Python fabric module is instaled and I have fabfile_ippbx.py file everythink is instaled.
Commend:
root#rd:/home/pi/apps# fab -f fabfile_ippbx.py main_task
Output:
Can't find any collection named 'fabfile'!
I found it. I use python 3.7, just uninstall:
pip3 uninstall fabric
pip3 install fabric
And it works.
Related
I recently used the following command to update my jupyter packages conda update --all and from then on my visualization libraries wont import(matplotlib and seaborn). I used conda install <pkg> even then it wouldnt. So I reinstalled anaconda3 but same problem persists...
I tried to view sys.executable and found that it was not referencing my python lib in anaconda but in python click here
'c:\\python38\\python.exe' So i used pip3 install matplotlib and matplotlib worked. I want my jupyter to reference to its own lib stack as I cannot install all libraries in python. I want the jupyter to read packages from this path : C:\Users\princ\anaconda3\Lib\site-packages because all anaconda libraries are there. How do I do it? Help me please. The problem is jupyter is referencing python package folder and not pre installed packages in anaconda
SYS.PATH:
'c:\\python38\\python38.zip',
'c:\\python38\\DLLs',
'c:\\python38\\lib',
'c:\\python38',
'',
'C:\\Users\\princ\\AppData\\Roaming\\Python\\Python38\\site-packages',
'c:\\python38\\lib\\site-packages',
'c:\\python38\\lib\\site-packages\\win32',
'c:\\python38\\lib\\site-packages\\win32\\lib',
'c:\\python38\\lib\\site-packages\\Pythonwin',
'c:\\python38\\lib\\site-packages\\IPython\\extensions',
'C:\\Users\\princ\\.ipython']
jupyter kernelspec list
python3 c:\python38\share\jupyter\kernels\python3
Did you tried running pip using directly the python executable with
python.exe -m pip install <pkg>
I don't know if there is a similar way to do it with conda
I have a venv with the following details:
python 3.6
TensorFlow 2.0.0
I tried to install tensorflow-addons using the following:
pip install -q --no-deps tensorflow-addons~=0.6
But then I keep receiving the following error:
Could not find a version that satisfies the requirement tensorflow-addons~=0.6 (from versions: )
No matching distribution found for tensorflow-addons~=0.6
You are using pip version 18.0, however version 19.3.1 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' command.
I also tried other versions of tensorflow-addons, e. g., 0.4.0, 0.5.0, ..., but it did not work out.
I came across this problem two times and each time I had to solve the problem with a different solution.
1. Solution:
Upgrade pip/pip3 by using the following command.
python3 -m pip install --upgrade pip
Select appropriate version of the tensorflow-addons using the
following link
https://github.com/tensorflow/addons#python-op-compatibility-matrix
Install using the following command
pip install tensorflow-addons==version
2. Solution:
go to https://pypi.org/project/tensorflow-addons/#history
click on appropriate version
click on "Download files" on menu to the left
click on a .whl file that matches your system
requirements/specifications
go to the directory where you download the .whl file and run the
following
pip install tensorflow_addons-name.whl
The problem appears to have been related to installing on Windows platforms in the earlier versions of tensorflow-addons. As of time of updating this comment this issue should disappear completely.
In fact the developers state it has been solved, as it is shown here:
FYI stable release for windows is out. pip install tensorflow-addons
https://github.com/tensorflow/addons/issues/173#issuecomment-573106184
At your command prompt, simply specify the version you want to install.
For me, my python version is 3.7.4 and Tensorflow version is 2.2.0
Therefore, the tensorflow-addons version that matches my python and tensorflow version is 0.10.0
pip install tensorflow-addons==0.10.0
Is it possible to install pandas without installing pip or Is there any other way to use pandas without installing pip.
Thanks in advance.
pip is a package management system used to install and manage software packages written in Python. Many packages can be found in the default source for packages and their dependencies
here is the another way:
Download and unzip the current pandapower distribution to your local hard drive.
Open a command prompt (e.g. Start–>cmd on Windows) and navigate to the folder that contains the setup.py file with the command cd
cd %path_to_pandapower%\pandapower-x.x.x\
Install pandapower by running
python setup.py install
You can get pandas installed using the Anaconda distribution, which includes the Anaconda prompt. After you open an anaconda prompt, you can run the following command:
conda install pandas
which will install the latest version of pandas, or:
conda install pandas=0.20.3
to get a specific version of the package. Another way to do it is to install it with Miniconda, which allows you to avoid downloading the Anaconda installer and hundreds of other packages. More information can be found here: https://pandas.pydata.org/pandas-docs/version/0.23.4/install.html
I am trying to install pandas with .whl file in a work computer but I get " cannot fetch URL" error. I have up to date version of PIP installed.How can I get this to work.I'm using Python 3.5.Any help will be appreciated.
I just used the following which was quite simple. First open a console then cd to where you've downloaded your file like some-package.whl and use
pip install some-package.whl
python -m pip install some-package.whl also works if pip is not found in PATH
Note: if pip.exe is not recognized, you may find it in the "Scripts" directory from where python has been installed. If pip is not installed, this page can help:
How do I install pip on Windows?
Note: for clarification
If you copy the *.whl file to your local drive (ex. C:\some-dir\some-file.whl) use the following command line parameters --
pip install C:/some-dir/some-file.whl
I guess since you are on a work computer
try this
sudo pip --proxy=http://username:password#proxyURL:portNumber install yolk
for example:
sudo pip --proxy=http://202.194.64.89:8000 install elasticsearch
202.194.64.89:8000 is my PROXY,
For some reason, I want to use some previous version of tensorflow('tensorflow-**-.whl', not source code on github) and where can I download the previous version and how can I know the corresponding cuda version that is compatible.
It works for me, since I have 1.6
pip install tensorflow==1.5
Find available versions (some example results shown):
$ curl -s https://storage.googleapis.com/tensorflow |xmllint --format - |grep whl
<Key>linux/gpu/tensorflow-0.8.0-cp27-none-linux_x86_64.whl</Key>
<Key>linux/gpu/tensorflow-0.9.0-cp27-none-linux_x86_64.whl</Key>
<Key>linux/gpu/tensorflow-0.11.0-cp27-none-linux_x86_64.whl</Key>
<Key>linux/gpu/tensorflow-0.10.0-cp27-none-linux_x86_64.whl</Key>
You can, of course, filter the results further by piping through additional instances of grep.
Pick the version you want and install for Python with pip...
$ TFVERSION=linux/gpu/tensorflow-0.10.0-cp27-none-linux_x86_64.whl
$ pip install https://storage.googleapis.com/tensorflow/$(TFVERSION)
Note: cp27 in the list above indicates compatibility with Python version 2.7.
The above answer does not work any more.
You can install like this:
curl -s https://storage.googleapis.com/tensorflow |xmllint --format - |grep whl
<Key>linux/gpu/tensorflow-0.8.0-cp27-none-linux_x86_64.whl</Key>
<Key>linux/gpu/tensorflow-0.9.0-cp27-none-linux_x86_64.whl</Key>
<Key>linux/gpu/tensorflow-0.11.0-cp27-none-linux_x86_64.whl</Key>
<Key>linux/gpu/tensorflow-0.10.0-cp27-none-linux_x86_64.whl</Key>
Then pick the model you want.
Then you can run this kind of command :
# Mac OS X, CPU only, Python 2.7:
$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.11.0-py2-none-any.whl
Then install Tensorflow:
# Python 2
$ sudo pip install --upgrade $TF_BINARY_URL
# Python 3
$ sudo pip3 install --upgrade $TF_BINARY_URL
Source: https://www.tensorflow.org/versions/r0.11/get_started/os_setup#download-and-setup
You can do as suggested beforehand and search for available version in tesorflow site but you can't access versions older than available there.
So if you want an earlier version:
go to https://github.com/tensorflow/tensorflow
search for the version you want under branches - for instance r0.11
Then go to the download and setup section. Again, for r0.11: https://github.com/tensorflow/tensorflow/blob/r0.11/tensorflow/g3doc/get_started/os_setup.md and install as described there.
To download an older version of TensorFlow make sure you are using an older version of python as well. Otherwise, you will run into an issue like no version satisfying requirement found.
Create a virtual environment for this and install python==3..5
Use pip install tensorflow==1.4 or so.
Goto https://www.tensorflow.org/versions/
Click on the version you want, for example: https://www.tensorflow.org/versions/r1.1/
Click on install, for example: https://www.tensorflow.org/versions/r1.1/install/
Then follow your preferred way to install
in order to find out available previous versions all you need to do is either use :
pip search tensorflow-gpu or pip search tensorflow
conda search tensorflow-gpu or conda search tensorflow
and to install them even:
pip install tensorflow-gpu==1.15.0 or pip install tensorflow==1.15.0
conda install tensorflow-gpu==1.15.0 or conda install tensorflow==1.15.0
my experience conda search is much much cleaner and easier to find packages.
You can always download the previous version of tensorflow version
from here
Here on the top left you can change the version