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I'm looking for a free solution that allows for a python script to be run as a scheduled task. The script connects to a MongoDB that I would like to have on the same server. The DB will be smaller than 1GB.
Intuitively, what I need is a computer which I can access remotely, that runs scheduled tasks, and where I can install MongoDB Server, Python, and all the python libs the code needs.
I've tried to understand the solutions of aws, but get a bit confused with all the different solutions they offer.
Can somebody point me in the right direction?
Heroku Cloud is nice platform to upload python apps. Also it provides an add on to schedule tasks. Although it provides mongo database as an add on, you may want to use mongo lab , which provides 500mb of free storage.
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I am developing a Flutter Desktop App and the API is built on Python Fast API, I want to wrap both as single Software but dont know how to do that.
Right now I have to start Fast API Server and then Flutter App to make it working. I want to deploy them as Single App.
I don't know nothing about it.
Please enlighten me.
Maybe it must be a good idea to dockerize both FastAPI and Flutter (here’s link for the tutorial for Flutter only https://medium.com/flutter-community/how-to-dockerize-flutter-apps-f2e54d6ec43c)
It seems to be what you want if you deploy a docker container
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I have some Python code that I want to use in a flutter app. The code imports quite a few python packages. It is designed to take an input from a flutter app, then process it - partly with the help of the packages - then send the output back. I had a look at the various Google Cloud products, and correct me if I'm wrong, but Cloud functions cannot be used with imported python packages, so that rules it out. So I'm left with App Engine and Cloud Run (?). In that case, which of the two should I use to host the backend code, and how can I get started in doing so? Thanks in advance and cheers.
You can use Cloud Functions with Python, it is a very popular option.
The guide on how to do it is described in this quickstart.
The code should be put in the main.py part and the importst that you used have to be described in a requirements.txt file. Which you can get from you environment, from answer.
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I am trying to make an mobile application which requests the server to run the script, and then the python script does some scraping and returns the data to the application.
for testing purposes i have went through some free servers like 000webhost.com , Hostinger and Freehostia but they doesn't seem to support python.
So.. any help with that?
NOTE
I've went through SL4A and Kivy , but i want to approach this problem froma different way
I use heroku to deploy my MessengerBot, so I vouch for it. Its simple to setup and easy to use.
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I am learning Python and because of lack of google drive client for Linux. I want to write a simple script to just sync the local directory with google drive. It doesn't have to be fancy and rich feature. Just a command line and do the sync manually is OK.
Is it there's any existing projects I can start with? Or anyone can list me some topics I should start learning for it?
You could try PyDrive, which claims to be an easier-to-use wrapper around the base Google Drive API: https://pypi.python.org/pypi/PyDrive
If that doesn't do it for you, I suppose you should just look at the API reference here: https://developers.google.com/drive/v2/reference/ and consider Python packages like "requests" or "urllib2" to do the HTTP stuff.
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I'am starting to use Python and web-app building with Flask and coming from an Java EE background this is a lot of fun. But now I need to communicate with my Solr server and I would like a client lib that is just as plain, simple and fun, so what can you recommend and why?
I personally prefer Sunburnt. I've started using Python recently as well, and really like the package and how it enables functionality that maps logically on top of Solr. Just like Python, it does what you need it to do and doesn't get in your way.
I haven't been able to find a good library that was nice to use and was maintained and actively supported. I started working on a new python client that I plan to keep up to date with new python and Solr releases. I am still rolling in new features, but it is usable and generally stable.
Check it out here:
https://github.com/moonlitesolutions/SolrClient