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I want to use data of Firebase Real Time database locally for my project, Is there any way to download data in json from Firebase Real Time database using python script?
It is not 100% clear if your question is about the Firebase Real Time database (as the tags of your question show) or about Firebase Storage (https://firebase.google.com/docs/storage/).
If your question is about the Realtime Database, you could use the Realtime Database REST API, which returns data from the database in JSON format.
The documentation for retrieving data is here: https://firebase.google.com/docs/database/rest/retrieve-data
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I am new to aws and API calls. I would like to request Product inforamation such as title, price and stock.
SellerId, MWSAuthToken, AWSAccessKeyId and Secret Key is already known and functioning in Amazon MWS Scratchpad.
I would like to use pyhton and boto3 to get those informations.
T tried using the Amazon MWS Scratchpad and got some of the information i need, but i want to create a script which will do all those reading automated.
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I have written an app in Python that accesses a Google Sheet, gathers some data and writes the data back to the sheet. It works. I am wondering about how I get the end user to create a credentials file for their sheet so the program can read and write to their file. Is the best way just to walk them through creating the JSON file and turning on sharing? It seems a little techy for a typical user.
You need to go through the OAuth process and provide an OAuth token when your application needs to modify another user's sheet.
You can find more information here: https://developers.google.com/sheets/api/guides/authorizing#OAuth2Authorizing
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Please tell the code to write dataframe having 2 columns in Json format in postman and post to it server using flask request
Create your needed DataFrame with the data in the python console and either pickler it or convert it to json. I recommend the latter.
If you pickled it then send it as payload using postman and deserialize it on server side to DataFrame.
If you converted it to json then just use
pandas.read_json()
and get the json in DataFrame format.
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I have Python code that I want to use a lot of credentials and some "metadata" about each one of them (e.g. db credentials then I wand also store with it the tables I want to replicate)
What is the best way to store all this info with high level encryption?
Found the answer:
I wrote a yaml file with all those credentials.
I created KMS key
I upload this file to S3
When I uploaded the yaml file I chose Server Side encryption (AWS KMS, Step 7)
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Is there any known way to do realtime collaboration stuff (like Google Docs) in Python (not thru the browser)? I'm working on a program, and would like to add said feature to it.
Thanks
You can try Dweet, which is a service that stores JSON data in key values pairs. You can use one of the client libraries listed on their website or you could simply make a request like so:
urllib.urlopen('https://dweet.io/dweet/for/my-thing-name?dweet=awesome')