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pg_restore --verbose --clean --no-acl --no-owner -U {user} -h {host} -d {database_name} -p {port} {file_name}

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Python-SPSS Scripting

The following documentation provides samples and instructions on how to get a Python script working with SPSS.

Standalone Scripts

Scripts can be ran outside of the SPSS GUI through the command prompt by using Modeler Batch/Clemb. Standalone scripts can also be ran through the SPSS GUI using standalone script. Tools > Standalone Script

Running a script using Clemb

Modeler Batch or Clemb is included with Modeler Client. It is not a separate install. If you have Modeler client you can use the clemb.exe that is in the bin folder and run against the local server. You can find the executable here: <path to spss program directory>\Modeler\18.0\bin\clemb.exe

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Delete remote
git push origin --delete <branchName>

Pull from new remote branch
git branch --set-upstream-to=origin/branch_name

Push to new remote branch
git push --set-upstream origin branch_name

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User.find_each { |u| u.avatar.reprocess! }

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Setup folder structure

$ sudo su postgres

$ cd ~

$ mkdir -p backups/{daily,weekly,monthly,yearly} scripts

Install and Configure AWS

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Unicorn stop/start/restart:
/etc/init.d/unicorn_myapp stop

Nginx:
sudo service nginx start

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User.find_each { |u| u.avatar.reprocess! }

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gibbon

Gibbon is an API wrapper for MailChimp's Primary and Export APIs.

##Important Notes

Gibbon now targets MailChimp API 2.0, which is substantially different from API 1.3. Please use Gibbon 0.4.6 if you need to use API 1.3.

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bin/bundle exec rails runner -e production "eval(File.read 'file.rb')"

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#Post
curl -i -X POST -d paramater1="1" -d paramater2="ABC" http://api.example.com/resource