Am 04.09.16 um 10:29 schrieb Nobody:
On Fri, 02 Sep 2016 18:18:08 +0200, Christian Gollwitzer wrote:
1e26 denotes a *floating point number* Floating point has finite
precision, in CPython it is a 64bit IEEE number. The largest exact
integer there is 2**53 (~10^16), everything beyond cannot be a
On Fri, 02 Sep 2016 18:18:08 +0200, Christian Gollwitzer wrote:
> 1e26 denotes a *floating point number* Floating point has finite
> precision, in CPython it is a 64bit IEEE number. The largest exact
> integer there is 2**53 (~10^16), everything beyond cannot be accurately
> represented.
Uh, t
Am 03.09.16 um 02:31 schrieb Marco Sulla:
On 2 September 2016 at 21:12, Christian Gollwitzer wrote:
Am 02.09.16 um 19:24 schrieb Marco Sulla:
Because Python has no long double type?
Python no of course, but C++ yes, and CPython is written in C++.
However, I think the answer is here:
https://e
On 3 September 2016 at 02:31, Marco Sulla
wrote:
> Python no of course, but C++ yes, and CPython is written in C++.
Sorry, I just founded CppPython...
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On 2 September 2016 at 21:12, Christian Gollwitzer wrote:
> Am 02.09.16 um 19:24 schrieb Marco Sulla:
> Because Python has no long double type?
Python no of course, but C++ yes, and CPython is written in C++.
However, I think the answer is here:
https://en.wikipedia.org/wiki/Long_double#Implement
On 2016-09-02 20:47, Random832 wrote:
On Fri, Sep 2, 2016, at 15:12, Christian Gollwitzer wrote:
Tradition? All languages I know of treat a number with an exponent as
floating point.
Scheme does allow you to give integers (and rationals) in decimal and/or
exponential notation with the "#e" pre
On Fri, Sep 2, 2016, at 15:12, Christian Gollwitzer wrote:
> Tradition? All languages I know of treat a number with an exponent as
> floating point.
Scheme does allow you to give integers (and rationals) in decimal and/or
exponential notation with the "#e" prefix.
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Christian Gollwitzer :
> Am 02.09.16 um 19:24 schrieb Marco Sulla:
>> float has an 'exponentfloat' syntax. Why integers does not have an
>> equivalent syntax?
>
> Tradition? All languages I know of treat a number with an exponent as
> floating point.
Approximate real numbers are mostly needed by
Am 02.09.16 um 19:24 schrieb Marco Sulla:
Excuse me, I forgot to include the python list mail addess. I repost the mail.
On Fri, Sep 2, 2016 at 6:18 PM, Christian Gollwitzer wrote:
1e26 denotes a *floating point number* Floating point has finite precision,
in CPython it is a 64bit IEEE numb
On Fri, Sep 2, 2016, at 13:02, Marco Sulla wrote:
> On Fri, Sep 2, 2016 at 6:17 PM, Random832 wrote:
> > Trying to add 1 gets it rounded off again, and the value is simply
> > printed as 1e+26 by default because this is the shortest representation
> > that gives the same number, even if "1
Excuse me, I forgot to include the python list mail addess. I repost the mail.
On Fri, Sep 2, 2016 at 6:18 PM, Christian Gollwitzer wrote:
> 1e26 denotes a *floating point number* Floating point has finite precision,
> in CPython it is a 64bit IEEE number. The largest exact integer there is
>
Am 02.09.16 um 17:51 schrieb Marco Sulla:
10**26 - 1
99
1e26 - 1
1e+26
10**26 is computed with integer arithmetics. Python has bigints (i.e. as
big as the memory allows)
1e26 denotes a *floating point number* Floating point has finite
precision, in CPython it is
On Fri, Sep 2, 2016, at 11:51, Marco Sulla wrote:
> >>> 10**26 - 1
> 99
> >>> 1e26 - 1
> 1e+26
>
>
> Why?
Exponential notation creates floating point numbers, which have a
limited amount of precision in binary.
Specifically (on my system which, as most modern computer
>>> 10**26 - 1
99
>>> 1e26 - 1
1e+26
Why?
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