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    <p>It's rather clunky to read each value one at a time, but it's natural in M- to read them all at once and then process each one. </p> <p>Here's a simple infrastructure I use all the time: </p> <pre><code>(* step one: get data *) data = Import["ideone_fM0rs.txt", "Lines"]; (* step two: ??? *) res = {}; Module[{value, result}, value = #; result = yourCodeHere[value]; AppendTo[res, result]; ]&amp; /@ data; (* step three: PROFIT! *) Export["out.txt", res, "Lines"]; </code></pre> <p>but see Jon McLoone on AppendTo vs Sow/Reap for large data sets: <a href="http://blog.wolfram.com/2011/12/07/10-tips-for-writing-fast-mathematica-code" rel="nofollow">http://blog.wolfram.com/2011/12/07/10-tips-for-writing-fast-mathematica-code</a>. </p> <p>Here's a variation with Sow/Reap for the times you'd like to collect values under various tags or categories or genuses or whatever:</p> <pre><code>data = Import["ideone_fM0rs.txt", "Lines"]; res = Reap[Module[{value, result, tag}, value = #; result = yourCodeHere[value]; tag = generateTag[value] Sow[result, tag]; ]&amp; /@ data, _, Rule][[2]]; Export["out.txt", res, "Lines"]; </code></pre> <p>It's tempting to roll all that up into a single awe-inspiring one-liner, but for maintainability I like to keep it unrolled with each step made explicit.</p> <p>Of course, yourCodeHere[value] could instead be many lines of well-commented code.</p> <p>Note: I downloaded your data to a local file <code>ideone_fM0rs.txt</code> using the download link at <a href="http://ideone.com/fM0rs" rel="nofollow">http://ideone.com/fM0rs</a></p>
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