how can i switch using pip between system and anaconda

Find your anaconda directory, and find the actual venv folder. It should be somewhere like /anaconda/envs/venv_name/. ,Run conda install pip. This will install pip to your venv directory. ,I am trying to install packages from pip to a fresh environment (virtual) created using anaconda. In the Anaconda docs it says this is perfectly fine. It is done the same way as for virtualenv. ,Run conda create -n venv_name and source activate venv_name, where venv_name is the name of your virtual environment.

I created an empty environment in Ananconda like this:

conda create - n shrink_venv

Activate it:

source activate shrink_venv

I then can see in the terminal that I am working in my env (shrink_venv). Problem is coming up, when I try to install a package using pip:

(shrink_venv): pip install Pillow

Requirement already satisfied(use--upgrade to upgrade): Pillow in /Library/Python / 2.7 / site - packages

Suggestion : 2

Last Updated : 21 Aug, 2021,GATE CS 2021 Syllabus

Open Anaconda Command prompt as administrator
Use cd\ to come out of set directory or path.
Run pip install command.

pip install numpy
pip install scikit - learn

Self Upgrade related packages to the downloading package.
Open Anaconda Command prompt as administrator.
Then run conda install -c conda-forge ____

conda install - c conda - forge opencv

Suggestion : 3

You can do this by way of a .ps1 script with the following line (assuming Anaconda is in D:\Anaconda3):

& 'D:\Anaconda3\shell\condabin\conda-hook.ps1';
conda activate 'D:\Anaconda3'

Fortunately, there is a workaround for VS Code. Edit the .vscode/settings.json file for your project, and add the following setting:

"terminal.integrated.shellArgs.windows": "-ExecutionPolicy ByPass -NoExit -Command \"& 'D:\\Anaconda3\\shell\\condabin\\conda-hook.ps1' ; conda activate 'D:\\Anaconda3' \""

Suggestion : 4

Issues may arise when using pip and conda together. When combining conda and pip, it is best to use an isolated conda environment. Only after conda has been used to install as many packages as possible should pip be used to install any remaining software. If modifications are needed to the environment, it is best to create a new environment rather than running conda after pip. When appropriate, conda and pip requirements should be stored in text files.,This type of script file can be part of a conda package, in which case these environment variables become active when an environment containing that package is activated.,If any of these occur, all you need to do is update the contents of your environment.yml file accordingly and then run the following command:,There are a few things to be aware of when placing conda environments outside of the default envs folder.

conda create--name myenv

proceed([y] / n) ?

conda create - n myenv python = 3.9

conda create - n myenv scipy

conda create - n myenv python
conda install - n myenv scipy

conda create - n myenv scipy = 0.17 .3

Suggestion : 5

If you’re using Anaconda or Miniconda, you can install the package from the conda-forge channel, which has up-to-date packages for Linux, Windows and macOS.,Though it’s possible to install Scrapy on Windows using pip, we recommend you to install Anaconda or Miniconda and use the package from the conda-forge channel, which will avoid most installation issues.,Check the installation details and make sure following packages are selected as optional components:,Once you have created a virtual environment, you can install Scrapy inside it with pip, just like any other Python package. (See platform-specific guides below for non-Python dependencies that you may need to install beforehand).

conda install - c conda - forge scrapy

pip install Scrapy

sudo apt - get install python3 python3 - dev python3 - pip libxml2 - dev libxslt1 - dev zlib1g - dev libffi - dev libssl - dev

pip install scrapy

xcode - select--install

echo "export PATH=/usr/local/bin:/usr/local/sbin:$PATH" >> ~/.bashrc