On Git Bash, ı need to yarn start command but the yarn command wasn't found. What should ı do? (I am using windows 10 operating system)
The problem is solved by installing yarn package
Here is the link you can install
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I have installed Anaconda since it was recommended to use in the OpenMDAO's website. After that I typed pip install 'openmdao[all]' as instructed. However I get an error message saying, "ERROR: Invalid requirement: "'openmdao[all]'"" I was wondering how can I solve this issue. I have no knowledge about the Python or anaconda therefore I don't have a clue what to do about this situation. I searched the internet however I didn't find a solution to this. Thanks in advance!
It's possible you're running the wrong pip executable. Try which pip - it should be located under your home directory instead of a system path such as /bin/pip or /usr/bin/pip.
Make sure you've created and activated an environment in Anaconda:
conda create -n myenv pip
conda activate myenv
python -m pip install 'openmdao[all]'
That command sequence will give the highest chance of success. The single quotes are required for shells like zsh.
Remove the single quotes:
pip install openmdao[all]
I'm following the Django installation tutorial for Windows. I ran the installation command below and it worked fine.
pip install virtualenvwrapper-win
However, when I try running mkvirtualenv myproject I get an error saying bash: mkvirtualenv: command not found
I am running Git Bash on Windows. I found a solution for the Windows Command Prompt here, but I was hoping to use Git Bash, because I'm much more familiar with it.
Thanks!
Maybe it is too late to answer this, but let me put my anser here anyhow.
I ran the pip install command twice, and finally everything is working for me. Just run "pip install" line this:
First do it: "pip install virtualenv virtualenvwrapper"
Second, do it: "pip install virtualenvwrapper-win"
Everything should be fine after that.
I'm looking to use the ospc taxcalc package in a Google Datalab notebook. This package must be installed via conda.
Datalab doesn't have conda by default, so this method (from https://stackoverflow.com/a/33176085/1840471) fails:
%%bash
conda install -c ospc taxcalc
Installing via pip also doesn't work:
%%bash
pip install conda
conda install -c ospc taxcalc
ERROR: The install method you used for conda--probably either pip install conda or easy_install conda--is not compatible with using conda as an application. If your intention is to install conda as a standalone application, currently supported install methods include the Anaconda installer and the miniconda installer. You can download the miniconda installer from https://conda.io/miniconda.html.
Following that URL, I tried this:
%%bash
wget https://repo.continuum.io/miniconda/Miniconda2-latest-Linux-x86_64.sh
bash Miniconda2-latest-Linux-x86_64.sh
wget works, but the bash command to install just kept in "Running..." state for seeming perpetuity.
This seems to be due to the conda installer prompting for several Enter keystrokes to review the license, and then for a yes indicating acceptance of the license terms. So conda's silent mode installation looked promising:
%%bash
bash Miniconda2-latest-Linux-x86_64.sh -u -b -p $HOME/miniconda
This produced the following warning:
WARNING: You currently have a PYTHONPATH environment variable set. This may cause unexpected behavior when running the Python interpreter in Miniconda2. For best results, please verify that your PYTHONPATH only points to directories of packages that are compatible with the Python interpreter in Miniconda2: /content/miniconda
And doesn't make available the conda command:
%%bash
conda install -c ospc taxcalc
bash: line 1: conda: command not found
There is a pending github issue tracking this work - https://github.com/googledatalab/datalab/issues/1376
I believe we will need to install conda and use that for python, pip and all other python packages, and in the interim it may not be possible to mix the two python environments. However someone with more experience with conda might know otherwise.
As of the 2018-02-21 release, Datalab supports Conda and kernels are each in their own Conda environment.
1) I installed virtualenv using pip.
2) I ran the command virtualenv venv
3) Then I ran source venv/bin/activate but it says that there is no such file or directory.
When I cd into venv/bin I find 3 things - python, python 2.7, and python 3.5. Does anyone know the problem?
i have had the same problem. and what i did is just run the command
virtualenv env
again. And then more files were generated under directory env/bin, including the activate file. it's so weird.
I solved the similar problem running python3.7 -m venv venv, you can change for your version of python that is installed in your enviroment.
According to Python doc, the installation step is
$ python3 -m pip install --user virtualenv
$ python3 -m venv env
The last command gives a warning message,
The virtual environment was not created successfully because ensurepip is not
available. On Debian/Ubuntu systems, you need to install the python3-venv
package using the following command.
apt-get install python3-venv
You may need to use sudo with that command. After installing the python3-venv
package, recreate your virtual environment.
$ sudo apt-get install python3-venv
Now, activate is available.
I solved a similar problem by naming it venv2 when I ran virtualenv. I already had a virtual environment named venv for another project. This allowed me to proceed.
I experienced this problem when using the --upgrade option. Removed the option, and all ran as expected.
I double it is caused by some networking issue, I run it twice to get 'activate' script installed. Maybe first it can't connect to some source so it just abort installation.
I had this happen on rasbian when I hadn't installed python3-pip before creating the venv.
So I installed Anaconda on my Ubuntu linux 12.04LTS x64 box. It seems to work fine except for this. So I created a conda environment using the
conda create -n py33dev python=3 anaconda
When I try to run the ipython shell, I would expect to get the Ipython3 shell and notebook. However, it still loads the ipython 2.7.6 shell. I tried using the ipython3 command, but it will then load an ipython3 shell from my computer and not from Anaconda.
I tried to install ipython3 to the Anaconda environment using
pip install ipython3
and
conda install ipython3
However, when I do this I just get a message saying "No packages found matching: ipython3"
So I am not sure why Anaconda runs fine with python2 but not with python3--even though Continuum indicates it is python3 ready. Am I missing a step anywhere? Does anyone know how to solve this?
Did you remember to do "source activate py33dev"?