Introduction to Web development using the Laravel PHP framework
Flask is a Python Microframework created in 2004. It doesn’t require any particular tools or libraries, however it is useful as it supports extensions to allow the importing of application features. The framework was originally created as an April Fool’s joke, however was popular enough in concept for the formation of a serious application.
The framework has been used by Pinterest and LinkedIn, and is popular among Python enthusiasts. Flask uses Jinja2 templating, and contains a debugger and support for secure cookies. Flask has been positively reviewed in areas of flexibility and simplicity. On Github, Flask is slightly more popular than competitor Django.
Flask is commonly used for web applications, such as mail inboxes, online transactions and auditing.Hire Flask Developers
I have front end In Vue js and backend using Flask. Data is stored into mongodb You should know how to deploy on aws server. Should be available whenever required.
hello looking for someone able to build me a model able to detect title similar between 2 products in ecommerce to detect mismatch, ideally would be able to already work on the project that does image similarity as an example of what kind of solution I would expect refer to this link section title similarity : [login to view URL] if this link doesnt talk to you or you have no idea , do not wast...
[login to view URL]
I'm trying to learn react by migrating a flask app to react. I'm looking for more of an advisory role/help understanding how to set things up. Overall though I prefer to do the majority of the work and more have code checks, advice, etc I want to use flask as the backend, react frontend, and graphql/SQL for the database.
2 Tasks - Project budget (Max 5000 INR) 1. I have a flask web application that runs scrapy spiders at the click of a button. As of now, all spiders are running one after another, I want them to run in parallel. Also, when the button is clicked it should be disabled untill complete spiders execution has been completed. 2. Deploy on Heroku or Pythonanywhere