# anaconda 使用

视频教程:[Get Started with Anaconda](https://freelearning.anaconda.cloud/get-started-with-anaconda)

```sh
conda --version
```

列出环境

```sh
conda env list
```

查看conda已安装的依赖

```sh
conda list
```

# Conda Workflow

1. Create an environment
2. Activate an environment
3. Install packages
4. Launch JupyterLab
5. Deactivate an environment

You should always create a new environment for your work. Never work in (base)!

创建环境

```sh
conda create --name example
```

激活环境

```sh
conda activate example
```

使用 conda 安装依赖

```sh
conda install jupyterlab dask pandas hvplot
```

安装 conda-forge

```sh
conda install -c conda-forge condastats
```

开启 jupyter-lab

```sh
jupyter-lab
```

```sh
jupyter notebook
```

```sh
jupyter lab
```

退出当前环境

```sh
conda deactivate
```

## 其他

创建环境时,指定 python 版本

```sh
conda create --name example39 python=3.9
```

导出环境

```sh
conda env export >defaultpy39env.yml
```
0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9