Python vs. C# vs. Go

Backend server for analysis of image samples from iPhone microscope lens. Chose this because of familiarity. The number one thing that I've learned at hackathons is that work exclusively with what you're 100% comfortable with. I use Python extensively at my day job at Wit.ai, so it was the obvious choice for the bulk of my coding.

The backbone language here, connecting our games to our data stores and implementing all server-side logic.

Pathwright's backend is entirely written in Python.

Most back-end made with Python + Whiskey, combined with some node.js.

I use Python for various tools as well as XBMC scripts.

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Server-side code.

yryr

Python scripts gather, parse and analyse build and timing data before sending it to Keen.io for storage

Our code base is 100% Python

일반적으로 모씨를 개발하며 가장 자주 사용하는 스크립트 언어입니다. 쉽고, 빠르고, 강력하고, 월등한 생산성을 가집니다. 저희는 아직 python 2.7 을 사용하고 있습니다.

Python drives the web back end, and is the interface to the command line tools mtr, tcptraceroute and others that provide the functionality.

Best language for rapid prototyping, emphasis on the RAPID!

Putting the RAPID in Rapidprototyping!

Most of our backend code is in Python. We use TypeScript for frontend code, and we use Ruby for our build system (Guard).

Our API and back end app are built on Python.

Kudobuzz crawlers and sentence classification are built on python and mongoDB.

Job-posts data mining, dictionary builder, unsupervised learning processes (mainly NLTK processes: clustering - LDA/KMeans/HDP, pos tagging, paragraph detection)

Windows server scripting.

system administration and analytics

Scanning engine uses python, python-Cryptography, and pyopenssl libraries.

For small tasks deemed necessary by Drupal.

Python is our multi-use goto scripting language. It's used for our mobile api and is deployed at scale as well as a utility in backends.

We use Python in our ETL processes, custom reporting, and as glue to manage service and deployment scripts.

Integrate with data providers. ETL functionality. Postgres interactions. Generate static json data assets.

Python is used to roll up reports from data generated from processes I have running.

Samples for SelectPdf Html To Pdf Conversion in Python.

Just about everywhere on back-end as glue.

HTTP Parser

Python is the language of choice for the match collection pipeline.

Programming language

Python is (together with C++) the main language of GatewayAPI.com, we use it for the bulk of our APIs.

She is the one, I use to create core algorithm for the tool

Python is used to power Django

Python 3.5+ is used to run our Tornado application as it support Async/Await coroutines.

Our machine learning team use Python to prototype and develop new tools.

Some of our machine learning algorithms are developed and implemented using Python. These algorithms help us recommend content and surface insights about content.

Our core website and many internal utilities are written in Python.

this is my first weapone with django

첫 언어의 시작은 java였지만, 패스트캠퍼스에서 python으로 수업을 진행하면서 python의 매력에 푹 빠졌습니다. 지금은 저의 신경과 같은 언어입니다.

하지만 얼마든지 이 언어를 다른 언어로 대체할 준비가 되어있습니다.

For most of our backend glue and tooling.

Crawling.

We use Python for Websocket servers as well as other utilities throughout the company.

Made a contact list application for maintain contain list.

Python helps us automate the tedious and has the gold standard Natural Language Processing library.

All automated and manual system admin tools, utilising Paramiko.

All analytics scripts and tools are written in Python

I am using python to write the scripts that should run at the Future Gateway. The regression models that does the machine learning training and prediction for the application is written in python.

basic

many of our apps are written in Python for speed and reliability.

웹파싱을 하기 위해 배운 언어 인데, 생각 보다 재미 있는 언어인것 같다. 인터프리터 언어라 바로바로 돌아가는 점이 참 좋고, 최신 트렌드도 잘 반영되어 있는데, 이상하게 잘 안쓰게 된 언어중 하나다. 만약 Node.js 를 배우지 않았다면, 열심히 파이썬을 쓰고 있었을 지도 모르겠다.

Ambar crawlers and pipeline are written in Python

been a pythoner for around 7 years, maybe longer. quite adept at it, and love using the higher constructs like decorators. was my goto scripting language until i fell in love with clojure. python's also the goto for most vfx studios and great for the machine learning. numpy and pyqt for the win.

Here & there. All on lambda. Anything guaranteed cold spin-up; otherwise bit slow (compared to node/jvm) when warm.

Time series data processing

Web Develpment

Almost all our Lambdas are written in Python

Django Framework로 인해 접하였지만, 그외 개발에 필요한 스크립트를 제작하는데도 많이 사용하고 있습니다.

Powers Django

Use it daily for everything. Hands-down best language I've used so far.

I have been using Python for over 10 years at this point. I have enough expertise using it that this choice was a no-brainer.

All of our tasks and things to do are sorted out using Trello. Trello contains everything we're working on, what we plan on working on and guides on how to work on stuff.

Large swaths of resources built for python to achieve natural language processing. (We are in the process of deprecating the services written in python and porting them over to Javascript and node)

Backend language

Build some data pipelines.

90% of Vaultize server and client is written in Python.

For everything that is important.

We use Python for CBIR system related projects.

Our go to scripting language. If we need it done right now, we do it with python.

To poll the messages from the queue and import songs into DynamoDB from a local csv.

Great for our ETL stack in Matillion and for various scripts we use as part of our deployment

Spark Machine Learning, Scikit-learn, Scrapy, and Keras.

Ansible Orchestration and Network function Script.

We leverage Python for tools like awscli and cfn_flip so they are able to be leveraged during CI tests.

simulated and real data producer.

Python is the programming language (obviously).

Fully implementation of the backend representation of objects in pure python

Python is used as the language for our internal Quest-API for the RPG-Server, but also used for out bot-testing-script to benchmark our Minecraft-servers against heavy workload.

Great support for machine learning/AI programming with numpy scipy and serving the results on the web, used in both our backend forecasting and servers

Easy to handle data

I'm a beginner and like Python. Still learning from tutorials.

for django

Server Side Automation

both functional and oop, django, script,

The majority of our backend code is written in Python. Our Serverless API is made up of python lambdas.

Easy to develop/prototype with, helpful community, vast support and libraries. Perfect for the beginner, perfect for the pro.

Our website and API built using python and Django framework.

Because python looks so pretty. And I love snakes.

as api back-end

In process of Learning Technics

exports user profiles from MongoDB and stores it as Excel

Good client for PostgreSQL available and preferred programming language

It is language, in that the service is implemented

Not yet integrated want to add it to the we server

Main language of the application

Implementation for Backend and Worker Processes

Python 3.6 everywhere

Beautiful is better than ugly.

Explicit is better than implicit.

Simple is better than complex.

Complex is better than complicated.

Flat is better than nested.

Sparse is better than dense.

Readability counts.

Special cases aren't special enough to break the rules.

Although practicality beats purity.

Errors should never pass silently.

Unless explicitly silenced.

In the face of ambiguity, refuse the temptation to guess.

There should be one-- and preferably only one --obvious way to do it.

Although that way may not be obvious at first unless you're Dutch.

Now is better than never.

Although never is often better than right now.

If the implementation is hard to explain, it's a bad idea.

If the implementation is easy to explain, it may be a good idea.

Namespaces are one honking great idea -- let's do more of those!

Machine Learning(ML) POCs and for the applications built upon ML algorithms.

Prediction, modelling, and simulation for Solar predictions

C# is the most productive production language - it exposes a lot of functional conveniences along with the robustness of strong typing. And they're finally embracing the open source community - a huge plus.

#Language Features We use the basic syntax (for, foreach, if,while) and object oriented constructs (classes, very simple inheritance).

We also use lambdas and block methods extensively, an intermediate level programming construct, but in a very formulaic and predictable way.

Primarily for game and VR development. Also for one off windows client applications.

Used the MongoDB's C# driver to parse large dataset in .csv files and insert into MongoDB.

All of our code is in C#

The main Carbonmade backend / API is written in C# and is ready to run on the CLR. We currently host on Windows but are preparing to migrate to Linux when the CoreCLR stabilizes.

Running the server side API

One of our primary languages.

Programming language

Most of our codebase is C#

Server side development language and frameworks: ASP.Net MVC 4, Asp.Net WebApi 2, Razor View engine, Moq, Entity Frameworks, etc.

Language of choice for Windows desktop and mobile apps

Base language to develop all the features

Out of necessity

Backend code

originally used c# a decade ago when writing the tools for superman returns at my stint with electronic arts, have used it again recently for developing in unity.

sdas

Backend language of choice

Exclusively for Unity. No .NET sorry :/

Developing programming skills. Algorithms and data structure techniques. working in various types of project from windows forms to asp.net core

C# is our language of choose. Who really uses VB.NET?

C# is my most well-known language. I work with it since my university studies.

Heavily used in front-end client scripting and backend infrastructure; we've been progressively migrating all our infrastructure to be written in C#/.NET Core.

General purpose API code

No need for this anymore. We use nwjs/elecron instead.

Web services for http://muzeighibli.net

Go is used for the server side code that harvests data, generates reports, and hosts the API for interacting with Social Harvest. It is the major piece of technology used to make Social Harvest possible.

The majority of all code written at Apcera is in Go!

We wrote our own image processing, resizing, and snapshotting service in Go to allow our clients to send photos and GIFs to each other. Files are stored in S3, resized on the fly using OpenCV, and then cached in GroupCache before being served to clients.

Go allows it all to be quite fast and efficient, and entirely non-blocking on uploads!

The first time I actually started using Go was for software on our devices. So on our hotspots we have some custom software running in the firmware. For the first device, that was actually completely built by our manufacturer. But for the second generation most of the parts are built by us in-house and we needed a way to quickly develop software for the device. But we don't have any C programmers in-house, so we were actually looking for something that basically sits in between the friendliness of Ruby, but the performance and the ability to be deployed on an embedded system which you get with C. That's basically what led us to Go and it's been awesome for that. It works so well and so great. Since it works so great, it pushed us into looking into whether we should start using this for some backend services as well.

We're huge fans of Go. We've been porting code into Go for performance and correctness reasons, and most new development is done in Go.

We are prototyping custom API services as custom Go programs.

Creating high performance servers and server software.

Most new projects I start are written in Go.

For some of our more taxing parts of our applications, something able to handle high I/O load quickly and with fast processing is needed. Go has completely filled that gap, allowing us to break down walls that would've been completely impossible with other languages.

Frontend (compiler)

A handwritten Go parser takes the human-readable representation and generates blacklight bytecode out of it.

Backend (VM)

blacklight leverages the concurrency and garbage collection features of Go.

Language of choice. No question.

High performance backoffice integration systems, with more than 70 millions of dayly synchronizations and peaks over 100k synchronizations per minute.

Go powers most of our backend. We primarily like Go due to it's memory efficiency, fast compilation times, excellent concurrency support and great tooling.

Simple but powerful language to create system and network tools that we utilize. Compiled program makes it easy to deploy due to no complex dependencies.

We use golang to create image and video preprocessor, utility for health check + autoscaling and many others

Backend API and command line utilities

I'm a big fan of Golang. I use Golang in most time. In addition, The most software projects of me are written by Golang.

The core language we develop the itzMe platform in.

Most of the building blocks of our microservice platform are written in Go

Quick prototyping and development of microservices for side projects.

The large majority of the microservices and workers in our latest product's architecture are written in Go.

Go was used as the language for the backend. It's fast, fun to write and proved really useful throughout the entire project.

All Lambda functions are written in Golang, managed via https://github.com/apex/apex.

Compact web applications, more secure and faster processing, building sophisticated multifaceted applications with multiple servers working together.

Processos de DevOps

Our platform is developed in Go.

We use Go to build and scale our application API

Would love to use more professionally!

It's my main dev language now.

We use go as our main backend language

Our backend API server and proxy server are written in Go, because it scales very well with the number of incoming or pending requests.

Cirrus CI agent that executes tasks on a host VM or a container is written in Go so it is a self-contained static executable that can be executed on Unix and Windows.

high concurrency and dead simple to write

Go is great for realtime. The gorilla websocket library is excellent. Also the low memory consumption of a single goroutine means you can easily handle many WS connections on a single node.

Go provides the backend of Gofus

Our main web scraping engine is built usign Golang because of the way how efficiently and fast this language is. Also out compilation facility let people who dont know Golang build fast as flash scrapers to run ourside of our platform without any knowledge in programming in Golang.

The following basic API endpoints are implemented on the server written in Go:

• Authorization (Sign Up, Sign In)
• Update user profile
• Community: add post, like post, add comment, delete post, add reply to comment
• Self-diagnosis: send data from the app to the server
• Journal: send user data from the app to the server
• Add groups of community
• Report post, report comment, report reply
• Block user

We’re using go to create fast, massively scalable data ingestion pipeline from IoT edge devices.

We love gopher!

Backend is based on boltdb for storage, gRPC for communication and Go standard packages.