Managing Anaconda Environments

Listing Available Environments

To view all your Conda environments, use:

conda env list

Configuring Conda Package Sources

Optimize your package downloads by adding mirrors. For example, to add Tsinghua University's mirror:

conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
conda config --set show_channel_urls yes

Verifying Configuration

Check your current Conda configuraton with:

conda info

Testing Package Installation

Verify that your source changes are working by attempting to install a package:

conda install

Creating New Environments

Create a new environment with specific Python version and packages:

conda create -n myenv python=3.9 numpy pandas

Switching Between Environments

Activate an environment to use it:

activate myenv

Deactivating Current Environment

Exit the current environment:

deactivate

Cloning Environments

Duplicate an existing environment with all its packages:

conda create --name new_env --clone existing_env

Removing Environments

Delete an environment and all its packages:

conda remove -n env_name --all

Configuring Pip Sources

Setting Up Pip Configuration

Create a pip configuration file for faster downloads. First, create a directory in your user profile:

mkdir %USERPROFILE%\pip

Then create a pip.ini file in that directory with the following content:

[global]
index-url=https://pypi.tuna.tsinghua.edu.cn/simple 
[install]  
trusted-host=pypi.tuna.tsinghua.edu.cn
disable-pip-version-check = true  
timeout = 6000

Updating Pip

Ensure you have the latest pip version:

python -m pip install --upgrade pip

Integrating Environments with Jupyter

Preparing the Environment

First, activate the environment you want to add to Jupyter:

activate your_env_name

Installing IPython Kernel

Install the necesssary package to make your environment available to Jupyter:

pip install --user ipykernel

Adding Environment to Jupyter

Register your environment as a Jupyter kernel:

python -m ipykernel install --user --name=your_env_name

If you see a message like "Installed kernelspec your_env_name in /home/user/.local/share/jupyter/kernels/your_env_name", the environment was successfully added.

Removing Environments from Jupyter

List available kernels:

jupyter kernelspec list

Remove a specific kernel:

jupyter kernelspec uninstall kernel_name