I hope you enjoy. Python is the easiest of the languages to learn, and while the slowest in production, it will teach many of the basic fundamental concepts of programming, especially if you're not going to be doing anything low level or at a system level.
Python is a great language to start programming with, there is an awesome python course on coursera by Dr. Charles Severance called Programming for everybody, check it out :. Go and Python are going to be much easier to learn than Rust. The memory management for Rust is pretty hard to wrap your head around when you are first learning how to do basic things with the language. Get familiar with programming first, then learn Rust. So, I've been working with all 3 languages JavaScript , Python and Rust , I know that all of these languages are important in their own domain but, I haven't took any of it to the point where i could say I'm a pro at any of these languages.
I would start focusing on Javascript because even working with Rust and Python, you're always going to encounter some Javascript for front-ends at least. Then, later, for back-end programming languages, Rust seems like your best bet. Its pros: - it's satisfying to work with after the learning curve - it's got potential to grow big in the next year also with better paying jobs - it's super versatile you can do high-perf system stuff, graphics, ffi, as well as your classic api server It comes with a few cons though: - it's harder to learn expect to put in years - the freelancing options are virtually non-existent and I would expect them to stay limited, as rust is better for long-term software than prototypes.
I suggest you to go with JavaScript. From my perspective JavaScript is the language you should invest your time in. The community of javascript and lots of framework helps developer to build what they want to build in no time whether it a desktop, web, mobile based application or even you can use javascript as a backend as well. There are lot of frameworks you can start learning i suggest you to go with react,vue library both are easy to learn than angular which is a complete framework.
And if you want to go with python as a secondary tool then i suggest you to learn a python framework Flask,Django. Finding the best server-side tool for building a personal information organizer that focuses on performance, simplicity, and scalability. I've picked Node. It really depends on your background and skillset around "get something going fast" for one of these languages. Based on not knowing that I've suggested Node because it can be easier to prototype quickly and built right is performant enough.
The scaffolding provided around Node. It's important to note that the tooling surrounding this is good also, such as tracing, metrics et al important when you're building production ready services. You'll get more scalability and perf from go, but balancing them out I would say that you'll get pretty far with a well built Node. JS service our entire site with over 1. Without knowing the scale you are building for and the systems you are using around it it's hard to say for certain this is the right route.
So i decided to go the Erlang way after alot of Thinking so Do you think i made the right decision? Am 19 year programmer so i assume am not experienced as you so your answer or comment would really valuable to me. I am working in the domain of big data and machine learning.
I am helping companies with bringing their machine learning models to the production. This yields to longer time to market and a lot of mistakes due to necessity to understand and re-write the code. Simply, refactoring if necessary and organising the code of the data scientists by following best practices of software development is less error prone and faster comparing to re-write in Scala.
I have heard some arguments against Python such as, it is slow, or it is hard to maintain due to its dynamically typed language. ML pipelines rarerly contains a lot of code if that is not the case, such as complex domain and significant amount of code, then scala would be a better fit. In terms of performance, I did not see any issues with Python. It is not the fastest runtime around but ML applications are rarely time-critical majority of them is batch based.
I still prefer Scala for developing APIs and for applications where the domain contains complex logic. Go and Rust over Python: No need to worry about which Python interpreter version is installed on the users' machines. We have a lot of experience in JavaScript, writing our services in NodeJS allows developers to transition to the back end without any friction, without having to learn a new language. There is also the option to write services in TypeScript, which adds an expressive type layer.
The semi-shared ecosystem between front and back end is nice as well, though specifically NodeJS libraries sometimes suffer in quality, compared to other major languages. As for why we didn't pick the other languages, most of it comes down to "personal preference" and historically grown code bases, but let's do some post-hoc deduction:.
Go is a practical choice, reasonably easy to learn, but until we find performance issues with our NodeJS stack, there is simply no reason to switch. The benefits of using NodeJS so far outweigh those of picking Go. This might change in the future. PHP is a language we're still using in big parts of our system, and are still sometimes writing new code in.
Modern PHP has fixed some of its issues, and probably has the fastest development cycle time, but it suffers around modelling complex asynchronous tasks, and on a personal note lack of support for writing in a functional style. We don't use Python, Elixir or Ruby, mostly because of personal preference and for historic reasons. Rust, though I personally love and use it in my projects, would require us to specifically hire for that, as the learning curve is quite steep. In other words, we are not willing to pay the price for playing this innovation card.
Haskell, as with Rust, I personally adore, but is simply too esoteric for us. There are problem domains where it shines, ours is not one of them. I chose Golang as a language to write Tango because it's super easy to get started with.
I also considered Rust, but learning curve of it is much higher than in Golang. I felt like I would need to spend an endless amount of time to even get the hello world app working in Rust.
While easy to learn, Golang still shows good performance, multithreading out of the box and fun to implement. I also could choose PHP and create a phar-based tool, but I was not sure that it would be a good choice as I want to scale to be able to process Gbs of access log data. The three options of languages were most suitable for the job - Python, Java, Scala.
The winner was Python for the top of the class, high-performance data analysis libraries NumPy, Pandas written in C, quick learning curve, quick prototyping allowance, and a great connection with other future tools for machine learning as Tensorflow. Integrate with Lighstep. Follow I use this. Advice on Erlang, Rust, and Scala. Needs advice. Which language should I choose? I use Rust and Java and if you need a compiled language I recommend Rust.
I would go with Kotlin. It is pretty hyped currently. You can use Kotlin for a lot of application types. Senior Software Engineer at rapatao. I'd definitely start with Go. I know Python, Go and quite a few other languages.
Rust is not easy to learn as a beginner. What do I put here? Later on if you wish to learn Rust and Go, please do by all means. Everything you can do in Elixir, you can do in Erlang as well, and it is possible to call both languages from each other.
If the last is true, I would actually point your way towards Elixir. While both languages are great to use, Elixir is the one that seems to be more popular lately.
It will give you more job opportunities and will be easier to learn. Afterward, you can learn Erlang and what makes it tick. Knowing how Erlang functions underneath Elixir will help you write better Elixir code and make you more likely to get hired as an Elixir developer. Your browser seems to have problems showing our website properly so it's switched to a simplified version. Article by Gints Dreimanis.
What is Erlang, and where is it used? Get new articles via email. Accept Privacy notice. Introduction to Erlang. More from Serokell. In a couple of years, Intel will give us 32 cores , and there are trends that suggests that will have thousands of cores before we know it. But each core will be very slow compared to todays cores.
One obvious way to solve the problem is to write and rewrite software to be concurrent. The most common way to do that is to use threads, but most developers consider thread-based applications particularly hard to write. Deadlocks, starvation and race conditions are concepts that are way too familiar for a majority of developers doing concurrency.
Both Erlang and Scala take away a lot of that pain. Scala is sometimes seen as the next big JVM language. It combines the object-oriented paradigm with the functional paradigm, has a terse syntax compared to Java, is statically typed and is as fast or sometimes even faster than Java.
There are numerous reasons to take a serious look at Scala. Erlang is a language designed for robustness, but because of its design, it is thereby a language that scales well. It predates Java, but it is often considered to be a language of the concurrent future.
It is a dynamically typed, functional language, with some remarkable examples of uptime. Erlang debate all about? In the end, performance and scalability, but the debate includes other things like style, language features and library support as well.
Steve Vinoski and Ted then had a couple of rounds of debate, but the discussion then moved to a couple of other blogs where it highlighted interesting differences and similarities between Scala and Erlang. Steve is talking about the problem that even if a language itself is reliable, everything it stands upon has to be reliable too. Scala on the other hand lives on top of the JVM and one of the most important selling points is the potential usage of all existing Java code.
However, a lot of Java code is not designed for concurrency, and Scala code needs to take this into account. To run massively concurrent applications, you need a lot of parallel execution.
This can be done in several ways. Using threads is one common way, using processes is another. The difference is that a thread shares memory with other threads, processes share nothing. Erlang takes this approach to concurrency.
An Erlang process is very lightweight, and Erlang applications commonly have tens-of thousands of threads or more. Scala on the other hand does the same thing with event-based actors.
Yariv Sadan explains how:. Scala has two types of Actors: thread-based and event based. Thread based actors execute in heavyweight OS threads. Event-based actors are simple objects. They are very lightweight, and, like Erlang processes, you can spawn millions of them on a modern machine. The difference with Erlang processes is that within each OS thread, event based actors execute sequentially without preemptive scheduling.
This makes it possible for an event-based actor to block its OS thread for a long period of time perhaps indefinitely. Erlang is a functional language. Any operation on some data will result in a new modified version of that data, but the old one stays the same. Immutability is a highly regarded ingredient when it comes to robustness, since no code can unintentionally change data that someone else is dependent upon, but from a concurrency point of view, it is also an important feature.
Since Scala is based upon the JVM and combines an object-oriented and functional approach, there are no guarantees of immutability like in pure functional languages. David, who is the creator of the Scala web framework Lift , gives his views on immutability. You just define your case classes the messages to be immutable and away you go.
Erlang is dynamically typed. Scala is statically typed and has a stronger type system than Java. However, a big difference compared to Java is that Scala has type inference. This means that you can omit a lot of type annotations, which makes the code cleaner but the compiler will still do all checks. The debate about pros and cons of dynamic and static type systems will likely never come to an end, but that is a noticeable difference between Erlang and Scala.
Functional programming and recursion go hand-in-hand. This is definitely something that differs Erlang a lot from Scala. Since Erlang was designed for reliability, hot swapping code replacing code in runtime is built in.
The JVM has some support for hot swapping code. Classes can be changed, but due to the static type system, method signatures can not be changed - only the content of a method. There are third party tools to get around that , and there are frameworks that promotes a programming style that makes it easier to swap classes in running systems, but because of how a Scala Actor is built up, how swapping works even though it runs on the JVM.
Both Scala and Erlang are languages that target the multi-core crises. They come from different background and eras and thereby approach some problems differently, but in many ways they have more in common than they differ, at least when it comes to the concurrency issues.
Erlang has been around for a couple of decades, and has proved itself in many critical real-world systems. Scala on the other hand is the new kid on the block for the same type of applications. There are real world applications just coming out the door, and there are companies that are betting their future on it.
Hopefully you have a slightly better insight about which language to take a closer look at for your particular situation after reading this debate summary. Uncover emerging trends and practices from domain experts. Attend in-person QCon London April , Join a community of over , senior developers. View an example. You need to Register an InfoQ account or Login or login to post comments.
But there's so much more behind being registered. Your message is awaiting moderation. Thank you for participating in the discussion. The Erlang runtime "only" supports two simultaneous versions of a module: the current and the old; as soon as you update again the current becomes the old and the previous old is expunged. Thread-based actors are actors which each run in their own JVM thread. They are scheduled by the Java thread scheduler, which uses a preemptive priority-based scheduler.
When the actor enters a receive block, the thread is blocked until messages arrive. There is an important drawback to this method: each thread can be considered as being heavy-weight and uses a certain amount of memory and imposes some scheduling overhead. When large amounts of actors are started, the virtual machine might run out of memory or it might perform suboptimal due to large scheduling overhead.
In situations where this is unacceptable, event-based actors can be used. Event-based actors provide a more light-weight alternative, allowing for very large numbers of concurrently running actors.
However, they should not be used for parallelism: since all actors execute on the same thread, there is no scheduling fairness. Since Erlang was designed for reliability, hot swapping code replacing code in runtime is built in. The JVM has some support for hot swapping code.
0コメント