pip conda jupyter common instructions

pip

View pip version

pip --version

Upgrade pip version

python -m pip install --upgrade pip

conda

Check which packages are installed by conda

conda list

View the packages installed in the virtual environment

conda list -n env_name

See which virtual environments currently exist

conda env list 或 conda info -e

Update conda version

conda update conda

Create a virtual environment

conda create -n env_name python=python_version

Activate the virtual environment

activate env_name

Add the virtual environment to the jupyter notebook kernel
1. Download jupyter notebook directly in the virtual environment and add it.
Step 1: Activate the virtual environment and download jupyter notebook in the virtual environment

activate env_name
pip install jupyter notebook

Step 2: Add the virtual environment to the notebook

python -m ipykernel install --user --name=(你想要该虚拟环境在kernel中显示的名字）

2. Method 1 is more troublesome, because you need to download jupyter notebook extra, but our anaconda has jn, so:
Step 1: Activate the virtual environment and download the ipykernel plug-in

activate env_name
(pip)conda install ipykerne

Step 2: Same as Step 2 in Method 1

python -m ipykernel install --user --name=(你想要该虚拟环境在kernel中显示的名字）

Close the virtual environment

deactivate env_name

Delete virtual environment

conda remove -n env_name --all

Delete the package in the virtual environment

conda remove -n env_name package_name

Install the package in a virtual environment

1.先activate env_name 在 pip install package_name
2.直接conda install -n env_name package_name

Update package

conda update -n env_name package_name

Delete package

conda remove -n env_name package_name

Check the version matching of keras and tensorflow

click here

jupyter

Upgrade jupyter notebook

pip install --upgrade jupyter

View all cores of jupyternotebook

jupyter kernelspec list

Delete a kernel

jupyter kernelspec remove kernel_name

View the currently used python version and python path in jupyter notebook

import sys
print(sys.version)
print(sys.executable)

Jupyter shortcut keys

Merge cell

shift ↑\↓(选中多个cell)
shift M

Split cell at cursor

ctrl + shift + -

Find code

esc + F

Hide\show output

esc+O

Common mistakes

Error one:
input sentence: pip install torch
report error: Module Not FoundError: No module named 'tools.nnwrap'
solve: pytorch official website , use the sentence provided by the official website

Error two:
input statement: conda create -n Keras python=python38
report error: PackagesNotFoundError: The following packages are not available from current channels: - python=python38
solve: it should beconda create -n Keras python=3.8

Error three: