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|Description||A popular general-purpose scripting language that is especially suited to web development||Lightweight, interpreted, object-oriented language with first-class functions||Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.|
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PHP drives 80% of the web
July 11, 2014 01:42
Rants about PHP are everywhere, but during the last years the language and the whole ecosystem has evolved.
The lastest versions support namespaces, closures, traits, generators and with composer a dependency manager that changed the way PHP developers work and collaborate.
December 15, 2015 02:36
worked with php for around a year helping a client automate their backend and optimize their existing infrastructure.
PHP powers 90% of our application; both rendering the front-end, as the background processes (data capture, processing, etc.)
To generate websites from data, and to serve my UI for defining that data. Also many small personal tools, such as icon converters (rather than bash scripts). PHP is my go-to tool for server side logic.
Built an API with Composer, PHP Unit, Doctrine, Zend Validator, Zend Filter, and Stack PHP, and a PSR-7 micro framework that someone built called Proton that does not have any documentation.
Most used web development language, we use the latest version 7 which is about twice as fast as previous versions.
We happened to write the frontend in PHP. Hey, it was 2006, and we were high school students ;-)
An older ticket purchase system as well as nearly all management tools are still written in PHP. It's a long process to migrate away from it given available development resources.
PHP is what powers the server and dynamic content pages. It may be old school but it works.
How to use SelectPdf for HTML TO PDF Conversion in PHP: http://selectpdf.com/web-html-to-pdf-rest-api-for-php-samples/
→ Tom Z
Because it is required although the server is running HHVM every bit of code is PHP friendly it's an awesome synergy.
Legacy code that, although maintained slightly, will be phased out as we migrate the 2 backend tools that rely on it to other, more robust languages. See: http://bjorn.tipling.com/if-programming-languages-were-weapons
→ Sud Web
For bells and whistles on the UI, and for making the game Whack-A-Mol. I purposely avoided jQuery or other 3rd party frameworks, as I was aiming to make a low overhead website system, rather than a complex web application like I make most of the time.
The only notable exceptions were the use of SCSS (augmented by Compass) for styling, Bash for a few basic 'system chores' and CLI utilities required for development of the app (most notably git and heroku's CLI interface), and a bit of custom SQL for locations where the ORM extractions leaked (the app is DB-agnostic, but a bit of SQL was required to fill gaps in the ORMs when interfacing with Postgres).
All of our Frontend code is written in ECMAScript 6 using React/Redux, running on Node.js
Used Angular,Express,Mongo,Node.js and plenty APIs to support web or mobile application development.
Also used Sequalize for Object relational mapping in case the database shall be relational database, such as postgreSQL, MySQL, MariaDB, Oracle database.
Aside from usual web UI stuff, the user support widget/chat client, Z-XMPP, is written in it.
There are a couple js front end pieces that make my page look a little better.
JS on the config pages as well as within the watchapp for communication with the Foursquare API.
Used along with jQuery to add site interactivity, tag management and analytics.
Here & there. All on lambda. Anything guaranteed cold spin-up; otherwise bit slow (compared to node/jvm) when warm.
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.
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.
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.
Python helps us automate the tedious and has the gold standard Natural Language Processing library.
We use Python for Websocket servers as well as other utilities throughout the company.
→ My Stack
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.
Some of our machine learning algorithms are developed and implemented using Python. These algorithms help us recommend content and surface insights about content.
Python is (together with C++) the main language of GatewayAPI.com, we use it for the bulk of our APIs.
Python is used to roll up reports from data generated from processes I have running.
Integrate with data providers. ETL functionality. Postgres interactions. Generate static json data assets.
We use Python in our ETL processes, custom reporting, and as glue to manage service and deployment scripts.
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.
Job-posts data mining, dictionary builder, unsupervised learning processes (mainly NLTK processes: clustering - LDA/KMeans/HDP, pos tagging, paragraph detection)
Most of our backend code is in Python. We use TypeScript for frontend code, and we use Ruby for our build system (Guard).
Python drives the web back end, and is the interface to the command line tools mtr, tcptraceroute and others that provide the functionality.
일반적으로 모씨를 개발하며 가장 자주 사용하는 스크립트 언어입니다. 쉽고, 빠르고, 강력하고, 월등한 생산성을 가집니다. 저희는 아직 python 2.7 을 사용하고 있습니다.
Python scripts gather, parse and analyse build and timing data before sending it to Keen.io for storage
So we have a data science team that works in both Python and R, so kind of how that code typically interacts is they'll all read things from our production database, do any computation that they need to, and either put it back in the production database in another table or put it in another data store, and from there, the Ruby app will kind of pick up where it left off to do whatever it needs to with the numbers. So in the case of demand forecasting, we have Python or R code that does the estimates, that reads all the data, comes up with how many shoppers we’re going to need for the next week or two, and then writes those values, and then the Ruby app kind of displays those values and gives our operations team the tools to schedule shoppers and things like that.
The backbone language here, connecting our games to our data stores and implementing all server-side logic.
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.