pip@22.0.1

The PyPA recommended tool for installing Python packages.

2022-01-30 Python >=3.10 wheel sdist
安装 (22.0.1)
pip install pip==22.0.1
poetry add pip==22.0.1
pipenv install pip==22.0.1
conda install pip=22.0.1
下载文件
文件名类型Python 版本大小
pip-22.0.1-py3-none-any.whl bdist_wheel py3 2084273 bytes
pip-22.0.1.tar.gz sdist source 2054743 bytes
版本列表
26.1.2 2026-05-31
26.1.1 2026-05-04
26.1 2026-04-26
26.0.1 2026-02-05
26.0 2026-01-31
25.3 2025-10-25
25.2 2025-07-30
25.1.1 2025-05-02
25.1 2025-04-26
25.0.1 2025-02-09
25.0 2025-01-26
24.3.1 2024-10-27
24.3 2024-10-27
24.2 2024-07-28
24.1.2 2024-07-07
24.1.1 2024-06-26
24.1 2024-06-20
24.0 2024-02-03
24.1b2 2024-06-12
24.1b1 2024-05-06
23.3.2 2023-12-17
23.3.1 2023-10-21
23.3 2023-10-15
23.2.1 2023-07-22
23.2 2023-07-15
23.1.2 2023-04-26
23.1.1 2023-04-22
23.1 2023-04-15
23.0.1 2023-02-17
23.0 2023-01-30
22.3.1 2022-11-05
22.3 2022-10-15
22.2.2 2022-08-03
22.2.1 2022-07-27
22.2 2022-07-21
22.1.2 2022-05-31
22.1.1 2022-05-21
22.1 2022-05-11
22.0.4 2022-03-07
22.0.3 2022-02-03
22.0.2 2022-01-30
22.0.1 2022-01-30
22.0 2022-01-30
22.1b1 2022-04-30
21.3.1 2021-10-22
21.3 2021-10-11
21.2.4 2021-08-12
21.2.3 2021-08-06
21.2.2 2021-07-31
21.2.1 2021-07-25
21.2 2021-07-24
21.1.3 2021-06-26
21.1.2 2021-05-23
21.1.1 2021-04-30
21.1 2021-04-24
21.0.1 2021-01-30
21.0 2021-01-23
20.3.4 2021-01-23
20.3.3 2020-12-15
20.3.2 2020-12-15
20.3.1 2020-12-03
20.3 2020-11-30
20.2.4 2020-10-17
20.2.3 2020-09-08
20.2.2 2020-08-11
20.2.1 2020-08-04
20.2 2020-07-29
20.1.1 2020-05-19
20.1 2020-04-28
20.0.2 2020-01-24
20.0.1 2020-01-21
20.0 2020-01-21
20.3b1 2020-10-31
20.2b1 2020-05-21
20.1b1 2020-04-21
19.3.1 2019-10-18
19.3 2019-10-14
19.2.3 2019-08-25
19.2.2 2019-08-11
19.2.1 2019-07-23
19.2 2019-07-23
19.1.1 2019-05-06
19.1 2019-04-24
19.0.3 2019-02-20
19.0.2 2019-02-09
19.0.1 2019-01-23
19.0 2019-01-22
18.1 2018-10-05
18.0 2018-07-22
10.0.1 2018-04-19
10.0.0 2018-04-14
10.0.0b2 2018-04-02
10.0.0b1 2018-03-31
9.0.3 2018-03-22
9.0.2 2018-03-17
9.0.1 2016-11-06
9.0.0 2016-11-02
8.1.2 2016-05-11
8.1.1 2016-03-17
8.1.0 2016-03-05
8.0.3 2016-02-25
8.0.2 2016-01-21
8.0.1 2016-01-21
8.0.0 2016-01-20
7.1.2 2015-08-22
7.1.1 2015-08-20
7.1.0 2015-06-30
7.0.3 2015-06-02
7.0.2 2015-06-01
7.0.1 2015-05-23
7.0.0 2015-05-22
6.1.1 2015-04-07
6.1.0 2015-04-07
6.0.8 2015-02-05
6.0.7 2015-01-28
6.0.6 2015-01-03
6.0.5 2015-01-03
6.0.4 2015-01-03
6.0.3 2014-12-24
6.0.2 2014-12-23
6.0.1 2014-12-22
6.0 2014-12-22
1.5.6 2014-05-17
1.5.5 2014-05-03
1.5.4 2014-02-21
1.5.3 2014-02-21
1.5.2 2014-01-26
1.5.1 2014-01-21
1.5 2014-01-02
1.4.1 2013-08-08
1.4 2013-07-23
1.3.1 2013-03-07
1.3 2013-03-07
1.2.1 2012-09-06
1.2 2012-09-01
1.1 2012-02-16
1.0.2 2011-07-16
1.0.1 2011-04-30
1.0 2011-04-04
0.8.3 2011-03-12
0.8.2 2010-11-29
0.8.1 2010-09-14
0.8 2010-08-03
0.7.2 2010-05-27
0.7.1 2010-04-22
0.7 2010-04-16
0.6.3 2010-01-21
0.6.2 2010-01-18
0.6.1 2009-11-20
0.6 2009-11-10
0.5.1 2009-10-08
0.5 2009-10-07
0.4 2009-05-27
0.3.1 2009-01-29
0.3 2009-01-21
0.2.1 2008-11-17
0.2 2008-10-28
相关教程
函数组合：compose 与 pipe 模式
将简单函数组合成复杂操作，形成清晰的数据处理管道。
Netty 网络编程：Channel、Pipeline 与编解码
使用 Netty 的自定义协议和编解码器，快速开发 IM、网关等网络服务。
Pipenv 环境管理：Pipfile 与 lock 结合
使用 Pipenv 创建确定性的构建环境，通过 Pipfile.lock 锁定依赖版本。
流水线并行：按层切分模型的训练策略
解读流水线并行的架构与调度策略，如 GPipe 与 1F1B，将模型的不同层分配到多个设备，通过微批次流水化减少计算空泡。
Jenkins 持续集成：Pipeline 脚本化构建
搭建 Jenkins 服务，创建声明式 Pipeline，实现代码检出、测试、构建全流程自动化。