An important part of Tensorflow is that it is supposed to be fast. With a suitable installation, it works with CPUs, GPUs, or TPUs. Part of going fast means that it uses different code depending on your hardware. Some CPUs support operations that other CPUs do not, such as vectorized addition (adding multiple variables at … Read more
You can use conda remove –force. The documentation says: –force Forces removal of a package without removing packages that depend on it. Using this option will usually leave your environment in a broken and inconsistent state
In IPython (jupyter) 7.3 and later, there is a magic %pip and %conda command that will install into the current kernel (rather than into the instance of Python that launched the notebook). %pip install geocoder In earlier versions, you need to use sys to fix the problem like in the answer by FlyingZebra1 import sys … Read more
I had the same problem and what worked for me was updating pip with conda: conda install pip It changed my pip from 9.0.1-py36hadba87b_3 to 9.0.1-py36h226ae91_4 and solved issue.
I ran into the same problem and I couldn’t find a solution, but I did find a workaround. If you create an env and activate that env and then do the install, it seems to work just fine. If you don’t need a lot of libraries I would try that. Commands are: Create env conda … Read more
Simply use shift + cmd + P Search Select Interpreter Select it and it will show you the list of your virtual environment created via conda and other python versions select the environment and you are ready to go. Quoting the ‘Select and activate an environment’ docs Selecting an interpreter from the list adds an … Read more
start your command prompt with run as administrator
This can be installed via conda with the command conda install -c anaconda python=3.7 as per https://anaconda.org/anaconda/python. Though not all packages support 3.7 yet, running conda update –all may resolve some dependency failures.
You can give a package name of just “python” to get a base, empty install. conda create –name myenv python conda create –name myenv python=3.4
To find where Anaconda was installed I used the “where” command on the command line in Windows. C:\>where anaconda which for me returned: C:\Users\User-Name\AppData\Local\Continuum\Anaconda2\Scripts\anaconda.exe Which allowed me to find the Anaconda Python interpreter at C:\Users\User-Name\AppData\Local\Continuum\Anaconda2\python.exe to update PyDev