（1）本质核心是多进程里执行os.system("wget filename")，开17个进程的进程池意味着同时在下载17个文件。





（2）将指令全部放列表needgfsfile里面。

```python
import datetime
import multiprocessing
import os
def downloadgfs(filename):
    os.system(filename)
start_hour = 12
yesterday = (datetime.datetime.now() - datetime.timedelta(days=1)).replace(hour=start_hour, microsecond=0)
ymdstr = f"{str(yesterday.year).zfill(4)}{str(yesterday.month).zfill(2)}{str(yesterday.day).zfill(2)}{str(start_hour).zfill(2)}"
if not os.path.exists(ymdstr):
    os.mkdir(ymdstr)
needgfsfile = [
    f"wget ftp://ftpprd.ncep.noaa.gov/pub/data/nccf/com/gfs/prod/gfs.{ymdstr[:-2]}/{ymdstr[-2:]}/atmos/gfs.t{ymdstr[-2:]}z.pgrb2.0p50.f{str(i * 24).zfill(3)} -P {ymdstr}/"
    for i in range(17)]
p = multiprocessing.Pool(processes=17)  # 进to程池
_ = [p.apply_async(func=downloadgfs, args=(i,)) for i in needgfsfile]
p.close()
p.join()
```

python wget 并行下载多个文件 同时下载多个文件 ftp文件 多进程

## 1 加解释器后加路径





![在这里插入图片描述](/static/img/images/00435.png)

## 2 配置

![在这里插入图片描述](/static/img/images/00436.png)

这样点一下后切到用户目录作为Root path

![在这里插入图片描述](/static/img/images/00437.png)

手动修改这里：

![在这里插入图片描述](/static/img/images/00438.png)

## 3 第一次需要手动上传

![在这里插入图片描述](/static/img/images/00439.png)

Pycharm Deployment ssh 解释器 文件同步设置

[https://stackoverflow.com/questions/19237512/rbf-interpolation-linalgerror-singular-matrix](https://stackoverflow.com/questions/19237512/rbf-interpolation-linalgerror-singular-matrix)

RBF interpolation: LinAlgError: singular matrix 热力图

[https://pytorch.org/get-started/previous-versions/](https://pytorch.org/get-started/previous-versions/)





```handlebars
# CUDA 10.1
conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 cudatoolkit=10.1 -c pytorch
```

pytorch 安装

北京外国语大学开源软件镜像站





```handlebars
channels:
  - defaults
show_channel_urls: true
channel_alias: https://mirrors.bfsu.edu.cn/anaconda
default_channels:
  - https://mirrors.bfsu.edu.cn/anaconda/pkgs/main
  - https://mirrors.bfsu.edu.cn/anaconda/pkgs/free
  - https://mirrors.bfsu.edu.cn/anaconda/pkgs/r
  - https://mirrors.bfsu.edu.cn/anaconda/pkgs/pro
  - https://mirrors.bfsu.edu.cn/anaconda/pkgs/msys2
custom_channels:
  conda-forge: https://mirrors.bfsu.edu.cn/anaconda/cloud
  msys2: https://mirrors.bfsu.edu.cn/anaconda/cloud
  bioconda: https://mirrors.bfsu.edu.cn/anaconda/cloud
  menpo: https://mirrors.bfsu.edu.cn/anaconda/cloud
  pytorch: https://mirrors.bfsu.edu.cn/anaconda/cloud
  simpleitk: https://mirrors.bfsu.edu.cn/anaconda/cloud
```

上海交通大学开源软件镜像站

```handlebars
channels:
  - defaults
show_channel_urls: true
channel_alias: https://anaconda.mirrors.sjtug.sjtu.edu.cn/
default_channels:
  - https://anaconda.mirrors.sjtug.sjtu.edu.cn/pkgs/main
  - https://anaconda.mirrors.sjtug.sjtu.edu.cn/pkgs/free
  - https://anaconda.mirrors.sjtug.sjtu.edu.cn/pkgs/mro
  - https://anaconda.mirrors.sjtug.sjtu.edu.cn/pkgs/msys2
  - https://anaconda.mirrors.sjtug.sjtu.edu.cn/pkgs/pro
  - https://anaconda.mirrors.sjtug.sjtu.edu.cn/pkgs/r
custom_channels:
  conda-forge: https://anaconda.mirrors.sjtug.sjtu.edu.cn/conda-forge
  soumith: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud/soumith
  bioconda: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud/bioconda
  menpo: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud/menpo
  viscid-hub: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud/viscid-hub
  atztogo: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud/atztogo
```

清华大学开源软件镜像站

```handlebars
channels:
  - defaults
show_channel_urls: true
default_channels:
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
custom_channels:
  conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  msys2: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  menpo: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  pytorch: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
```

conda 镜像站

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