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| 4bce73 | Qwas | 2024-10-23 16:13:04 | 1 | # anaconda 使用 |
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| 3 | 视频教程:[Get Started with Anaconda](https://freelearning.anaconda.cloud/get-started-with-anaconda) |
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| 4 | ||||
| 5 | ```sh |
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| 6 | conda --version |
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| 7 | ``` |
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| 8 | ||||
| 9 | 列出环境 |
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| 10 | ||||
| 11 | ```sh |
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| 12 | conda env list |
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| 13 | ``` |
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| 14 | ||||
| 15 | 查看conda已安装的依赖 |
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| 16 | ||||
| 17 | ```sh |
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| 18 | conda list |
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| 19 | ``` |
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| 20 | ||||
| 21 | # Conda Workflow |
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| 22 | ||||
| 23 | 1. Create an environment |
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| 24 | 2. Activate an environment |
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| 25 | 3. Install packages |
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| 26 | 4. Launch JupyterLab |
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| 27 | 5. Deactivate an environment |
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| 28 | ||||
| 29 | You should always create a new environment for your work. Never work in (base)! |
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| 30 | ||||
| 31 | 创建环境 |
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| 32 | ||||
| 33 | ```sh |
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| 34 | conda create --name example |
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| 35 | ``` |
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| 36 | ||||
| 37 | 激活环境 |
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| 38 | ||||
| 39 | ```sh |
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| 40 | conda activate example |
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| 41 | ``` |
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| 42 | ||||
| 43 | 使用 conda 安装依赖 |
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| 44 | ||||
| 45 | ```sh |
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| 46 | conda install jupyterlab dask pandas hvplot |
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| 47 | ``` |
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| 48 | ||||
| 49 | 安装 conda-forge |
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| 50 | ||||
| 51 | ```sh |
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| 52 | conda install -c conda-forge condastats |
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| 53 | ``` |
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| 54 | ||||
| 55 | 开启 jupyter-lab |
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| 56 | ||||
| 57 | ```sh |
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| 58 | jupyter-lab |
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| 59 | ``` |
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| 60 | ||||
| 61 | ```sh |
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| 62 | jupyter notebook |
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| 63 | ``` |
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| 64 | ||||
| 65 | ```sh |
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| 66 | jupyter lab |
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| 67 | ``` |
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| 68 | ||||
| 69 | 退出当前环境 |
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| 70 | ||||
| 71 | ```sh |
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| 72 | conda deactivate |
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| 73 | ``` |
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| 74 | ||||
| 75 | ## 其他 |
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| 76 | ||||
| 77 | 创建环境时,指定 python 版本 |
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| 78 | ||||
| 79 | ```sh |
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| 80 | conda create --name example39 python=3.9 |
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| 81 | ``` |
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| 82 | ||||
| 83 | 导出环境 |
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| 84 | ||||
| 85 | ```sh |
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| 86 | conda env export >defaultpy39env.yml |
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| 87 | ``` |