<div dir="ltr"><br><br>On Thursday, March 6, 2014 6:36:46 AM UTC-6, Stefan Krah wrote:<blockquote class="gmail_quote" style="margin: 0;margin-left: 0.8ex;border-left: 1px #ccc solid;padding-left: 1ex;"><br>As I understand, you are suggesting some kind of number system with
<br>symbolic representations that can be converted to decimal if needed.
<br>
<br>The topic is so vast that the only chance of it happening is for
<br>someone to provide an implementation on PyPI and see if people
<br>like it. There are packages for symbolic mathematics like sympy,
<br>perhaps that is a start. </blockquote><div><br></div><div> Yes, that is correct (in a way). I will respond to this better when </div><div>I respond to Guido, so be sure to read that post.</div><div> </div><blockquote class="gmail_quote" style="margin: 0;margin-left: 0.8ex;border-left: 1px #ccc solid;padding-left: 1ex;"><br></blockquote><blockquote class="gmail_quote" style="margin: 0;margin-left: 0.8ex;border-left: 1px #ccc solid;padding-left: 1ex;">Regarding decimal literals:
<br>
<br>Possible in 3.x, but it would require some investigation if
<br>people really want arbitrary precision arithmetic by default
<br>rather than e.g. IEEE Decimal64.
<br></blockquote><div><br></div><div> Good. Dialogue is a good thing. Looking forward to it. </div><div><br></div><div><br></div><blockquote class="gmail_quote" style="margin: 0;margin-left: 0.8ex;border-left: 1px #ccc solid;padding-left: 1ex;">Regarding decimal floats by default:
<br>
<br>Perhaps in 4.0, but IMO only with *full* backing by the large SciPy
<br>and NumPy communities. My guess is that it's not going to happen, not
<br>in the least because the literature for floating point algorithms
<br>(with proofs!) has an overwhelming focus on binary floating point.
<br></blockquote><div><br></div><div> I know. Again, when I respond to Guido I'll address this a bit.</div><div><br></div><div> Thanks Stefan, I appreciate your inputs, and your work... keep it up!</div><div><br></div><div>marcus </div></div>