I know that pip3 refers to python3 and pip refers to python2.
When I use anaconda environment and set the python version as 3.5, I install a package names itchat as following.
pip3 install itchat
The installation goes on successfully without any errors.
But when I type the following commands, strange things happen.
But if I just use pip install itchat and type python instead of python3, things go on as I think.
I am wondering what leads to this result.
Why there is the difference between python and python3?
Thanks for providing your answers!
I don't see you using conda environment.
Create an environment
conda create -n myenv
activate the envinronment:
conda activate myenv
and then install the package
conda install itchat
or
pip install itchat
Related
I am using a conda environment to install a package and this package have dependencies that's not available in conda, so I have to use pip to install some additional packages in the conda environment. After I did all these:
I tested both:
pip list
and
conda list
And found that some dependencies occur in pip list but not in conda list. Is this OK? Do the packages installed by pip in conda enviroment also effect in this envorment?
Yes, I use a combination of pip install and conda install when setting up the environment for a project I'm working on. It works fine.
However, it is documented here that this combination can lead to issues: https://www.anaconda.com/blog/using-pip-in-a-conda-environment
According to that doc, you ought to first use conda to install as many of your packages as possible, then use pip to install the rest afterwards.
I have a problem with the management of my environnements on Anaconda. I want to have three environnements, a "classic", another with ortools and a last with django. However, ortools can't be installed by using "conda install ortools", then i have to use pip. My problem is that when i use "pip install --user ortools" in the right environnement it install this package for all my environnements which have the same version of python than the right environnement. How could I fix this ?
Thanks !
#lucidbrot is correct in their comment. You should not use the --user argument in pip, because that will install into your $HOME directory, which every environment can access.
Here is a series of commands you can use to set up multiple environments, one with ortools
conda create --name ortools-env python=3
conda activate ortools-env
python -m pip install --no-cache-dir ortools
python -c "import ortools" # No error.
conda create --name django-env python=3 django
conda activate django-env
python -c "import ortools" # Error: module not found
For reference, the above code uses conda version 4.8.2
I have installed a fresh anaconda v4.4. I realized that python packages can be installed using both conda and pip. What is the effect of using pip to install python packages instead of conda when using anaconda? Will the pip-installed libraries cease to function? I am using python v3
EDIT: I don't think the question is a duplicate of What is the difference between pip and conda?
That question explains the difference between pip and conda but does not talk about the effect of using pip when conda can be used.
Everything might keep working if you use pip to install vs conda. However, Conda cannot manage dependencies that pip has installed - it cannot upgrade them, or remove them. More importantly, conda will install a package even if its already been installed with pip! Try this test:
conda create -n testenv python=3
conda activate testenv
pip install numpy
conda install scipy
You will see from the third command that conda will want to re-install NumPy, even though it has already been installed with pip. This can cause problems if there are C libraries whose linking is different, or something like that. In general, whenever possible, use conda to install packages into conda environments.
I have created one virtual-environment. Inside that I have to install few python packages. For that I need pip package inside virtual environment. How can I install pip inside virtual-environment?
According to the pip documentation, you can install pip in a virtual environment by typing the following command when your virtual environment is activated:
python -m ensurepip --upgrade
For your information, ensurepip is an in-built Python module that serves the purpose of installing pip in your Python environment.
you can also try with upgrading pip command even after no pip installed at you specified virtual location
python -m pip install --upgrade pip
This will give you an error as below but also install latest pip version on virtual location
Can't uninstall 'pip'. No files were found to uninstall.
Successfully installed pip-19.2.3
kindly try above option and let me in case any issue.
Usually, you install pip OUTSIDE of your virtual environment.
But after activating the virtualenv you just run "pip install" inside the environment.
Meaning, you install it outside the virtualenv.
You run "pip install" inside the virtualenv.
You can follow this useful guide:
http://docs.python-guide.org/en/latest/dev/virtualenvs/
When you create a virtual environment for a particular python revision installed in your computer, all the libraries currently installed in your python revision would be copied inside the virtual environment.
Pip is usually default available in your python revision directory.
If not, install it first in your original python install directory.
Then copy the pip.exe to the virtual environment's Scripts directory.
After that execute the below command from your terminal (this is for Windows):
\your_venv_directory_path\Scripts\pip.exe install --upgrade pip
Now you can just type
pip install --upgrade pip
and it should recognise the path to the pip.exe file inside your venv
when creating the virtual-environment, be sure to include pip in the command. e.g:
conda create -n my_env pip python=3.6.8
I would suggest deleting the venv and recreating it using the above command
I have the anaconda distribution of python installed on my machine. Before installing anaconda, i had pip installed. Right now, my system uses the previous version of pip rather than the anaconda version. In particular
arjuns-mbp:~ Arjun$ which pip
/usr/local/bin/pip
arjuns-mbp:~ Arjun$ which easy_install
/Users/Arjun/anaconda/bin/easy_install
arjuns-mbp:~ Arjun$ which python
/Users/Arjun/anaconda/bin/python
The result is that if i call a pip install, it won't add it to my anaconda version of python. So far i haven't had an issue simply using easy_install to add packages to anaconda, but it would be nice to know what causes this discrepancy and how to fix it
EDIT
i tried using conda install pip, it doesn't work. When I do
conda list
pip showed up before and after a conda install
You probably need to conda install pip.
pip should already come with Anaconda automatically. How did you install Anaconda? No matter, though, you can just conda install pip to make sure you have a version of pip that is tied to the Anaconda distribution.
From there you can create environments as much as you like to install whatever new trial-run software tools using conda create -n env_name python pip