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I want to tranfer files in around 1000 directories to an Amazon S3 bucket using Pythons S3 package.
How could I do it ?
I like boto,
http://code.google.com/p/boto/
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I use sql server ML(Python) and I have this problem when I use the [Pandas] library to read the file FileNotFoundError occurs
The Part Of Code:
df=pd.read_csv("C:\User\ussser\desktop\File.csv")
Error Picture :
To solve this problem, grant
ALL APPLICATION PACKAGES access to the Your directory.
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What approach should be for below scenario?
I have multiple files and want to copy all files from one directory to other directory and also rename the files like below.
Source Directory: A
example1.txt
example2.txt
example3.txt
Destination Directory:B
example1_19930221.txt
example2_19930221.txt
example3_19930221.txt
command: hadoop distcp /A/* /B/
Use this:
shutil.move(source_path , destination_path.replace(filename, filename + "_19930221"))
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why we should openfaas instead of lambda functions in AWS or other serverless functions by cloud service providers?
The idea is to avoid lock-in to a specific vendor. With Open Faas you can run wherever you want while AWS Lambda is tied to AWS.
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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')
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I've Googled around a bit, but can't find much. This seems rather out of date, and doesn't provide any examples. Is this possible? Should I just shut up and learn C already?