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Elixir vs Python: What are the differences?

Introduction

Elixir and Python are both powerful programming languages that are widely used in the software development industry. While they share some similarities, there are also key differences between the two languages that developers should be aware of. In this article, we will discuss the main differences between Elixir and Python.

  1. Concurrency and Parallelism: One major difference between Elixir and Python lies in their approach to concurrency and parallelism. Elixir, built on the Erlang virtual machine, has built-in support for lightweight processes, also known as "actors." This allows Elixir applications to handle a large number of simultaneous connections and scale seamlessly. Python, on the other hand, relies on threads and multiprocessing for concurrency and parallelism, which can be more complex to manage in certain scenarios.

  2. Syntax and Code Readability: Elixir and Python have different syntax styles and code readability conventions. Elixir, inspired by Ruby and built on the functional programming paradigm, emphasizes code clarity and readability by using a consistent and expressive syntax. Python, on the other hand, focuses on simplicity and readability by using indentation to define code blocks and employing an intuitive syntax. The choice between the two languages may depend on personal preference and the specific requirements of the project.

  3. Type System: The type systems of Elixir and Python also differ significantly. Elixir is a dynamically typed language, meaning that variables do not have predefined types and their types can change at runtime. This allows for more flexibility but may introduce potential runtime errors. Python, on the other hand, is a dynamically typed language, which means that variables have fixed types that are determined at runtime. This can help catch type-related errors at an earlier stage but may limit flexibility in certain scenarios.

  4. Concurrency Models: Elixir and Python have different concurrency models. In Elixir, concurrency is achieved through the use of lightweight processes and message passing. This model empowers developers to build fault-tolerant and highly concurrent systems. Python, on the other hand, follows the Global Interpreter Lock (GIL) model, where only one thread can execute Python bytecode at a time, limiting true parallelism and making it more suitable for IO-bound tasks rather than CPU-bound tasks.

  5. Error Handling: Elixir and Python have different approaches to error handling. Elixir encourages the use of "let it crash" philosophy, meaning that developers should allow processes to crash and rely on supervision trees to handle failures and recover gracefully. Python, on the other hand, follows a more traditional approach to error handling with try-catch blocks and explicit exception raising and handling. The choice between the two approaches may depend on the specific requirements and goals of the project.

  6. Community and Ecosystem: Elixir and Python have vibrant developer communities and ecosystems. Python, being one of the most popular programming languages worldwide, has a vast range of libraries, frameworks, and tools readily available. Elixir, although less popular, has a passionate community and offers powerful frameworks like Phoenix for building real-time and scalable web applications. Developers should consider the availability of community support and relevant resources when choosing between Elixir and Python.

In Summary, Elixir and Python differ in their approach to concurrency and parallelism, syntax and code readability, type systems, concurrency models, error handling, and the size and vibrancy of their respective communities and ecosystems.

Advice on Elixir and Python
Needs advice
on
JavaJavaJavaScriptJavaScript
and
PythonPython

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?

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Replies (6)
Recommends
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DjangoDjangoPythonPython

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 :)

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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.

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anas mattar
Technical Lead at DPO International · | 2 upvotes · 245.5K views
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JavaScriptJavaScript

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.

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Nash Nziramasanga
Software Developer at Billow Software · | 1 upvotes · 245.3K views

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

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Jamal Abdinasir
Product manager at abdinasirjamal171@gmail.com · | 1 upvotes · 245.7K views
Recommends

Kindly I don't find any help that solve this mystery I need more help if it will happen

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Hüseyin Özkılıç
Senior Full-Stack Developer at RADSoft · | 1 upvotes · 245.3K views
Recommends
on
JavaScriptJavaScriptLaravelLaravel

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)

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Needs advice
on
C++C++JavaScriptJavaScript
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PythonPython

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.

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Replies (3)
Pat Fitzner
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PythonPython

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.

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C langC langC++C++C#C#JavaJava

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++

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anas mattar
Technical Lead at DPO International · | 2 upvotes · 222.9K views
Recommends

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

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Brayden W
Needs advice
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GolangGolangPythonPython
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RustRust

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.

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Replies (4)
Recommends
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GolangGolangPythonPython

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.

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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.

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Akihito KIRISAKI
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PythonPythonRustRust

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.

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Donald Tran
Software Engineer at T-Mobile · | 3 upvotes · 412.5K views
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on
RustRust

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!

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piusha kalyana
Senior software engineer at Getir · | 13 upvotes · 380.8K views
Needs advice
on
GolangGolangPHPPHP
and
PythonPython

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?

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Replies (5)
Hannes Holst
at 365 Consulting Services Ltd. · | 7 upvotes · 379.5K views
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on
PythonPython

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?

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anas mattar
Technical Lead at DPO International · | 3 upvotes · 366.5K views
Recommends
on
PHPPHP

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

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Recommends
on
GolangGolang

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.

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anas mattar
Technical Lead at DPO International · | 1 upvotes · 362.5K views
Recommends
on
C#C#GolangGolangPHPPHP

your decision depend on what language do you know. if you know php you can use laravel framework

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Oluwafemi Lawrence
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GolangGolang

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.

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Needs advice
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PowerShellPowerShell
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PythonPython

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?

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Replies (3)
Recommends
on
PowerShellPowerShell

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.

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Witt Allen
DevOps Engineer at Provisions Group · | 5 upvotes · 128.5K views
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on
PowerShellPowerShell

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 :)

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Recommends
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PowerShellPowerShell

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.

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Needs advice
on
GolangGolangPythonPython
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RustRust

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?

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Replies (17)
Recommends
on
PythonPython

python is a good language to start for the beginner.

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Will Vandebelt
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GolangGolangPythonPython

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.

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Recommends
on
GolangGolang

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.

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Recommends
on
PythonPython

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.

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Recommends
on
C#C#PythonPython

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.

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Kudos Beluga
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on
PythonPython

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 😁

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Stanislav Petrov
Senior Software Engineer at GfK · | 3 upvotes · 332.5K views
Recommends
on
PythonPython

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.

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Recommends

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.

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Recommends
on
GolangGolangPythonPython

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.

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Recommends

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.

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Recommends
on
PythonPython

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 :)

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Recommends

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.

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Amity International School Sec Gurugram
Vice Cyber Captain at Student · | 1 upvotes · 332.2K views
Recommends
on
PythonPython

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

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Recommends
on
PythonPython

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.

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Recommends

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.

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Recommends
on
PythonPython

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.

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Recommends
on
GolangGolang

Study, machine learning = Python | High performance computing, safety-oriented programming = Rust | Backend, feel productive with less runtime performance drawback = Go

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Needs advice
on
C#C#DjangoDjango
and
PythonPython

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,

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Replies (3)
ALESSIO SALTARIN
Distinguished IT Architect at IBM · | 10 upvotes · 220.1K views
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C#C#DjangoDjangoPythonPython

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.

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Recommends
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DjangoDjango

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. :)

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Carlos Iglesias
Recommends

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.

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Needs advice
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C++C++JavaScriptJavaScript
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PythonPython

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.

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Replies (8)
Taimoor Mirza
Associate Software Engineer at Intech Process Automation · | 21 upvotes · 250.9K views
Recommends
on
PythonPython

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.

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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

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Recommends
on
JavaScriptJavaScript

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.

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Mukesh Gurpude
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on
JavaScriptJavaScriptPythonPython

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.

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Recommends
on
FlaskFlaskPythonPython

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!

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Recommends
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JavaScriptJavaScript

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.

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John Akhilomen
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JavaScriptJavaScriptPythonPython

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.

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Recommends
on
WordPressWordPress

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....

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Needs advice
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JavaJavaJavaScriptJavaScript
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PythonPython

I am new to programming and am a university student. While Computer Science is not my area of study, I am majoring in a subject that branches off computer science and health informatics, which deals with databases. I am currently in a programming fundamentals course at my university. My instructor mentioned that he develops in Java, but I have heard many good things about Python and JavaScript before taking his course; while we are only doing the fundamentals, I believe he is teaching us some in Java.

Since I am new to this, I'm not sure what I like more. I have also been self-teaching before this course but have not gotten deep into a particular language's fundamentals. I want to decide on a language and stick to it before I move to a new one after the first language is learned, but it is difficult deciding which language to start with. I want to develop medical software and medical mobile apps.

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Replies (10)
Dimelo Waterson
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on
JavaJava

There's a reason many universities start with Java- it has strict rules and lays out code in a straightforward (if excessively-boiler-plate-heavy) way. For a beginner, Java is an excellent way to learn the fundamentals of programming before taking off the training wheels and continuing in more flexible, less-syntactically-rigorous direction like Python or JavaScript.

Sticking to a language before moving on is a common goal. However, in reality you are going to transition as you find languages that better suit you or your organization's requirements. Start with Java, not because it is optimal for your end goals, but because it will teach you what you like and dislike about programming and because your instructor is more familiar with it. That will give you a valuable perspective and allow you to make a more informed decision later.

There are many ways to solve problems in different languages, but the "best" language pragmatically is the one that you feel most comfortable using. In that respect, programming is like woodworking- you want to let the tool do the work. If there is another language that is "better" objectively but more difficult or confusing to you, you will counteract the anticipated benefits by having to struggle to write code.

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Recommends
on
JavaJava

The only way to solve this problem while avoiding opinions and tastes is to objectively look at what you are trying to build.

Thus the most efficient part of your question is your last sentence: you want to build medical software and medical mobile apps.

In that case, the answer is definitely Java, as is for all "real" software projects.

Python is good for data science, in other words for statistics. Its other competitive advantage is that it is easy to learn for beginners, but that would be a bad reason to use it for a "real" software project.

JavaScript is a mess you don't want to get into. The major reason why it's popular is that many people learn it first, because its very basic features are easy to learn, although they don't get you far, and because it used to have exclusivity on the web. But in reality it will make your life a lot harder after a few weeks, without any benefit. I know I'll get criticisms for that, but I stand fully by this position.

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Taimoor Mirza
Associate Software Engineer at Intech Process Automation · | 4 upvotes · 204.9K views
Recommends
on
JavaJavaPythonPython

Since you're already taking a CS course which involves Java, I would recommend you to keep learning it. Java's statically typed & OO nature forces you to learn a lot of important yet common programming fundamentles. C++, C# and Java type languages also force you write code more carefully (you have to think about the data types on your own and even allocate/de-allocate memories [C++ pointers]). That's why colleges prefer it as go to language for teaching CS concepts.

On the other hand, JS, Python and other such languages are dynamic in nature and hence, easy to learn. But you can't learn certain concepts (polymorphism, abstract classes, diamond problem etc) using these languages. So it makes sense to stick with Java in your case.

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Recommends
on
PythonPython

try with python because easy ... its good for u when u are learning basic's and they have many library that help's u with mobile app and desktop application but it is not the best ... when u are learn programming will with python then start with js basic's and then (react native) or flutter and also u can use java for mobile development bur i recommend first choices ..and for Desktop application java is have an amazing library (java fx ) for this type of application's and C# is one of most powerful language's for software development . good luck

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Recommends
on
JavaJavaPythonPython

While I've seen many people recommend Java (and I agree with them), I think you can learn both. But it depends on how much time you got. I recommend you first learn Java. Then python will be easy to learn, and focus mainly on modules for graphs. The reason why I recommend to learn both is because python is much better and easier to code about statistical analysis. But again do this only if you have time to just learn them.

If your project doesn't have anything to do with statistics and data analysis (I'm pretty sure you do though), learn only java. Also if you are wondering why I never mentioned JavaScript (JS), it's because i really don't recommend it. JS is much harder to learn and requires a lot of lines of code to do simple things.

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Recommends
on
JavaJava

Since your instructor is using Java, i'd start with Java. If you want to get into mobile development, I'd check out flutter / dart. Good luck!

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My advice to anyone learning to program is to not obsess on the language.. You SHOULD learn all languages.. Same as learning human spoken languages - the more you learn, the more ways your mind can interpret a new problem set. Learning them at the same time isn't a big deal (just like growing up in a bilingual home). Your language and your software stack are guaranteed to change 3 times in your career. Don't assume you're going to choose the "right one". And you wont waste any time learning one you never wind up using.

As a person who works on linux and OSX desktops, I have a personal bias against working for companies and software stacks that require C# or Visual Studio. But this is not due to their technical merits, but instead the OS as a platform condusive to efficient CLI toolchains and container management. But aside from that, I can use vi/IntelliJ-suite to write most languages, so language isn't a real concern. If you're windows bound, pretty much everything is available to you (through VMs and docker).

Ideally you do at least SOME full stack development learning. This means you'll need javascript, and thus nodejs would be a good stack to learn. If you ultimately like gaming or 3D, you might need C# and certainly python.

Any AI (which is a hot employment topic for the forseeable future) would like python skillz.

I personally love Java (and Android's Kotlin varient) for it's very very well designed multi-threaded libraries. go and rust are newer and thus do a slightly better job at this, but due to the open-source nature of java and editors that auto-reveal function call source code, it's very easy to learn how vendors implemented MT code and various other algorithms. Python should be equally "open" to 3rd party library review (and thus again how they solve complex problems), though a lot of times, I see python resorting to compiled C-libraries (and thus the cost to crack open the code and or trace through the code becomes too burdensome to bother).

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Srikanth Gopalakrishnan
Founder at TheDatingClub · | 2 upvotes · 207.4K views
Recommends
on
JavaJavaPythonPython

Although java seems to be a good fit for you. It is a cumbersome language to get started out. It will be far easier for you to learn Python and stick with it long term. This is due to the fact you will be easily able to google things for python and you will spend less time learning the language, and more time using it to do what you want.

Making mobile apps is easier with Java due to the fact that google does not directly support app building with python. If this is your biggest priority stick with Java.

Javascript: This language is the best language to learn if you are making a website. However, for easy of use you can do all the database access stuff with python. And send back the data to your website. Javascript is also another cumbersome language in my opinion.

Each language has its use. If I were In your situation, I would choose the language that's easy to start with.

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Recommends
on
JavaJava

It would be great if you first go with Java. It could give you complete understanding of programming concepts. Such as data types. Later you can move to Python , which is great for data processing and Machin learning stuff.

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There is always trade off between them. If you want to make mobile app JavaScript is better. I suggest start the one you feel more close and learn all of them :) You are quite young you have enough time for them.

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Needs advice
on
LinuxLinuxPowerShellPowerShell
and
PythonPython
in

I currently work helpdesk and have been for about 6 years. I am looking to become more valuable, and I can't decide what route to take? Python is of interest, and so is PowerShell. What are some recommendations? Maybe something that would benefit a helpdesk position or even get into a network administrator.

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Replies (5)
Bryan Rodriguez
Cloud Engineer at Alteryx · | 8 upvotes · 97.8K views
Recommends
on
PowerShellPowerShell

I think that if you plan on sticking around enterprise systems and Microsoft, you should definitely get into some PowerShell. Basically anything you do via Active Directory, you should try mirroring it in PowerShell. It’s an easy one to learn, and it’s easy to follow that into Azure CLI. I was in the same boat as you — Did Helpdesk/System Administration for 10 years. PowerShell got me out.

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Jan-Henrik Damaschke
CTO, Senior Cloud Architect at Visorian GmbH · | 6 upvotes · 98.5K views

I would also recommend PowerShell! Since I started learning PowerShell, a lot of possibilities opened up for me, I even became a PowerShell MVP. Since PowerShell Core/6/7 it has gotten a lot of interest in the Linux community and I love it for it's flexibility and possibilities only limited by your imagination ;) Check out the community dashboard to see the current usage https://aka.ms/PSGitHubBI, check out the PowerShell docs at https://docs.microsoft.com/en-us/powershell/scripting/overview?view=powershell-7, especially the "Learning PowerShell" section and feel free to contact me for further questions!

PS: Just to be complete on this, I also use Python, but in a very different scope. Python in my opinion is the best for data analytics related tasks or even whole production (web) applications (e.g. with Django). PowerShell is great for automation, orchestration and all the little tasks that makes your everyday life easier.

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Recommends
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PowerShellPowerShell

Definitely PowerShell. While you can do network related stuff with python, powershell gives you an in-depth understanding of various parts of the internet. This is because you manually execute each and every step, while in high end languages, you just use 1 or 2 commands. While powershell might take a bit more time, it will be really useful to understand networking and will give you a considerably high boost in terms of your career too.

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Steve Barnes
Lead Software Tools Engineer at Leonardo UK · | 2 upvotes · 88.3K views

I would recommend learning to use both python & power shell (plus Linux/WSL) by using them to do aspects of your current work better/faster/easier. You will definitely benefit from reading https://docs.microsoft.com/en-us/windows/python/scripting.

I would suggest taking a look at https://automatetheboringstuff.com/ - with a little thought I am sure that there are aspects of your current role that you can simplify or enhance by following the suggestions & doing so will give you valuable experience and may result in offers of more interesting roles growing from your current one.

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YASSA BARAKAT
Recommends
at

Hello, how are you, my friend, I needed help learning Python. If you can help me, I will be very grateful to you.

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Decisions about Elixir and Python

#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

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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.

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Kirill Mikhailov

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.

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Chose
PythonPython
over
ScalaScala

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.

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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.

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E Tidalgo

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.

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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.

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Timm Stelzer
VP Of Engineering at Flexperto GmbH · | 18 upvotes · 650.5K views

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.

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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.

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Xi Huang
Developer at University of Toronto · | 11 upvotes · 243.7K views

We changed to Python instead of Java to have the back-end processing in the same language as our data analysis module. In addition, Python has a lot of libraries for data-processing. We intend to use Flask for our back-end web development. Flask is a simple, straight-forward framework for our purposes. Flask also has a large community which is beneficial to the development process.

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Pros of Elixir
Pros of Python
  • 174
    Concurrency
  • 162
    Functional
  • 133
    Erlang vm
  • 113
    Great documentation
  • 105
    Great tooling
  • 87
    Immutable data structures
  • 81
    Open source
  • 77
    Pattern-matching
  • 62
    Easy to get started
  • 59
    Actor library
  • 32
    Functional with a neat syntax
  • 29
    Ruby inspired
  • 25
    Erlang evolved
  • 24
    Homoiconic
  • 22
    Beauty of Ruby, Speed of Erlang/C
  • 17
    Fault Tolerant
  • 14
    Simple
  • 13
    High Performance
  • 11
    Doc as first class citizen
  • 11
    Good lang
  • 11
    Pipe Operator
  • 9
    Stinkin' fast, no memory leaks, easy on the eyes
  • 9
    Fun to write
  • 8
    OTP
  • 8
    Resilient to failure
  • 6
    GenServer takes the guesswork out of background work
  • 4
    Pattern matching
  • 4
    Not Swift
  • 4
    Idempotence
  • 4
    Fast, Concurrent with clean error messages
  • 3
    Easy to use
  • 2
    Dynamic Typing
  • 2
    Error isolation
  • 1.2K
    Great libraries
  • 963
    Readable code
  • 847
    Beautiful code
  • 788
    Rapid development
  • 691
    Large community
  • 438
    Open source
  • 393
    Elegant
  • 282
    Great community
  • 273
    Object oriented
  • 221
    Dynamic typing
  • 77
    Great standard library
  • 60
    Very fast
  • 55
    Functional programming
  • 50
    Easy to learn
  • 46
    Scientific computing
  • 35
    Great documentation
  • 29
    Productivity
  • 28
    Matlab alternative
  • 28
    Easy to read
  • 24
    Simple is better than complex
  • 20
    It's the way I think
  • 19
    Imperative
  • 18
    Very programmer and non-programmer friendly
  • 18
    Free
  • 17
    Machine learning support
  • 17
    Powerfull language
  • 16
    Fast and simple
  • 14
    Scripting
  • 12
    Explicit is better than implicit
  • 11
    Ease of development
  • 10
    Clear and easy and powerfull
  • 9
    Unlimited power
  • 8
    Import antigravity
  • 8
    It's lean and fun to code
  • 7
    Print "life is short, use python"
  • 7
    Python has great libraries for data processing
  • 6
    High Documented language
  • 6
    I love snakes
  • 6
    Readability counts
  • 6
    Rapid Prototyping
  • 6
    Now is better than never
  • 6
    Although practicality beats purity
  • 6
    Flat is better than nested
  • 6
    Great for tooling
  • 6
    There should be one-- and preferably only one --obvious
  • 6
    Fast coding and good for competitions
  • 5
    Web scraping
  • 5
    Lists, tuples, dictionaries
  • 5
    Great for analytics
  • 4
    Beautiful is better than ugly
  • 4
    Easy to learn and use
  • 4
    Easy to setup and run smooth
  • 4
    Multiple Inheritence
  • 4
    CG industry needs
  • 4
    Socially engaged community
  • 4
    Complex is better than complicated
  • 4
    Plotting
  • 4
    Simple and easy to learn
  • 3
    List comprehensions
  • 3
    Powerful language for AI
  • 3
    Flexible and easy
  • 3
    It is Very easy , simple and will you be love programmi
  • 3
    Many types of collections
  • 3
    If the implementation is easy to explain, it may be a g
  • 3
    If the implementation is hard to explain, it's a bad id
  • 3
    Special cases aren't special enough to break the rules
  • 3
    Pip install everything
  • 3
    No cruft
  • 3
    Generators
  • 3
    Import this
  • 2
    Batteries included
  • 2
    Securit
  • 2
    Can understand easily who are new to programming
  • 2
    Should START with this but not STICK with This
  • 2
    A-to-Z
  • 2
    Because of Netflix
  • 2
    Only one way to do it
  • 2
    Better outcome
  • 2
    Good for hacking
  • 1
    Best friend for NLP
  • 1
    Sexy af
  • 1
    Procedural programming
  • 1
    Automation friendly
  • 1
    Slow
  • 0
    Keep it simple
  • 0
    Powerful
  • 0
    Ni

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Cons of Elixir
Cons of Python
  • 11
    Fewer jobs for Elixir experts
  • 7
    Smaller userbase than other mainstream languages
  • 5
    Elixir's dot notation less readable ("object": 1st arg)
  • 4
    Dynamic typing
  • 2
    Difficult to understand
  • 1
    Not a lot of learning books available
  • 53
    Still divided between python 2 and python 3
  • 28
    Performance impact
  • 26
    Poor syntax for anonymous functions
  • 22
    GIL
  • 19
    Package management is a mess
  • 14
    Too imperative-oriented
  • 12
    Hard to understand
  • 12
    Dynamic typing
  • 12
    Very slow
  • 8
    Indentations matter a lot
  • 8
    Not everything is expression
  • 7
    Incredibly slow
  • 7
    Explicit self parameter in methods
  • 6
    Requires C functions for dynamic modules
  • 6
    Poor DSL capabilities
  • 6
    No anonymous functions
  • 5
    Fake object-oriented programming
  • 5
    Threading
  • 5
    The "lisp style" whitespaces
  • 5
    Official documentation is unclear.
  • 5
    Hard to obfuscate
  • 5
    Circular import
  • 4
    Lack of Syntax Sugar leads to "the pyramid of doom"
  • 4
    The benevolent-dictator-for-life quit
  • 4
    Not suitable for autocomplete
  • 2
    Meta classes
  • 1
    Training wheels (forced indentation)

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What is Elixir?

Elixir leverages the Erlang VM, known for running low-latency, distributed and fault-tolerant systems, while also being successfully used in web development and the embedded software domain.

What is Python?

Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.

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What are some alternatives to Elixir and Python?
Golang
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.
Erlang
Some of Erlang's uses are in telecoms, banking, e-commerce, computer telephony and instant messaging. Erlang's runtime system has built-in support for concurrency, distribution and fault tolerance. OTP is set of Erlang libraries and design principles providing middle-ware to develop these systems.
Clojure
Clojure is designed to be a general-purpose language, combining the approachability and interactive development of a scripting language with an efficient and robust infrastructure for multithreaded programming. Clojure is a compiled language - it compiles directly to JVM bytecode, yet remains completely dynamic. Clojure is a dialect of Lisp, and shares with Lisp the code-as-data philosophy and a powerful macro system.
Ruby
Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming.
Rust
Rust is a systems programming language that combines strong compile-time correctness guarantees with fast performance. It improves upon the ideas of other systems languages like C++ by providing guaranteed memory safety (no crashes, no data races) and complete control over the lifecycle of memory.
See all alternatives