Use mojombo's Clippy which can be downloaded from GitHub.

How to create a custom button

• First create your button and save it as a PNG file.
• Change library.xml to use your button.
• Customize the code behind the button by modifying clippy.hx. You can, for example, remove the "Copy to clipboard" label.
• Set the width and height of the button. You have to set it in almost all files (compile.hxml, library.xml, etc).
• Compile the SWF file:

swfmill simple library.xml library.swf && haxe compile.hxml

Alternatives

There are no good alternatives that I know of. I tried ZeroClipboard and other solutions, but they were full of bugs and not customizable.

var Copy2Clipboard = {
  init: function(selector) {
    var btns = document.querySelectorAll(selector);
    for (var i = 0, len = btns.length; i < len; i++) {
      var btn = btns[i]
      btn.addEventListener('click', function(event) {
        var btn = event.target
        try {
          console.debug("click")
          var textarea = document.getElementById(btn.getAttribute('data-target'))
          if (textarea == null) {
            alert("copy-to-clipboard target is undefined")
            return
          }
          textarea.select();
          var successful = document.execCommand && document.execCommand('copy')
          if (successful) {
            btn.innerHTML = 'Copied...'
          } else {
            alert("Press Ctrl+C or Cmd+C to copy")
          }
        } catch (err) {
          console.log('Oops, unable to copy')
        }
      })
    }
  }
}

Copy2Clipboard.init('.copy-to-clipboard')

<textarea id="embed-code">
  This will be copied to the clipboard.

The fastest way of importing data into PostgreSQL is to avoid any additional processing, i.e., use PostgreSQL tools instead of writing scripts in Python or other languages.

This will import the file directly from a file into PostgreSQL:

unzip -p data.csv.gz | PGOPTIONS=-—client-min-messages=warning psql —-no-psqlrc —-set ON_ERROR_STOP=on <db name> —-command="COPY table from STDIN"

You can also add preprocessing easily, such as removal of data with AWK, by piping commands together into a workflow.