Is there a pip equivalent of "python setup.py develop"?
On Tue, Oct 27, 2015 at 5:33 PM Charles R Harris
wrote:
> On Tue, Oct 27, 2015 at 12:08 AM, Nathaniel Smith wrote:
>
>> On Mon, Oct 26, 2015 at 11:03 PM, Charles R Harris
>> wrote:
>> >
>> [...]
>> > I gave it a shot the other day. Pip ke
On Tue, Oct 27, 2015 at 12:08 AM, Nathaniel Smith wrote:
> On Mon, Oct 26, 2015 at 11:03 PM, Charles R Harris
> wrote:
> >
> [...]
> > I gave it a shot the other day. Pip keeps a record of the path to the
> repo
> > and in order to cleanup I needed to search out the file and delete the
> repo
>
On Mon, Oct 26, 2015 at 11:03 PM, Charles R Harris
wrote:
>
[...]
> I gave it a shot the other day. Pip keeps a record of the path to the repo
> and in order to cleanup I needed to search out the file and delete the repo
> path. There is probably a better way to do that, but it didn't strike me as
On Mon, Oct 26, 2015 at 10:31 PM, Nathaniel Smith wrote:
> Hi all,
>
> Apparently it is not well known that if you have a Python project
> source tree (e.g., a numpy checkout), then the correct way to install
> it is NOT to type
>
> python setup.py install # bad and broken!
>
> but rather to
On Mon, Oct 26, 2015 at 9:31 PM, Nathaniel Smith wrote:
[...]
> I believe that this would also break both 'easy_install numpy', and
> attempts to install numpy via the setup_requires= argument to
> setuptools.setup (because setup_requires= implicitly calls
> easy_install). install_requires= would
Hi all,
Apparently it is not well known that if you have a Python project
source tree (e.g., a numpy checkout), then the correct way to install
it is NOT to type
python setup.py install # bad and broken!
but rather to type
pip install .
(I.e., pip install isn't just for packages on pypi
Dear Jaime, dear Travis
thanks for pointing out my stride errors. This just gets me every time. After
trying out Travis’ suggestion to work with numba, I feel that this works best
for me. Functions are easier to generalise to different data types and I can
make use of my existing Python develop
