I am working on Jetson Nano and trying to control servo motors. I am using PCA9685. I have installed all the pre-requisites for that
sudo pip3 install adafruit-circuitpython-servokit
Faced an error called
SyntaxError: future feature annotations is not defined
i updated python for that and the issue was resolved. Now the issue is that when i use python 3.8 as an interpreter in Visual studio i face the error
No module name adafruit_servokit
But when i use the python 3.6, the adafruit_servokit error is solved and the annotation error arises.
Looking forward to every suggestion. Thank you
This is because you have conflicting interpreters for your python installation.
Inside your Visual Studio terminal, try using:
python3.8 -m pip install adafruit-circuitpython-servokit
Using python -m pip install instead of just pip install is recommended. The reason is that it will use the correct interpreter for your python installation, specially if you have many versions installed. More details here: https://snarky.ca/why-you-should-use-python-m-pip/
---EDIT---
You should replace python3.8 with your target version number.
Related
I was previously running into environment inconsistencies after downloading tensorflow with pip in a conda environment, and after several hours of frustration, decided deleting anaconda/miniconda and python and starting from scratch would be my best option to get python working again (The inconsistencies were causing a plethora of issues with loading other modules like numpy, etc).
After downloading Python version 3.9.10 directly from https://www.python.org/downloads/macos/, I wanted to see if I could start using Python again in a Jupyter notebook in VS Code. When I try to run a simple print('hello world') in a python chunk I (unsurprisingly) get the following error:
Jupyter cannot be started. Error attempting to locate jupyter: Running cells with 'Python 3.9.10 64-bit' requires notebook package.
Run the following command to install 'jupyter and notebook' into the Python environment.
Command: 'python -m pip install jupyter notebook -U'
I was pretty much expecting this error, since I knew I had deleted all packages when deleting Anaconda and Python.
However, when I try running python -m pip install jupyter notebook -U in the terminal I ultimately get the following error:
xcrun: error: invalid active developer path (/Library/Developer/CommandLineTools), missing xcrun at: /Library/Developer/CommandLineTools/usr/bin/xcrun
error: command '/usr/bin/gcc' failed with exit code 1
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
error: legacy-install-failure
× Encountered error while trying to install package.
╰─> psutil
note: This is an issue with the package mentioned above, not pip.
Any help or insight is greatly appreciated! I am on MacOS (M1) if that is useful information.
The problem seems to be with the python3 distribution that comes with MacOSX Command Line Tools. Well, at least that same error was gone after following these steps.
So, to fix the problem I installed python3.9 (I presume you can change 3.9 to your desired version, e.g. 3.8 or 3.10) using Homebrew.
Install Homebrew (to check if it's installed already just type brew --version in the terminal):
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
Install python3.9
brew install python#3.9
Create your virtual environment
python3.9 -m venv myvenv
Activate the virtual environment with source myvenv/bin/activate
Finally, install Jupyter using
(myvenv) pip install jupyter notebook
I have the same problem when installing the Jupyter notebook on MacOS 12.5 M2 chip. It turns out that the error is caused by not having GCC on my mac to run the wheel for installing the psutil package because for some reason I removed my XCode from my Mac. So I installed XCode from AppStore and opened XCode after the installation to agree to its terms and conditions. After Xcode went through the setup process I tried pip install jupyter again and it worked well.
In my case, I just opened the XCode, accept the terms and the installation proposed, and tried to install the jupyter again and it worked!
It seems to be very particular about the version of python installed. I set up a fresh installation on a new box this morning and put 3.11 on there. pip install jupyterlabs gave me the same error as you got. I then uninstalled python and installed an earlier version, and now it works.
PS the older version that worked for me is 3.10.8
libdoc2testbench is a tool of Robot Framework which supports importing test results to imbus testbench. Due to Robot Framework documentation, it is to be installed by
pip install robotframework-libdoc2testbench
I want to install it on Ubuntu 18.04; there I get the error:
Could not find a version that satisfies the requirement robotframework-libdoc2testbench (from versions: )
No matching distribution found for robotframework-libdoc2testbench
Best regards
Gerhard
You are probably calling pip from Python 2.7.
Make sure you use Python 3, for example with:
python3 -m pip install robotframework-libdoc2testbench
EDIT: You can download the .wheel or source tar from pypi.org and install with pip pointing to it (and then if needed, download other required packages).
However the solution to your problem is the Python version. From the project page, we see it needs Python 3.7.
I would like to install custom library cdata for python. This library enables connection over C4C Hybris.
Unfortunately, system generates the following error while pip list (of anaconda) shows this library installed :
error image
cdata library is installed in anaconda
Faced the same problem while installing a different package, must be because of 2 different versions of python installed in your system. One solution is -
Uninstall Python from Control Panel
Uninstall Pycharm
Reinstall the latest version of both.
Better solution is changing the interpreter for that, you should go to Pycharm --> file> settings> project>project interpreter.
If there is another Python Instance, it should be up there, change it to that one. If its not in the list, click on the button that looks like Asterik/star (next to project interpreter).
CHange the interpreter.
conda update conda
python -m pip install --upgrade pip
No errors will be observed thereafter.
Moreover, read about Anaconda Virtual Envs, it will help you in long tun.
I am confused about different python versions on my Computer and in Anaconda.
First: I use an iMac (OSX Catalina).I sometimes use the command line (Terminal on my iMac) directly and sometimes I use Anaconda Navigator (for example when I want to work with Jupyter Notebooks).
When I type python3 --version, I get the answer that I have python 3.8.0 installed. But recently, I installed the latest pip version with pip3 --user --upgrade pip. The answer I got was:
WARNING: pip is being invoked by an old script wrapper. This will fail in a future version of pip.
Please see https://github.com/pypa/pip/issues/5599 for advice on fixing the underlying issue.
To avoid this problem you can invoke Python with '-m pip' instead of running pip directly.
pip 20.0.2 from /Users/Andrea_5K/Library/Python/3.7/lib/python/site-packages/pip (python 3.7)
I wondered why in this message python 3.7 is referenced.
When I check my Library/Python folder in my user folder I see that I have a 3.7 folder and a 3.8 folder as well. Is there something wrong? Is pip 20.0.2 now installed on python 3.7 although I use python 3.8? And what does the WARNING message mean?
I'm hesitating whether to downgrade to Python 3.6 or install a new version of TensorFlow.
Does TensorFlow 1.9 support Python 3.7?
I was able to install Tensorflow 1.12.0 with Python 3.7 on MacOS, with the following command.
sudo python3 -m pip install --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.12.0-py3-none-any.whl
Not yet. It seems there are some variables named "async", which has become a keyword in 3.7. Shouldn't be too difficult to fix, but still a problem.
Source: https://github.com/tensorflow/tensorflow/issues/20444
Probably not yet.
First of all, you will probably get a SyntaxError: invalid syntax because some parameters and variables at the pywrap_tensorflow_internal.py module have the name async which is a reserved keyword in Python 3.7.0 (see also this post).
However, you can solve this by simply changing the name of all these (Ctrl + R and Replace All) from async to for example async1.
The problem is that then you will probably get a ImportError: No module named '_pywrap_tensorflow_internal' which perhaps may be fixed for any previous version before Python 3.7.0 as this post on StackOverflow suggests but personally I could not fix it on my laptop with Python 3.7.0 .
Consequently, I simply downgraded to Python 3.6.6 and now Tensorflow is working fine.
There is a whl built here. However in my run it was cpu version.
https://www.lfd.uci.edu/~gohlke/pythonlibs/
as of Aug 26tH, there is an update on the tensorflow github site
https://github.com/tensorflow/tensorflow/pull/21202
Tensorflow 1.13.1 now supports Python 3.7.
According to the comments on github
see
https://github.com/tensorflow/tensorflow/issues/20517#issuecomment-457185528
by member av8ramit
"We are aiming to try and have Windows and Ubuntu python binaries by rc2 or the official."
the estimated release date for 2019-02-03
however on
https://github.com/winpython/winpython/issues/687
one can read from a winpython contributor:
"Tensorflow-2 is 2019, Tensorflow-1 on Python-3.7 is still not in sight"
Finally Worked for me!
On Python 3.6.4 (even 3.6.5 failed for me)
Install Python3.6.4 from here:
https://www.python.org/downloads/mac-osx/
If you're facing issues with Python pkgs that you already had on you older version just revert it using this post:
python location on mac osx
I found this to work after searching for a while.
As Tensorflow only supports Python 3.6 as of now, you can install a different version of python alongside your standard one. Here are the steps I followed:
Download the Python3.6 tgz file from the official website (eg. Python-3.6.6.tgz)
Unpack it with tar -xvzf Python-3.6.6.tgz
cd Python-3.6.6
run ./configure
run make altinstall to install it (install vs altinstall explanation here Difference in details between "make install" and "make altinstall")
You'll normally find your new python install under /usr/local/bin. Now you can create a new virtualenv specifying the python version with:
virtualenv --python=python3.6 env3.6
Get into the virtualenv running the command source env3.6/source/bin/activate.
Install tensorflow with the classic pip install tensorflow
Profit
First of all,
*conda create -n yourenvname python=3.6
*conda activate yourenvname
*pip install tensorflow
then it will work like rock.