Pip could not find a version that satisfies the requirement 






=>  http://hahalfayno.nnmcloud.ru/d?s=YToyOntzOjc6InJlZmVyZXIiO3M6MjE6Imh0dHA6Ly9iaXRiaW4uaXQyX2RsLyI7czozOiJrZXkiO3M6NTk6IlBpcCBjb3VsZCBub3QgZmluZCBhIHZlcnNpb24gdGhhdCBzYXRpc2ZpZXMgdGhlIHJlcXVpcmVtZW50Ijt9




































This can be fixed by upgrading your pip. Looking in the site-packages directory, I'm not seeing the vast majority of the libs from the list in there.
Which ones I should use for which situations? And from you I know there is Conda?!?!?! In my case I didn't get a 403 error but rather it just created invalid tarball files, instead of actually downloading them.
Altough they didn't work for me, but they might work for you. The library is , and shows up in a search pip search dbfpy. Conda is the installer for this environment, Conda is a packaging tool and installer that aims to do more than what pip does; handle library dependencies outside of the Python packages as well as the Python packages themselves. This would be a particularly opportune time since we're working on our first urban forestry management plan. Tried running pip install again in verbose mode to see what might be going on and got a long stream of errors. Normally two versions means you need to include 3. I'm following along with the Vagrant-based install guide which has been great by the way! Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Sometimes you get an error when you're trying to install a Python package using pip. Please read the rules and guidelines below and before posting. Thanks Andrew, From what I gathered doing some research starting with Alan's link, django-celery requires pytz, but doesn't specify a version number.
Installing OpenCV via `pip`fails. : learnpython - Rather than gunk up the thread with too much pasted text, I'm just attaching the whole file here.
I have been looking to this issues here. I'd remove what you have: sudo apt-get autoremove libopencv-dev python-opencv and use Anaconda which will not work with Python 3. Unless you're doing some serious computer vision and willing to use Python 2. It's much easier to get to. The cam is on server not on the client. And from you I know there is Conda?!?!. Which ones I should use for which situations. Conda is the installer for this environment, Conda is a packaging tool and installer that aims to do more than what pip does; handle library dependencies outside of the Python packages as well as the Python packages themselves. Conda also creates a virtual environment, like virtualenv does. Handling packages is a pain. If it's not in Anaconda, then that's a good argument to find an alternative that's already included.