waste your time. After you get more experience in .Net, then you can learn NodeJS if you still need to learn it.







We have chosen a mix of Java and Python for building an open source data observability tool. The application can work as a standalone command line tool with a rich shell interface (using even command completion). The Java ecosystem is more mature when it comes to connectivity to various databases using JDBC. Also picocli with jline3 let us make a very dynamic shell interface with command completion. The definitions of data quality checks that should be executed are defined in YAML files, backed by a YAML (in fact JSON) schema files. Our YAML files can be edited in Visual Studio Code (and other code editors) with support of the code completion. It is possible because all the data model is defined as pure Java classes for which we are generating a YAML/JSON schema. There is still place for Python because it is very popular in the database space. We are simply starting a Python interpreter in the background (from a Java code). Python is used to evaluate validation rules (defined as Python functions) and render SQL queries from Jinja2 templates.
As we're developing a critical piece of software, type safety is very important to minimize the errors we have. While Python supports type hints nowadays, Go makes it much more easy to work with and allows us to be confident in the software we ship.
Take look at our code in our github
Ever since the introduction of the PWA, I felt forced to learn JS, React, and Angular. I encountered WASM, which compiles Go/Rust to JS. I decided to give go a shot and made a simple weather PWA that tells the weather of various Japanese cities. It was 40x faster than Transcrypt and 0.9x faster than regular JS. Go is even simpler than Python when coming to tools like list comprehension and Pandas.
I’m well aware of the hate that php receives and some of it is well warranted. But the ease of implementation for so many features that I find myself needed on a daily basis is head and shoulders above what I could achieve with JavaScript on my backend. I can do more without the need of frameworks but I still have many options if I want that. Especially with database handling I find many of the complainants about php to be pure rhetoric.
We chose Rust for our web API because the Warp crate makes it easy to compose high-performance and asynchronous APIs. Rust allows us to achieve high development velocity because it provides zero-cost abstractions and enforces strict type and memory-safety checks with high quality and actionable error messages.
Python will be used in order to train machine learning models from our data. We chose python for this task because it is the most common language for machine learning. It has very performant libraries like numpy and scikit-learn that provide functionality for manipulating data and creating models that you cannot get in other languages like JavaScript and Java. Additionally, it is the most familiar language for us to use for machine learning because almost every machine learning course teaches ml using python.
Javascript will be used for both our frontend and backend on the web service. JavaScript is ubiquitous as the language to use for the frontend. For the backend, we decided to create our server using JavaScript because of its easy setup; using Express we can create a server in just a few short lines of code. It is simple not only to run the server locally, but to host it as well because any major service will support the language. JavaScript is a simple language to code in and familiar among our team members, so using it will help speed up development. Using JavaScript allows us to use NodeJS and npm, so we can use packages to easily set up the server, connect to a database and other convenient utilities. We also considered Python for our server. It is also very simple to create a server in Python, especially using flask. However, the extra familiarity with the JavaScript language and the ease of using packages were enough for us to pick JavaScript as our language of choice.
Python: The top language in machine learning area because of the various open-source libraries. Our company will rely on open-source libraries for development as well.
Amazon EC2: Training machine learning model needs to be running on independent 3rd party computing resources. AWS EC2 can provide a variety of virtual computing resources based on what users need.
React+Javascript: React is popular and everyone in the team is familiar with it. React is an open-source JavaScript library that is used for building user interfaces specifically for single-page applications.
ExpressJS: Everyone in the team has used expressJS for development. It can create server-side web applications faster and smarter.
Amazon RDS: relational database service and free to use
Postman: Tool for the team to test API endpoint.
Circle CI: is lightweight and open. Therefore for faster deployment jobs, one can execute their codes on CircleCI as it deploys on scalable and robust cloud servers.
Docker: Easily pack, ship, and run any application as a lightweight, portable, self-sufficient container, which can run virtually anywhere
Github+Git: Julian is from Github so no other choice for us 😎
Slack: Everyone likes it and it's free
Python: Top one language in machine learning area because of the various open source libraries. Our company will rely on the open source libraries for development as well.
Amazon EC2: Training machine learning model needs to be ran on independent 3rd party computing resources. AWS EC2 can provide variety of virtual computing resources based on what users need.
React+Javascript: React is popular and everyone in the team is familiar with it. React is an open-source JavaScript library that is used for building user interfaces specifically for single-page applications.
ExpressJS: Everyone in the team has used expressJS for development. It can create server-side web applications faster and smarter.
Amazon RDS: relational database service and free to use
Postman: Tool for the team to test API end point.
Circle CI: is lightweight and open. Therefore for faster deployment jobs, one can execute their codes on CircleCI as it deploys on scalable and robust cloud servers.
Docker: Easily pack, ship, and run any application as a lightweight, portable, self-sufficient container, which can run virtually anywhere
Github+Git: Julian is from Github so no other choice for us 😎
Slack: Everyone likes it and it's free
2 major challenges for which JS comes as a handy tool, 1st its integration with AWS SDK was at par as Python and .net and the solution comes to hand with the reverse proxy solutions for the application to be running as an instance taking the situation of inside organization demography of resources expertise over the technology.
Pros of Golang
- High-performance537
- Simple, minimal syntax391
- Fun to write358
- Easy concurrency support via goroutines299
- Fast compilation times271
- Goroutines193
- Statically linked binaries that are simple to deploy179
- Simple compile build/run procedures150
- Backed by google136
- Great community134
- Garbage collection built-in52
- Built-in Testing45
- Excellent tools - gofmt, godoc etc43
- Elegant and concise like Python, fast like C39
- Awesome to Develop37
- Used for Docker26
- Flexible interface system25
- Deploy as executable24
- Great concurrency pattern24
- Open-source Integration20
- Fun to write and so many feature out of the box17
- Easy to read17
- Go is God16
- Its Simple and Heavy duty14
- Powerful and simple14
- Easy to deploy14
- Best language for concurrency13
- Concurrency12
- Rich standard library11
- Safe GOTOs11
- Clean code, high performance10
- Easy setup10
- Simplicity, Concurrency, Performance9
- High performance9
- Hassle free deployment8
- Single binary avoids library dependency issues8
- Simple, powerful, and great performance7
- Cross compiling7
- Used by Giants of the industry7
- Gofmt6
- Garbage Collection6
- Very sophisticated syntax5
- Excellent tooling5
- WYSIWYG5
- Keep it simple and stupid4
- Widely used4
- Kubernetes written on Go4
- No generics2
- Operator goto1
Pros of JavaScript
- Can be used on frontend/backend1.6K
- It's everywhere1.5K
- Lots of great frameworks1.2K
- Fast894
- Light weight741
- Flexible424
- You can't get a device today that doesn't run js391
- Non-blocking i/o286
- Ubiquitousness235
- Expressive190
- Extended functionality to web pages54
- Relatively easy language48
- Executed on the client side45
- Relatively fast to the end user29
- Pure Javascript24
- Functional programming20
- Async14
- Its everywhere11
- Full-stack11
- Setup is easy11
- Because I love functions10
- Like it or not, JS is part of the web standard9
- JavaScript is the New PHP9
- Expansive community8
- Can be used in backend, frontend and DB8
- Easy8
- Most Popular Language in the World7
- For the good parts7
- No need to use PHP7
- Future Language of The Web7
- Everyone use it7
- Easy to hire developers7
- Can be used both as frontend and backend as well7
- Supports lambdas and closures6
- Photoshop has 3 JS runtimes built in6
- Powerful6
- Love-hate relationship6
- Popularized Class-Less Architecture & Lambdas6
- Agile, packages simple to use6
- Evolution of C6
- It's fun5
- Its fun and fast5
- Hard not to use5
- 1.6K Can be used on frontend/backend5
- Client side JS uses the visitors CPU to save Server Res5
- It let's me use Babel & Typescript5
- Can be used on frontend/backend/Mobile/create PRO Ui5
- Easy to make something5
- Nice5
- Versitile5
- Scope manipulation4
- Stockholm Syndrome4
- Client processing4
- What to add4
- Clojurescript4
- Function expressions are useful for callbacks4
- Everywhere4
- Promise relationship4
- Only Programming language on browser3
- Because it is so simple and lightweight3
- Tenant0
- Easy to understand0
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Cons of Golang
- You waste time in plumbing code catching errors41
- Verbose25
- Packages and their path dependencies are braindead23
- Dependency management when working on multiple projects15
- Google's documentations aren't beginer friendly15
- Automatic garbage collection overheads10
- Uncommon syntax8
- Type system is lacking (no generics, etc)6
- Collection framework is lacking (list, set, map)3
- Best programming language2
Cons of JavaScript
- A constant moving target, too much churn22
- Horribly inconsistent20
- Javascript is the New PHP15
- No ability to monitor memory utilitization8
- Shows Zero output in case of ANY error7
- Can be ugly6
- Thinks strange results are better than errors6
- No GitHub3
- Slow2