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Hack vs Python vs Rust: What are the differences?
Introduction: Exploring the key differences between Hack, Python, and Rust can provide insights into their unique characteristics and functionalities when it comes to programming languages.
Type System: Hack is a statically typed language with gradual typing, where Python is dynamically typed, and Rust offers a strong static type system preventing null pointer dereferencing and buffer overflows.
Memory Management: Rust employs a unique ownership system for memory management, ensuring safety without a garbage collector, unlike Python, which relies on garbage collection. Hack also follows the garbage collection approach for memory management.
Concurrency: Rust provides built-in support for safe concurrency through ownership and borrowing rules, while Python has a Global Interpreter Lock (GIL) that limits multi-threading efficiency. Hack offers concurrency support similar to PHP with asynchronous programming abilities.
Performance: Rust is known for its exceptional performance due to low-level control and zero-cost abstractions, outperforming both Hack and Python in terms of speed. Python is interpreted, making it slower compared to Rust and statically typed Hack.
Usage: Hack is primarily used at Facebook for their web development needs, Python has widespread usage across various domains including data science, web development, and automation, while Rust is gaining popularity for systems programming, embedded systems, and high-performance applications.
Syntax: Rust's syntax is heavily influenced by C and focuses on safety and performance, Python promotes readability with its clear and concise syntax, and Hack combines elements of PHP and Hack in its syntax for static typing alongside dynamic typing.
In Summary, understanding the key differences between Hack, Python, and Rust can provide valuable insights into their unique features, including type system, memory management, concurrency, performance, usage, and syntax.
Hi! I'm currently studying Flutter for mobile apps, but I also have a demand to automate some tasks on the web and create backends' for my apps, so thinking about which one of those could be better? Considering the performance and how easy it's to learn and create stuff? (I'm already familiar with .NET stack but want something more "simple" to write)
Definitely Python. Lots of libraries, dead simple syntax. Lots of code examples and reference projects. Elixir is pure functional and takes time to grasp the concepts. Go is great, with simple syntax and performant runtime, but more strict as it is statically typed. For quick coding, nothing beats Python. As you come from .net I’d consider similar approach and be considering Java with SpringBoot as it makes Java faster and much more fun to code web servers
Elixir really has a good performance for the web (and in general). Its framework Phoenix for the web is a great tool, easy to install and to use, with features for websockets (and Pub/Sub) or LiveView to write reactive and real time app with only HTML (and Elixir) so basically everything is in one place
It can take some time to learn a few things in Elixir but I really think it's worth it, and it's very easy to go distributed and concurrent with Elixir. Also it's easier to code quickly with some features like the pattern matching or some operators like the pipe or the capture one
And in the case you need it you can still connect and interface Python and Elixir pretty quickly, and now Elixir has a lot of different frameworks : web, embedded or even neural networks now
Never went far with Go but I have some trouble with its syntax, I find it a bit messy
I don't have a lot of experience with the web with Python but I don't have a good experience with the little I did
Judging your previous experience we will benefit from Golang in terms of portability and speed. If you want to go simplier use Python. If it's only scripts use Python.
Hey Vitor, You can use Node and Express JS to create a backend for your app. You can create REST APIS to connect your front end with the backend. It is a very simple and scalable solution for building backend web apps.
I'm making my university community web service with a team. (6 members myself included)
And we decided to use JavaScript, HTML, CSS (for sure, it's the basic of websites) but couldn't decide for the back end part.
There are tons of languages, tools, etc., but I'm really new to programming, so I'd like to get some help to figure out what tools we need.
So my question is this: are there any good examples of web community services we can mimic the tools or get an insight from them?
Since you're following Python, I would recomend using Django as your main back-end language. If you know Python it would be a great experience. Django is well documented on their official website: https://www.djangoproject.com/ I would also use React for front-end as well. Also this article is worth reading, I think progressive web app is something worth learning these days: https://web.dev/progressive-web-apps/ Hope that helps :)
Since your team is already using JavaScript, there's a great number of examples for backend services written with NodeJS. I'd recommend using Firebase, or any backend as a service (you can use that term to find alternatives), for setting up your backend as it is much easier for newer people to understand and lets you focus on your core application logic, and not provisioning servers, databases, etc.
Since you're team is already using JavaScript, there are alot of examples and open source projects written with NodeJs, so I preffer this language in your backend application and also I am recommended using Mongo DB with It for saving data in it, and also for your frontend application I am recommanded using VueJs.
Since you are already using JavaScript on the front end it would be easy to adopt the MERN (MongoDB, Express, React, NodeJS) stack which s all javascript based making it easy to transfer knowledge with the backend and front end
Kindly I don't find any help that solve this mystery I need more help if it will happen
Make it simple, most of projects doesnt need a AI, ML or big algorithms. If your project just serving end users take it to the web ready compatible. (Javascript, .Net, PHP Laravel)
Hello, I am interested in learning how to program. I am a beginner, and many articles saying I should go with Python if I am new to programming. I considered Lua a long time ago, but for my career, I believe major programming languages should be better for me. I'm considering Python at this moment, but if you have other tools I should use, let me know.
Although Lua is a very simple,efficient, elegant and welcoming language, Python is extremely versatile. Therefore, if you want to get into programming without a defined direction, Python is the way to go. It has a lot of libraries, the ability to do anything and it is closer to other languages than Lua is (yeah I know about Lua and C, but from a learner's point of view, it makes sense). Additionally, Python will be a marketable skill, but I for one have not yet seen job offers for Lua devs.
The language you choose is also dependant on the type of career / area of programming you wish to focus on: Web Based and mobile applicaitons I would lean towards Java, PC Applications I tend to like C#, Embedded industry C, C++
my advice , you should answer me for this question, what do you like to work: web base or mobile native or cross platform. if you like web base you should choose PHP or ASP.net or Node.js or if you like mobile native you should decide Android or IOS platform and else if you like cross platfrom you should learn Flutter with dart language. thanks
Hey, 👋
My name is Brayden. I’m currently a Frontend React Developer, striving to move into Fullstack so I can expand my knowledge.
For my main backend language, I am deciding between Python, Rust, and Go. I’ve tried each of them out for about an hour and currently, I like Python and Rust the most. However, I’m not sure if I’m missing out on something!
If anyone has advice on these technologies, I’d love to hear it!
Thanks.
Rust is still in low demand. It's a great language but you'll have a hard time finding jobs. Go is the mix of both Rust and Python. Great language with modern features, fast, scalable, fun to write, and at the same time it has high demand (not as much as python).
Python on the other hand is a language that you can't go wrong with. Look around you and see what your job market prefers. If there isn't much difference to you personally, pick the one with more demand.
All of these are solid options, however considering your expertise currently, I would probably suggest Node.JS considering your past experience with JS. However Python offers a similar development environment to JS in my opinion, and Go is a good sort of intermediate between Rust and Node.JS and Python. It's fast, but not as fast as Rust, and offers a development experience that combines C-styled languages (like Rust), and Python-y languages... So: Rust for the fastest, Node for familiarity, Python for ease of development, and Go for a good middle ground. I have used all in personal projects... If you use Go, I suggest a easy to use web server framework like Fiber.
Rust is a challenging choice, but worth to be chosen. It has strong memory-safety and type-safety, this gives you no bother about those errors. However, static typing languages often slow our developing speed down in early stage. In that case, it's effective to write prototype in an easy language like Python, and rewrite it in a hard language. It's important not to be afraid to throw away first code you write.
The other answers are excellent, but I want to be a bit of a contrarian and say you should learn Rust. While the number of jobs for it are (relatively) low(er), it is certainly expanding and you'd be surprised at which companies do use Rust (Discord, for example, is starting to move away from Golang to Rust!).
But the main reason is that learning Rust itself will teach you a lot about systems design (/backend) because of its borrow checker. You can try out a lot of ideas and make a lot mistakes and the borrow checker will always be there guide you to a better solution (thereby teaching you in the process).
Also, I wouldn't underestimated how important managing memory (and memory safety) is. While Golang is great in some ways, it doesn't protect you from pushing memory leaks into production. And eventually you'll come upon a scenario where you'll have to make your Python code run faster and the optimizations you'd have to do won't look pretty (or be very Pythontic).
And Rust is freakin fast! If you have Rust, you wouldn't need any other language for the backend (or any other systems level code). Check this blog post: https://blog.discord.com/why-discord-is-switching-from-go-to-rust-a190bbca2b1f?gi=dd8bc5d669d. Discord found that even after spending months optimizing Golang code it still wasn't fast enough. But unoptimized, first-draft Rust code was (is) faster by an order of magnitude!
Hi
I want to build a tool to check asset availability (video, images, etc.) from third-party vendors. These vendors have APIs. However, this process should run daily basis and update the database with the status. This is a kind of separate process. I need to know what will be the good approach and technology for this?
hi - I think this depends on how you want to provide the information to the user. If you want to build a Wordpress-plugin: PHP If you want to build your own website: Python+Django / PHP / JavaScript+Node.js As Desktop application?
for what technologies you should use, this is depend on what technology do you prefer? your should think best structuing for your code because each API vendor has different to a nother one so it's better no merege code vendores together. your code must be using SOLID principle pattern and some design pattern such as Factory Pattern
The major advantage of Go is that you can run queries in parallel. Fire off a Go thread for each vendor and each thread can check the availability of assets from a specific vendor and update the database. Go supports hundreds of threads with ease.
your decision depend on what language do you know. if you know php you can use laravel framework
Hi, I would recommend Go because of strongly-typed nature which makes a developer more productive as it is less error prone compared to the other dynamic-typed language. Go also has cron-job library(powered by goroutines) that can help with your automated tasks.
I was thinking about adding a new technology to my current stack (Ruby and JavaScript). But, I want a compiled language, mainly for speed and scalability reasons compared to interpreted languages. I have tried each one (Rust, Java, and Kotlin). I loved them, and I don't know which one can offer me more opportunities for the future (I'm in my first year of software engineering at university).
Which language should I choose?
I will highly recommend Kotlin. I have worked with all three intensely and so far the development speed and simplicity is the best with Kotlin. Kotlin supports coroutines out of the box. Now, it isn't something that can't be implemented in other languages but Kotlin makes it super easy to work with them. Kotlin has a bit of learning curve, so, by the time you can actually use it idiomatically chances are that you will get proficient in Java too. But once you get it, you get it, then there is no other language ;) Kotlin is backed by Google and Jetbrains team so you can expect latest programming features and good community support.
If you want a compiled language then go for Rust. It takes a certain mindset to get your head around its memory management system and the way it handles "borrowed" memory. However, it will generate blindingly fast code that you can cross-compile for other platforms. As a systems programming language I highly recommend it. Take time and learn it.
Java is only compiled to bytecode, not to machine code. So it executes in the Java Virtual Machine. DOn't think that its not fast, because the latest incarnation are very fast indeed. For most practical purposes, users of your code won't notice any difference. There are a heck of a lot of features in Java that you either have to import via crates in Rust, or write yoursef. So productivity-wise, Java may well beat Rust.
Kotlin is a Java-lookalike. It's a nice, and succinct version of Java and is totally interoperable. But its a bit niche, and for me it fails because my dev environment of choice (Spring Tool Suite) doesn't really play well with Kotlin. To use it you would be well advised to use iDeaj. I have used kotlin, and I like it, but not enough to ditch all my Java code.
Other contenders, depending on your platform of choice are Golang, C, C++, and C# (available as Mono on Linux systems).
I use Rust and Java and if you need a compiled language I recommend Rust.
I'd say Rust's knowledge will be more valuable in comparison. You can work in Blockchain development, compile to WASM (WebAssembly). There is a new JavaScript/TypeScript runtime named Deno (by the creator of Node.js) that has its backend in Rust.
As you certainly know, there are languages that compile in meta-code for Virtual Machines (Java, C#, Kotlin) and languages that compile in Machine Language (Go, Rust). Apart specific domains (blockchain, IoT embedded software, AI, cloud) almost no-one uses languages that compile in machine language, for a series of reason, most of all security and portability. So, if you are going to learn for business go with Kotlin - Java is a bit ancien regime. If you seriously need to learn a language that compiles in ML - for example you will code for IoT - go with Go - or Rust - but keep in mind that Rust is much less used than Go. PS: Kotlin also compiles in ML, but I would choose a language designed for that, instead of one that compiles "also" in ML. PPS: Some Virtual Machines - ie: GraalVM - allow you to compile Java in ML. The world of IT is beautiful.
It depends on which level and use cases you prefer to work at. Close to the machine? Rust is great but if you need to find more job opportunities, then take C/C++. Java has many job positions but I suggest Kotlin over it. Think about it as a better Java, but fewer job positions. Do you want to do your own projects? So a productive language like Ruby is way better. Like to program front-end apps? Take JS. Find your passion.
All those are nice languages, but Rust is harder to learn properly and has a smaller ecosystem. If you want to work in system programming (like hardware drivers) Rust is probably your choice. Otherwise, Java/Kotlin ecosystem is much larger and gives much more possibilities (maybe excluding low-level system programming).
When talking about Kotlin and Java, both are good. But Kotlin, again, gives much more opportunities. Kotlin-JS gives you browser applications, Kotlin-Native allows to compile to native application (and interop with them). Kotlin-WASM will be available shortly. Rust is better than Kotlin-Native for native development tight now, but not by far and it makes sense only if you are focusing only on native development.
I'd recommend you to take a look at Java and Kotlin, the first due to the number of companies that actively use it in your products. Kotlin is gaining adept since it is fully compatibly with the Java ecosystem but usually requires less code to do the same (ignoring other benefits of the language). Another benefits of the Kotlin is that it is in fact multiplatform, where you could use the same syntax to code for mobile, web and backend applications. The drawback of Kotlin, is the number of open jobs that exists currently compared to Java, but I pretty sure that it will change in the near future.
I would go with Kotlin. It is pretty hyped currently.
You can use Kotlin for a lot of application types. To name some:
- Kotlin Multiplatform with Gradle
- Ktor (https://ktor.io)
- Spring Boot
- Kotlin JS (as you already know Javascript, you might like this one)
The code is also really concise, readable and modern. It also provides many features that you will find in many other programming languages.
I am technical support. I work daily with Windows Server / Exchange, Active directory. I would like to learn scripting and automation to make my life easier. I just started learning PowerShell but not really sure about the correct study path from where I can start. I am taking some courses on Udemy and YouTube. Is it enough?
My first foray into programming was with powershell and it continues to be an enormous help for me in my career (caveat being that I have primarily worked on windows boxes). That being said, PowerShell is a weird language that has some unique syntax and operators that don't translate well to other languages. Python is weird too, but for other reasons (spacing!). I suspect you'll get more immediate benefit spending some time on Powershell since your working in an environment that fully supports the ps toolset.
As for learning, I read "PowerShell Toolmaking in a Month of Lunches" and found that helpful. However, I think your course of study is sufficient. Think the most return for the effort was just messing around in the powershell IDE on my local computer and working the Microsoft documentation.
Taking courses on Udemy and YouTube will be helpful I'm sure, but don't neglect the power of practice. If you work largely with Windows right now, pick powershell. Take opportunities to convert the knowledge you already have (example: unlocking an account in Active Directory or adding an email alias in Exchange) from a manual process to a powershell method. Sometimes that's a single cmdlet (Unlock-AdAccount) and sometimes it's a script.
Once you have a good understanding of variables, the pipeline, and foreach loops, you'll be in a position to accelerate your learning. Looking up Microsoft docs is part of the process :)
I would consider reading "Powershell for sysadmins" from No Starch Press. Start small with the ActiveDirectory and AzureAd modules. Start with read only operations like pulling AD Group Members into a variable and then pipe that variable into a .csv file with Export-CSV cmdlet. Once you feel more comfortable with the syntax, specific cmdlets, and piping data start looking at specific techniques like using hashtables (dictionaries) and globbing. From there you can begin to construct your own functions and modules. Just start small and don't let yourself get overwhelmed.
I am a beginner, and I am totally confused, which of these 3 languages to learn first. Go, Rust, or Python. As my studies are going which of them will be easy to learn with studies that is, I can learn and do my studies also. Which one of them will be easily handled with my studies, and will be much much useful in future?
Python is a great language to learn as a beginner. However, Go is really easy to learn as well and has a much more powerful standard library that will allow you to build very complex and powerful applications in the future. Go is becoming a standard in Cloud computing and concurrency. Both of which are very advanced but important.
I have experience in all three languages, and you should learn python first. These are three different languages (read: tools) to solve different problems you may have. Python is a high level language you can use for writing cross-platform scripts, web servers, AI, websites (e.g. Django) and the list goes on. Python can be used for most programming tasks while being the easiest to learn of the three and probably the most productive as well.
A lot of tech companies start out with Python for their web services, but due to Pythons slow speed and the pain that comes with dynamically typed languages when the code base grows, switch to Go later on when they need to scale. Go is a systems language that thrives when used for high performance cloud/web or networking services. Go is used in performance critical networking situations such as Twitch's streaming services and Uber's geofence services. It's also very clean and simple syntax that makes it very easy to quickly understand what code does.
Python is an interpreted language and Go is a garbage collected language, but Rust is a highly performant and reliable compiled programming language without the extra baggage of runtime memory management. Rust forces you to follow coding patterns that assure memory safety. This makes Rust a perfect fit for high performance algorithms, game engines or safety-critical systems, but would be overkill for web servers or scripts on modern hardware.
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.
Python has way too many features to be called "easy" to learn. While it is very forgiving to beginner mistakes it feels like playing in a puddle of mud. It does not teach you clean programming at all. Unless of course you like messy.
Go on the other hand is very easy to learn. As a professional you can learn the entire language in under 2 hours. I have already given the tour of Go (https://tour.golang.org/) to complete beginners and they went through it very thoroughly and thereby knew the entire Go language in less than 5 days. While it is very easy to learn and very easy to read, it is quite strict on other things, guiding you to write clean code. For one it is a typed language and it is good to learn very early about types.
Knowing the entire language is of course not all there is to know. There is the standard library and a lot of other libraries to get to know in every language. Also one has to learn patterns in every language, get experience on how to structure code, dig deeper into the language itself to understand its inner workings, etc. That takes years in every language.
That being said, it depends very much on what you want to do with a language. If you want to go into ML and science you definitely need Python. If you want to go into cloud computing, distributed servers (which in my opinion any server should be nowadays), use Go. If you want to do systems level programming, e.g in hardware programming, use Rust.
If all you want is a gentle intro and have access to tools and libs that can help with your tasks, Python is the way to go. It's ecosystem is huge and the language is easy to pick up. However, if you are aiming to get into software industry, I'd highly recommend you also pick up another classic language like C++/C#/Java. It really helps you cement some CS & programming fundamentals and get more familiar with the concept of software design and software architecture. Not saying you cannot achieve good architecture in Python or Go, but traditionally you have more materials covering these classic OOP languages. And once you learn them, you can apply your knowledge to other languages and it helps you understand other languages faster.
Rust is probably a bad choice for starting out. It is a low level language where garbage collection is not done automatically, and has to get you thinking about all the technical aspects. It is statically typed and compiled, so it's very strict with how you code. I do love Rust though, it's a nice language. Golang is also compiled and statically typed, but it aims to be for quick development, which makes it a better choice for starting out.
Python though can be great for starting out and getting a hold on how to program. You don't need to worry about things such as types, garbage collection, or an overwhelming amount of data types. Since I'm a JavaScript fanboy I can't help but say another great popular choice to start is JavaScript 😁
Python has the broadest reach as it's been around the longest; rust is much more difficult for a beginner to learn; I work with Go every day and it's probably the most productive general use language.
If you start learning programming I'd suggest Python language. I have no experience with Go and Rust so I cannot give you advice for them.
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.
I agree with most of the other answers here. Python is the best choice because it is super user-friendly, has an easy syntax, and can do many complex things in relatively fewer lines.
While Rust is a more recent and a great language nonetheless, it is slightly more complicated as it involves compiling and the syntax isn't so great.
And Go is the not a great choice either. While it has a decent syntax, keep in mind that Go won't be of much use unless you plan on working in Google. Even if you want to learn it, you can do so later.
I hope this helped you in making your decision, and welcome to the world of programming! I hope you enjoy.
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 :)
Python, because its the easiest to learn as a beginer. Its often called "English without grammar" because its terms and writing style is quite similar to English. Python also has a diverse range of applications like Web App, Desktop App, Data Science etc
Learn/start with C; don't rush after buzz words. Python is easy to learn but you would not get the underpinnings of memory and pointers, an important aspect of programming.
I'd choose python because with a good knowledge of python and it's libraries, you could do literally anything. Also it has a relatively simple structure, so it won't be tough for a beginner.
Later on if you wish to learn Rust and Go, please do by all means.
Python is the best programming language for starting out as it is quite easy to learn, but it also is very powerful and you can do plenty with it. It will be useful for a long time. Python is my recommendation.
Study, machine learning = Python | High performance computing, safety-oriented programming = Rust | Backend, feel productive with less runtime performance drawback = Go
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.
Hi all, I have been working on the development and automation of construction software using C# and Python. Recently I have started working on Django python web framework and basic frontend for web development. I am really confused to choose between C# and Python to move forward in my career. Seeking your advice on these technologies and their future market value from a career perspective. Thanks,
In my opinion, a modern developer should have deep knowledge about Object Oriented (OOP) and Functional Programming (FP). The programming language is something that must come later. Any good programmer should be able to switch from one programming language to another easily, if they follow OOP and FP. There are languages, though, that must absolutely be in the portfolio of a modern developer: Java, C#, Python and JavaScript. But be prepared to know also Scala, Kotlin, Swift, Go, Ruby, Rust and TypeScript.
It depends on your preferred career path, if you want to work in start-up/scale-up environments, you probably want to go with a language like Django for the rapid development (fast to production). On the other hand, C# or Java would be better for building long term and large scaled applications, although, Django could certainly achieve this as well. I also want to second that it won't hurt to know both languages, pick your technologies wisely according to the use case, don't stick to a single technology stack. :)
C# and Python are both great languages. With great communities, libraries, frameworks, opportunities. I think it will be the same in a near future.
It’s matter of your likes, and your next jobs.
Dot net core is a little faster on performance. Python more popular with dynamic types. Probably the most lovable language.
Hi, I'm just starting to learn code, and I stumbled upon this website. I think I should learn JavaScript, Python, and C++ to begin with. I'm a quick learner so I am only worried about what would be more useful. Suppose my goal is to build an online clothing store or something. Then what languages would be best? I need advice. Please help me out. I'm 13 and just beginning and it's hard to understand when people use technical terms so please keep it simple. Thanks a lot.
Go with Python. It's syntax is really simple and less verbose compare to others. You can use Python for basically anything like web dev, task automation, data science, data engineering, cybersecurity etc. At initial level, it's more important to get an understanding of programming fundamentals. Once you get conformable with coding in general, then you can explore other languages.
I would worry less about languages when you're first starting out. If you want to build an online store, then javascript is a great language that is used all over the web! Get comfortable with your first language, learn some computer science concepts and how to build things the right way, and then just work towards a goal and learn as you go!
https://www.w3schools.com/ is a great resource and it's completely free, everything you need to know to build a website is on that page if you have the drive to learn it. Best of luck to you!
Here's a neat roadmap too, in case you find yourself lost on what to learn next https://roadmap.sh/frontend
I recommend JavaScript to build your first website, for both FrontEnd and BackEnd , even tho I am a BIG fan of C++ it is not well suited yet to create websites, and Python would be just as good for the BackEnd as JavaScript but having everything written in only one language will make your learning curve way easier, so it is easy to recommend JavaScript.
Python is an easy and beginner-friendly language. As you've mentioned about Online Clothing store, you'll need to deal with the website part and you'll need Javascript to make the site accessible and functional. Javascript will be more easy to learn if you learn Python first, so you can just start with Python.
Hello Rachel, as a fellow programmer, I am glad that you are planning on expanding your coding knowledge and skills.
I recommend learning python first as it has a very simple syntax (syntax is how your code looks and how simple it is to type) and is also very user-friendly. Once you get to know how to code in python, you can use this thing called Flask.
Flask is what you call a "web application framework" or a WAF, it basically is a tool used to develop websites and other similar things. You don't have to worry much about it's difficulty because it is based on python. You will still have to learn how to use Flask though as it could be a bit complicating in first glance.If you are looking for simpler ways for making website without having to learn a lot of programming, you can learn HTML and CSS. These 2 will help you in making a basic and functional website. The catch is, from a career perspective, HTML won't get you far, as literally every programmer knows it. So it is best to use programming languages.
I hope this gave you a clear understanding of the ways in which you can build websites. Wishing you the best of luck!
I have worked with all these a ton. I make ecommerce and enterprise apps now. The only one of these you need is JavaScript. You can use JS on the backend as Node.js in AWS Lambda. You will need HTML and CSS skills, as well as a database. I recommend MongoDB. Please forget about C++ until you built your first company. Python fits the same purpose as Node.js but is currently popular in the Data Science community so skip it until you have a LOT of customers.
Since you're new, I'd recommend Javascript and Python. With Javascript, just learn React and Node. And with Python, learn Django. With JavaScript, Node, React, Python, and Django; you can accomplish quite a lot for both frontend and backend.
Hi, When saying that "Suppose my goal is to build an online clothing store or something", I would go for a ready to use platform like Wordpress. it will give you a fast jump into the online world. By using WP you'll have to catch on with PHP\JQuery Goodluck.. Ping me when store is ready, I might buy something....
I had a goal to create the simplest accounting software for Mac and Windows to help small businesses in Canada.
This led me to a long 2 years of exploration of the best language that could provide these features:
- Great overall productivity
- International wide-spread usage for long-term sustainability and easy to find documentation
- Versatility for creating websites and desktop softwares
- Enjoyable developper experience
- Ability to create good looking modern UIs
- Job openings with this language
I tried Python, Java, C# and C++ without finding what I was looking for.
When I discovered Javascript, I really knew it was the right language to use. Thinking of this today makes me realize even more how great a decision this has been to learn, use and master Javascript. It has been a fun, challenging and productive road on which I am still satisfied.
Obviously, when I refer to Javascript, it is not without implying the vast ecosystem around it. For me, JS is a whole universe in which almost every imaginable tools exist. It's awesome - for real. Thanks to all the contributors which have made it possible.
To be even clearer about how intense I am with Javascript, let's just say that my first passion was music. Until, I find coding with Javascript! Yep, I know!
So in conclusion, I chose Javascript because it is versatile, enjoyable, widely used, productive for both desktop softwares and websites with ability to create modern great looking user interfaces (assuming HTML and CSS are involved) and finally there are job openings.
#rust #elixir So am creating a messenger with voice call capabilities app which the user signs up using phone number and so at first i wanted to use Actix so i learned Rust so i thought to myself because well its first i felt its a bit immature to use actix web even though some companies are using Rust but we cant really say the full potential of Rust in a full scale app for example in Discord both Elixir and Rust are used meaning there is equal need for them but for Elixir so many companies use it from Whatsapp, Wechat, etc and this means something for Rust is not ready to go full scale we cant assume all this possibilities when it come Rust. 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
Python has become the most popular language for machine learning right now since almost all machine learning tools provide service for this language, and it is really to use since it has many build-in objects like Hashtable. In C, you need to implement everything by yourself.
C++ is one of the most popular programming languages in graphics. It has many fancy libraries like eigen to help us process matrix. I have many previous projects about graphics based on C++ and this time, we also need to deal with graphics since we need to analyze movements of the human body. C++ has much more advantages than Java. C++ uses only compiler, whereas Java uses compiler and interpreter in both. C++ supports both operator overloading and method overloading whereas Java only supports method overloading. C++ supports manual object management with the help of new and delete keywords whereas Java has built-in automatic garbage collection.
Go is a way faster than both Python and PHP, which is pretty understandable, but we were amazed at how good we adapted to use it. Go was a blessing for a team , since strict typing is making it very easy to develop and control everything inside team, so the quality was really good. We made huge leap forward in dev speed because of it.
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. In many projects there is a tendency to port Python, PySpark code to Scala and Scala Spark.
This yields to longer time to market and a lot of mistakes due to necessity to understand and re-write the code. Also many libraries/apis that data scientists/machine learning practitioners use are not available in jvm ecosystem.
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.
Pipeline orchestration tools such as Luigi/Airflow is python native and fits well to this picture.
I have heard some arguments against Python such as, it is slow, or it is hard to maintain due to its dynamically typed language. However cost/benefit of time consumed porting python code to java/scala alone would be enough as a counter-argument. 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.
Context: Writing an open source CLI tool.
Go and Rust over Python: Simple distribution.
With Go and Rust, just build statically compiled binaries and hand them out.
With Python, have people install with "pip install --user" and not finding the binaries :(.
Go and Rust over Python: Startup and runtime performance
Go and Rust over Python: No need to worry about which Python interpreter version is installed on the users' machines.
Go over Rust: Simplicity; Rust's memory management comes at a development / maintenance cost.
Go over Rust: Easier cross compiles from macOS to Linux.
I use Powershell for everyday scripting, text manipulation, simple REST api testing and other tasks. My choice to use Powershell was primarily based on availability. At the time (2010), every company machine I was using or going to use was Windows and guaranteed to have Powershell. Python was an option but not guaranteed to be installed on every machine. The choice was not based on ease of use, flexibility or support.
We’re a new startup so we need to be able to deliver quick changes as we find our product market fit. We’ve also got to ensure that we’re moving money safely, and keeping perfect records. The technologies we’ve chosen mix mature but well maintained frameworks like Django, with modern web-first and api-first front ends like GraphQL, NextJS, and Chakra. We use a little Golang sparingly in our backend to ensure that when we interact with financial services, we do so with statically compiled, strongly typed, and strictly limited and reviewed code.
You can read all about it in our linked blog post.
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. Its web ecosystem is OK by now (see https://www.arewewebyet.org/), but in my opinion, it is still no where near that of the other web languages. 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.
With Python + Django it was so much faster to create a typical website like this. Using Go would take to long to launch the initial version. For example, Python could handle complex data type with less line of code. Django also has many built-in libraries and a huge ecosystem of libraries that can be easily used to build a feature.
Pros of Hack
- Interoperates seamlessly with php6
- Open source6
- Backed by facebook5
- HHVM4
- PHP like2
- Great documentation2
- Generics2
- Fast1
- Used by facebook1
- Great type system0
- Easy to learn0
Pros of Python
- Great libraries1.2K
- Readable code963
- Beautiful code847
- Rapid development788
- Large community691
- Open source438
- Elegant393
- Great community282
- Object oriented273
- Dynamic typing221
- Great standard library77
- Very fast60
- Functional programming55
- Easy to learn50
- Scientific computing46
- Great documentation35
- Productivity29
- Matlab alternative28
- Easy to read28
- Simple is better than complex24
- It's the way I think20
- Imperative19
- Very programmer and non-programmer friendly18
- Free18
- Machine learning support17
- Powerfull language17
- Fast and simple16
- Scripting14
- Explicit is better than implicit12
- Ease of development11
- Clear and easy and powerfull10
- Unlimited power9
- Import antigravity8
- It's lean and fun to code8
- Print "life is short, use python"7
- Python has great libraries for data processing7
- High Documented language6
- I love snakes6
- Readability counts6
- Rapid Prototyping6
- Now is better than never6
- Although practicality beats purity6
- Flat is better than nested6
- Great for tooling6
- There should be one-- and preferably only one --obvious6
- Fast coding and good for competitions6
- Web scraping5
- Lists, tuples, dictionaries5
- Great for analytics5
- Beautiful is better than ugly4
- Easy to learn and use4
- Easy to setup and run smooth4
- Multiple Inheritence4
- CG industry needs4
- Socially engaged community4
- Complex is better than complicated4
- Plotting4
- Simple and easy to learn4
- List comprehensions3
- Powerful language for AI3
- Flexible and easy3
- It is Very easy , simple and will you be love programmi3
- Many types of collections3
- If the implementation is easy to explain, it may be a g3
- If the implementation is hard to explain, it's a bad id3
- Special cases aren't special enough to break the rules3
- Pip install everything3
- No cruft3
- Generators3
- Import this3
- Batteries included2
- Securit2
- Can understand easily who are new to programming2
- Should START with this but not STICK with This2
- A-to-Z2
- Because of Netflix2
- Only one way to do it2
- Better outcome2
- Good for hacking2
- Best friend for NLP1
- Sexy af1
- Procedural programming1
- Automation friendly1
- Slow1
- Keep it simple0
- Powerful0
- Ni0
Pros of Rust
- Guaranteed memory safety145
- Fast132
- Open source88
- Minimal runtime75
- Pattern matching72
- Type inference63
- Algebraic data types57
- Concurrent57
- Efficient C bindings47
- Practical43
- Best advances in languages in 20 years37
- Safe, fast, easy + friendly community32
- Fix for C/C++30
- Stablity25
- Zero-cost abstractions24
- Closures23
- Extensive compiler checks20
- Great community20
- Async/await18
- No NULL type18
- Completely cross platform: Windows, Linux, Android15
- No Garbage Collection15
- Great documentations14
- High-performance14
- Generics12
- Super fast12
- High performance12
- Safety no runtime crashes11
- Fearless concurrency11
- Compiler can generate Webassembly11
- Macros11
- Guaranteed thread data race safety11
- Helpful compiler10
- RLS provides great IDE support9
- Prevents data races9
- Easy Deployment9
- Real multithreading8
- Painless dependency management8
- Good package management7
- Support on Other Languages5
- Type System1
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Cons of Hack
Cons of Python
- Still divided between python 2 and python 353
- Performance impact28
- Poor syntax for anonymous functions26
- GIL22
- Package management is a mess19
- Too imperative-oriented14
- Hard to understand12
- Dynamic typing12
- Very slow12
- Indentations matter a lot8
- Not everything is expression8
- Incredibly slow7
- Explicit self parameter in methods7
- Requires C functions for dynamic modules6
- Poor DSL capabilities6
- No anonymous functions6
- Fake object-oriented programming5
- Threading5
- The "lisp style" whitespaces5
- Official documentation is unclear.5
- Hard to obfuscate5
- Circular import5
- Lack of Syntax Sugar leads to "the pyramid of doom"4
- The benevolent-dictator-for-life quit4
- Not suitable for autocomplete4
- Meta classes2
- Training wheels (forced indentation)1
Cons of Rust
- Hard to learn28
- Ownership learning curve24
- Unfriendly, verbose syntax12
- High size of builded executable4
- Many type operations make it difficult to follow4
- No jobs4
- Variable shadowing4
- Use it only for timeoass not in production1