semvec/pypi-packages huggingface dataset:
pytest-forks 1.0.1
Fork helper for pytest
Requires Python: >=3

# pytest-forks

This is a simple helper for pytest to support tests that fork or that test code that forks.

# What it does

`forks` detects forked children (and grandchildren) that fail to exit cleanly with `os._exit` and reports them. It waits for all children to exit to ensure the parent doesn't perform tear-downs while any children are still active. It also prevents pytest from generating duplicate reports if a child fails to exit cleanly.

`with forks()` calls can be safely nested if required.

# Limitations

`forks` cannot detect calls to `os._exit` in the parent process. This will result in pytest failing to generate a report.

`forks` cannot detect missing calls to `os.waitpid`. This will result in unreaped children until pytest itself closes. `forks` will correctly detect when these unreaped children exit.

`forks` will not wait for children created through the subprocess module or with os.exec.

# How to use it
```
import os
from pytest_forks import forks

def test_forking_code():
    with forks():
        # call code that forks

def test_forking_test():
    with forks():
        pid = os.fork()
        if pid == 0:
            # do things in the forked child
            os._exit(0)
        # do things in the parent
        os.waitpid(pid, 0)
```
shang-guigu-qianduan-jishu-zhi-e-le-ma-waimai-xiangmu 2024.3.6.0
尚硅谷前端技术之饿了吗外卖项目
Requires Python: >=3.6

# 尚硅谷前端技术之饿了吗外卖项目

## 下载

### Docker

```
docker pull apachecn0/shang-guigu-qianduan-jishu-zhi-e-le-ma-waimai-xiangmu
docker run -tid -p <port>:80 apachecn0/shang-guigu-qianduan-jishu-zhi-e-le-ma-waimai-xiangmu
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install shang-guigu-qianduan-jishu-zhi-e-le-ma-waimai-xiangmu
shang-guigu-qianduan-jishu-zhi-e-le-ma-waimai-xiangmu <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g shang-guigu-qianduan-jishu-zhi-e-le-ma-waimai-xiangmu
shang-guigu-qianduan-jishu-zhi-e-le-ma-waimai-xiangmu <port>
# 访问 http://localhost:{port} 查看文档
```
shang-guigu-mianshiti 2024.3.6.0
尚硅谷面试题
Requires Python: >=3.6

# 尚硅谷面试题

## 下载

### Docker

```
docker pull apachecn0/shang-guigu-mianshiti
docker run -tid -p <port>:80 apachecn0/shang-guigu-mianshiti
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install shang-guigu-mianshiti
shang-guigu-mianshiti <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g shang-guigu-mianshiti
shang-guigu-mianshiti <port>
# 访问 http://localhost:{port} 查看文档
```
shang-guigu-java-jishu-zhizhong-chou-xiangmu 2024.3.6.0
尚硅谷 Java 技术之众筹项目
Requires Python: >=3.6

# 尚硅谷 Java 技术之众筹项目

## 下载

### Docker

```
docker pull apachecn0/shang-guigu-java-jishu-zhizhong-chou-xiangmu
docker run -tid -p <port>:80 apachecn0/shang-guigu-java-jishu-zhizhong-chou-xiangmu
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install shang-guigu-java-jishu-zhizhong-chou-xiangmu
shang-guigu-java-jishu-zhizhong-chou-xiangmu <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g shang-guigu-java-jishu-zhizhong-chou-xiangmu
shang-guigu-java-jishu-zhizhong-chou-xiangmu <port>
# 访问 http://localhost:{port} 查看文档
```
shang-guigu-java-jishu-zhi-dianshang-xiangmu 2024.3.6.0
尚硅谷 Java 技术之电商项目
Requires Python: >=3.6

# 尚硅谷 Java 技术之电商项目

## 下载

### Docker

```
docker pull apachecn0/shang-guigu-java-jishu-zhi-dianshang-xiangmu
docker run -tid -p <port>:80 apachecn0/shang-guigu-java-jishu-zhi-dianshang-xiangmu
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install shang-guigu-java-jishu-zhi-dianshang-xiangmu
shang-guigu-java-jishu-zhi-dianshang-xiangmu <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g shang-guigu-java-jishu-zhi-dianshang-xiangmu
shang-guigu-java-jishu-zhi-dianshang-xiangmu <port>
# 访问 http://localhost:{port} 查看文档
```
shang-guigu-java-jichu-shizhan-zhi-yinxing-xiangmu 2024.3.6.0
尚硅谷 Java 基础实战之银行项目
Requires Python: >=3.6

# 尚硅谷 Java 基础实战之银行项目

## 下载

### Docker

```
docker pull apachecn0/shang-guigu-java-jichu-shizhan-zhi-yinxing-xiangmu
docker run -tid -p <port>:80 apachecn0/shang-guigu-java-jichu-shizhan-zhi-yinxing-xiangmu
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install shang-guigu-java-jichu-shizhan-zhi-yinxing-xiangmu
shang-guigu-java-jichu-shizhan-zhi-yinxing-xiangmu <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g shang-guigu-java-jichu-shizhan-zhi-yinxing-xiangmu
shang-guigu-java-jichu-shizhan-zhi-yinxing-xiangmu <port>
# 访问 http://localhost:{port} 查看文档
```
shang-guigu-it-jingying-jihua-javase-neibu-xuexi-biji 2024.3.6.0
尚硅谷 IT 精英计划 JavaSE 内部学习笔记
Requires Python: >=3.6

# 尚硅谷 IT 精英计划 JavaSE 内部学习笔记

## 下载

### Docker

```
docker pull apachecn0/shang-guigu-it-jingying-jihua-javase-neibu-xuexi-biji
docker run -tid -p <port>:80 apachecn0/shang-guigu-it-jingying-jihua-javase-neibu-xuexi-biji
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install shang-guigu-it-jingying-jihua-javase-neibu-xuexi-biji
shang-guigu-it-jingying-jihua-javase-neibu-xuexi-biji <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g shang-guigu-it-jingying-jihua-javase-neibu-xuexi-biji
shang-guigu-it-jingying-jihua-javase-neibu-xuexi-biji <port>
# 访问 http://localhost:{port} 查看文档
```
shang-guigu-da-shuju-jishu-zhi-zookeeper 2024.3.6.0
尚硅谷大数据技术之 Zookeeper
Requires Python: >=3.6

# 尚硅谷大数据技术之 Zookeeper

## 下载

### Docker

```
docker pull apachecn0/shang-guigu-da-shuju-jishu-zhi-zookeeper
docker run -tid -p <port>:80 apachecn0/shang-guigu-da-shuju-jishu-zhi-zookeeper
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install shang-guigu-da-shuju-jishu-zhi-zookeeper
shang-guigu-da-shuju-jishu-zhi-zookeeper <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g shang-guigu-da-shuju-jishu-zhi-zookeeper
shang-guigu-da-shuju-jishu-zhi-zookeeper <port>
# 访问 http://localhost:{port} 查看文档
```
shang-guigu-da-shuju-jishu-zhi-sqoop-oozie-azkaban 2024.3.6.0
尚硅谷大数据技术之 Sqoop Oozie Azkaban
Requires Python: >=3.6

# 尚硅谷大数据技术之 Sqoop Oozie Azkaban

## 下载

### Docker

```
docker pull apachecn0/shang-guigu-da-shuju-jishu-zhi-sqoop-oozie-azkaban
docker run -tid -p <port>:80 apachecn0/shang-guigu-da-shuju-jishu-zhi-sqoop-oozie-azkaban
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install shang-guigu-da-shuju-jishu-zhi-sqoop-oozie-azkaban
shang-guigu-da-shuju-jishu-zhi-sqoop-oozie-azkaban <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g shang-guigu-da-shuju-jishu-zhi-sqoop-oozie-azkaban
shang-guigu-da-shuju-jishu-zhi-sqoop-oozie-azkaban <port>
# 访问 http://localhost:{port} 查看文档
```
shang-guigu-da-shuju-jishu-zhi-spark 2024.3.6.0
尚硅谷大数据技术之 Spark
Requires Python: >=3.6

# 尚硅谷大数据技术之 Spark

## 下载

### Docker

```
docker pull apachecn0/shang-guigu-da-shuju-jishu-zhi-spark
docker run -tid -p <port>:80 apachecn0/shang-guigu-da-shuju-jishu-zhi-spark
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install shang-guigu-da-shuju-jishu-zhi-spark
shang-guigu-da-shuju-jishu-zhi-spark <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g shang-guigu-da-shuju-jishu-zhi-spark
shang-guigu-da-shuju-jishu-zhi-spark <port>
# 访问 http://localhost:{port} 查看文档
```
shang-guigu-da-shuju-jishu-zhi-scala-yuyan-hexin-biancheng 2024.3.6.0
尚硅谷大数据技术之 Scala 语言核心编程
Requires Python: >=3.6

# 尚硅谷大数据技术之 Scala 语言核心编程

## 下载

### Docker

```
docker pull apachecn0/shang-guigu-da-shuju-jishu-zhi-scala-yuyan-hexin-biancheng
docker run -tid -p <port>:80 apachecn0/shang-guigu-da-shuju-jishu-zhi-scala-yuyan-hexin-biancheng
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install shang-guigu-da-shuju-jishu-zhi-scala-yuyan-hexin-biancheng
shang-guigu-da-shuju-jishu-zhi-scala-yuyan-hexin-biancheng <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g shang-guigu-da-shuju-jishu-zhi-scala-yuyan-hexin-biancheng
shang-guigu-da-shuju-jishu-zhi-scala-yuyan-hexin-biancheng <port>
# 访问 http://localhost:{port} 查看文档
```
shang-guigu-da-shuju-jishu-zhi-redis 2024.3.6.0
尚硅谷大数据技术之 Redis
Requires Python: >=3.6

# 尚硅谷大数据技术之 Redis

## 下载

### Docker

```
docker pull apachecn0/shang-guigu-da-shuju-jishu-zhi-redis
docker run -tid -p <port>:80 apachecn0/shang-guigu-da-shuju-jishu-zhi-redis
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install shang-guigu-da-shuju-jishu-zhi-redis
shang-guigu-da-shuju-jishu-zhi-redis <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g shang-guigu-da-shuju-jishu-zhi-redis
shang-guigu-da-shuju-jishu-zhi-redis <port>
# 访问 http://localhost:{port} 查看文档
```
shang-guigu-da-shuju-jishu-zhi-linux 2024.3.6.0
尚硅谷大数据技术之 Linux
Requires Python: >=3.6

# 尚硅谷大数据技术之 Linux

## 下载

### Docker

```
docker pull apachecn0/shang-guigu-da-shuju-jishu-zhi-linux
docker run -tid -p <port>:80 apachecn0/shang-guigu-da-shuju-jishu-zhi-linux
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install shang-guigu-da-shuju-jishu-zhi-linux
shang-guigu-da-shuju-jishu-zhi-linux <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g shang-guigu-da-shuju-jishu-zhi-linux
shang-guigu-da-shuju-jishu-zhi-linux <port>
# 访问 http://localhost:{port} 查看文档
```
shang-guigu-da-shuju-jishu-zhi-kafka 2024.3.6.0
尚硅谷大数据技术之 Kafka
Requires Python: >=3.6

# 尚硅谷大数据技术之 Kafka

## 下载

### Docker

```
docker pull apachecn0/shang-guigu-da-shuju-jishu-zhi-kafka
docker run -tid -p <port>:80 apachecn0/shang-guigu-da-shuju-jishu-zhi-kafka
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install shang-guigu-da-shuju-jishu-zhi-kafka
shang-guigu-da-shuju-jishu-zhi-kafka <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g shang-guigu-da-shuju-jishu-zhi-kafka
shang-guigu-da-shuju-jishu-zhi-kafka <port>
# 访问 http://localhost:{port} 查看文档
```
shang-guigu-da-shuju-jishu-zhi-hive 2024.3.6.0
尚硅谷大数据技术之 Hive
Requires Python: >=3.6

# 尚硅谷大数据技术之 Hive

## 下载

### Docker

```
docker pull apachecn0/shang-guigu-da-shuju-jishu-zhi-hive
docker run -tid -p <port>:80 apachecn0/shang-guigu-da-shuju-jishu-zhi-hive
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install shang-guigu-da-shuju-jishu-zhi-hive
shang-guigu-da-shuju-jishu-zhi-hive <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g shang-guigu-da-shuju-jishu-zhi-hive
shang-guigu-da-shuju-jishu-zhi-hive <port>
# 访问 http://localhost:{port} 查看文档
```
shang-guigu-da-shuju-jishu-zhi-hbase 2024.3.6.0
尚硅谷大数据技术之 Hbase
Requires Python: >=3.6

# 尚硅谷大数据技术之 Hbase

## 下载

### Docker

```
docker pull apachecn0/shang-guigu-da-shuju-jishu-zhi-hbase
docker run -tid -p <port>:80 apachecn0/shang-guigu-da-shuju-jishu-zhi-hbase
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install shang-guigu-da-shuju-jishu-zhi-hbase
shang-guigu-da-shuju-jishu-zhi-hbase <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g shang-guigu-da-shuju-jishu-zhi-hbase
shang-guigu-da-shuju-jishu-zhi-hbase <port>
# 访问 http://localhost:{port} 查看文档
```
shang-guigu-da-shuju-jishu-zhi-hadoop 2024.3.6.0
尚硅谷大数据技术之 Hadoop
Requires Python: >=3.6

# 尚硅谷大数据技术之 Hadoop

## 下载

### Docker

```
docker pull apachecn0/shang-guigu-da-shuju-jishu-zhi-hadoop
docker run -tid -p <port>:80 apachecn0/shang-guigu-da-shuju-jishu-zhi-hadoop
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install shang-guigu-da-shuju-jishu-zhi-hadoop
shang-guigu-da-shuju-jishu-zhi-hadoop <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g shang-guigu-da-shuju-jishu-zhi-hadoop
shang-guigu-da-shuju-jishu-zhi-hadoop <port>
# 访问 http://localhost:{port} 查看文档
```
TadetextSummarizer 0.1.4
A simple text summarization tool
Requires Python: >=3.6

Simple Text Summarization Tool Overview This Simple Text Summarization Tool is an open-source Python application designed to automatically summarize text, making it easier to digest large amounts of information quickly. Utilizing the Natural Language Toolkit (NLTK), this tool identifies the key sentences in a text that are most representative of its overall content.

Features Sentence Tokenization: Breaks down the text into sentences using NLTK's sent_tokenize. Word Tokenization: Splits sentences into individual words to analyze their frequency, ignoring stopwords. Frequency Analysis: Identifies the most significant words in the text based on their occurrence. Summarization: Selects sentences that contain the most frequent significant words, providing a concise summary of the text. Installation Before running the summarization tool, ensure you have Python and NLTK installed. Then, install the necessary NLTK packages using the following commands:

bash Copy code import nltk nltk.download('punkt') nltk.download('stopwords') Usage To use the summarization tool, simply run the script from your command line, passing the text you want to summarize as an argument:

bash Copy code python summarize_text.py "Your text to summarize goes here..." Contributing Contributions to the Simple Text Summarization Tool are welcome! If you have suggestions for improvements or bug fixes, please feel free to fork the repository, make your changes, and submit a pull request.

License This project is open-source and available under the MIT License.
shang-guigu-da-shuju-jishu-zhi-elk 2024.3.6.0
尚硅谷大数据技术之 ELK
Requires Python: >=3.6

# 尚硅谷大数据技术之 ELK

## 下载

### Docker

```
docker pull apachecn0/shang-guigu-da-shuju-jishu-zhi-elk
docker run -tid -p <port>:80 apachecn0/shang-guigu-da-shuju-jishu-zhi-elk
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install shang-guigu-da-shuju-jishu-zhi-elk
shang-guigu-da-shuju-jishu-zhi-elk <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g shang-guigu-da-shuju-jishu-zhi-elk
shang-guigu-da-shuju-jishu-zhi-elk <port>
# 访问 http://localhost:{port} 查看文档
```
serverless-yun-kaifa-cong-rumen-dao-shizhan 2024.3.6.0
Serverless 云开发从入门到实战
Requires Python: >=3.6

# Serverless 云开发从入门到实战

## 下载

### Docker

```
docker pull apachecn0/serverless-yun-kaifa-cong-rumen-dao-shizhan
docker run -tid -p <port>:80 apachecn0/serverless-yun-kaifa-cong-rumen-dao-shizhan
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install serverless-yun-kaifa-cong-rumen-dao-shizhan
serverless-yun-kaifa-cong-rumen-dao-shizhan <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g serverless-yun-kaifa-cong-rumen-dao-shizhan
serverless-yun-kaifa-cong-rumen-dao-shizhan <port>
# 访问 http://localhost:{port} 查看文档
```
saas-moshi-yun-shujucangku-shijian-shouce 2024.3.6.0
SaaS 模式云数据仓库实践手册
Requires Python: >=3.6

# SaaS 模式云数据仓库实践手册

## 下载

### Docker

```
docker pull apachecn0/saas-moshi-yun-shujucangku-shijian-shouce
docker run -tid -p <port>:80 apachecn0/saas-moshi-yun-shujucangku-shijian-shouce
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install saas-moshi-yun-shujucangku-shijian-shouce
saas-moshi-yun-shujucangku-shijian-shouce <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g saas-moshi-yun-shujucangku-shijian-shouce
saas-moshi-yun-shujucangku-shijian-shouce <port>
# 访问 http://localhost:{port} 查看文档
```
rust-xingneng-shouce 2024.3.6.0
Rust 性能手册
Requires Python: >=3.6

# Rust 性能手册

## 下载

### Docker

```
docker pull apachecn0/rust-xingneng-shouce
docker run -tid -p <port>:80 apachecn0/rust-xingneng-shouce
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install rust-xingneng-shouce
rust-xingneng-shouce <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g rust-xingneng-shouce
rust-xingneng-shouce <port>
# 访问 http://localhost:{port} 查看文档
```
sarfile 0.1.7
A Python library for reading and writing SAR files.
Requires Python: >=3.10

# sarfile

Like tarfile, but streamable.

## What is this?

This repository implements a "streaming archive" file format for collecting multiple files into one. This is similar to the TAR format, but it puts the information about all the files in the archive into a contiguous block at the beginning of the file. This solves a couple problems:

1. Much faster startup times for large archives (we read the entire header into memory in one go)
2. Much friendlier to remote file systems (only one network request rather than a bunch), in combination with `smart_open`
3. Fast random access

The file size is the same as an uncompressed TAR file.

The downside is that once we've written a SAR file, we can't change it. Maybe future formats will support this, but for now, the recommended flow is to first generate a TAR file, then convert it using the builtin `sarpack` command line tool or the `sarfile.pack_tar` Python API.

Also, the file format only exists in this repository, although it's very simple to implement (see the `_header.py` documentation and the `sarfile` object for how to load items).

## Getting Started

Install the package using Pip:

```bash
pip install sarfile
```

Next, simply import the module:

```python
import sarfile
```

You can convert a tarfile to a sarfile using the Python API:

```python
sarfile.pack_tar(out="myfile.sar", tar="myfile.tar")
```

Alternatively, you can use the built-in command line tool:

```bash
sarpack myfile.sar myfile.tar
```

Finally, the file can be used in your Python script:

```python
f = sarfile.open("myfile.sar"):
print(f.names)
with f["myfile.txt"] as myfile:
    print(myfile.read())
```

If you have installed `smart_open`, then you can also read from S3 as follows:

```python
f = sarfile.open("myfile.sar")
print(f.names)
with f["myfile.txt"] as myfile:
    print(myfile.read())
```

The above code is much faster than reading a TAR file from S3, because we read the entire header into memory in one network request, rather than having to make a network request for each file in the archive. On subsequent accesses we also only download the part of the file we want to read.

## Requirements

This package is tested against Python 3.10. Although not required, it is a good idea to install `smart_open` to support reading from S3 or other remote file systems, and `tqdm` to show a progress bar when packing large files.
quick-stock-chanpin-baipishu 2024.3.6.0
Quick Stock产品白皮书
Requires Python: >=3.6

# Quick Stock产品白皮书

## 下载

### Docker

```
docker pull apachecn0/quick-stock-chanpin-baipishu
docker run -tid -p <port>:80 apachecn0/quick-stock-chanpin-baipishu
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install quick-stock-chanpin-baipishu
quick-stock-chanpin-baipishu <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g quick-stock-chanpin-baipishu
quick-stock-chanpin-baipishu <port>
# 访问 http://localhost:{port} 查看文档
```
quick-decision-zhineng-juece-pingtai 2024.3.6.0
Quick Decision 智能决策平台
Requires Python: >=3.6

# Quick Decision 智能决策平台

## 下载

### Docker

```
docker pull apachecn0/quick-decision-zhineng-juece-pingtai
docker run -tid -p <port>:80 apachecn0/quick-decision-zhineng-juece-pingtai
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install quick-decision-zhineng-juece-pingtai
quick-decision-zhineng-juece-pingtai <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g quick-decision-zhineng-juece-pingtai
quick-decision-zhineng-juece-pingtai <port>
# 访问 http://localhost:{port} 查看文档
```
quanjing-jiemi-ali-wenyu-zhinengsuanfa 2024.3.6.0
全景揭秘阿里文娱智能算法
Requires Python: >=3.6

# 全景揭秘阿里文娱智能算法

## 下载

### Docker

```
docker pull apachecn0/quanjing-jiemi-ali-wenyu-zhinengsuanfa
docker run -tid -p <port>:80 apachecn0/quanjing-jiemi-ali-wenyu-zhinengsuanfa
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install quanjing-jiemi-ali-wenyu-zhinengsuanfa
quanjing-jiemi-ali-wenyu-zhinengsuanfa <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g quanjing-jiemi-ali-wenyu-zhinengsuanfa
quanjing-jiemi-ali-wenyu-zhinengsuanfa <port>
# 访问 http://localhost:{port} 查看文档
```
pytorch-shendu-xuexi-shiyong-zhinan-chuyi 2024.3.6.0
PyTorch 深度学习实用指南（初译）
Requires Python: >=3.6

# PyTorch 深度学习实用指南（初译）

## 下载

### Docker

```
docker pull apachecn0/pytorch-shendu-xuexi-shiyong-zhinan-chuyi
docker run -tid -p <port>:80 apachecn0/pytorch-shendu-xuexi-shiyong-zhinan-chuyi
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install pytorch-shendu-xuexi-shiyong-zhinan-chuyi
pytorch-shendu-xuexi-shiyong-zhinan-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g pytorch-shendu-xuexi-shiyong-zhinan-chuyi
pytorch-shendu-xuexi-shiyong-zhinan-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```
pytorch-rengongzhineng-yantaohui-chuyi 2024.3.6.0
PyTorch 人工智能研讨会（初译）
Requires Python: >=3.6

# PyTorch 人工智能研讨会（初译）

## 下载

### Docker

```
docker pull apachecn0/pytorch-rengongzhineng-yantaohui-chuyi
docker run -tid -p <port>:80 apachecn0/pytorch-rengongzhineng-yantaohui-chuyi
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install pytorch-rengongzhineng-yantaohui-chuyi
pytorch-rengongzhineng-yantaohui-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g pytorch-rengongzhineng-yantaohui-chuyi
pytorch-rengongzhineng-yantaohui-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```
pytorch-rengongzhineng-jichuzhishi-chuyi 2024.3.6.0
PyTorch 人工智能基础知识（初译）
Requires Python: >=3.6

# PyTorch 人工智能基础知识（初译）

## 下载

### Docker

```
docker pull apachecn0/pytorch-rengongzhineng-jichuzhishi-chuyi
docker run -tid -p <port>:80 apachecn0/pytorch-rengongzhineng-jichuzhishi-chuyi
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install pytorch-rengongzhineng-jichuzhishi-chuyi
pytorch-rengongzhineng-jichuzhishi-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g pytorch-rengongzhineng-jichuzhishi-chuyi
pytorch-rengongzhineng-jichuzhishi-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```
pytorch-1-x-ziranyuyan-chuli-shiyong-zhinan-chuyi 2024.3.6.0
PyTorch 1.x 自然语言处理实用指南（初译）
Requires Python: >=3.6

# PyTorch 1.x 自然语言处理实用指南（初译）

## 下载

### Docker

```
docker pull apachecn0/pytorch-1-x-ziranyuyan-chuli-shiyong-zhinan-chuyi
docker run -tid -p <port>:80 apachecn0/pytorch-1-x-ziranyuyan-chuli-shiyong-zhinan-chuyi
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install pytorch-1-x-ziranyuyan-chuli-shiyong-zhinan-chuyi
pytorch-1-x-ziranyuyan-chuli-shiyong-zhinan-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g pytorch-1-x-ziranyuyan-chuli-shiyong-zhinan-chuyi
pytorch-1-x-ziranyuyan-chuli-shiyong-zhinan-chuyi <port>
# 访问 http://localhost:{port} 查看文档
```