Quickly master the skills and techniques of installing whl files with pip, you need specific code examples
With the continuous development of Python, more and more third-party libraries and tools are available The package was developed and brought a lot of convenience to our development work. When installing these third-party libraries, using the pip command is the most common and convenient way. However, sometimes we encounter a situation where we cannot install through pip, then we need to use the whl file to install manually.
What is a whl file? A whl file is short for Python Wheel, which is a standard format for distributing Python software packages. Each whl file contains the code for one or more Python modules, and it can contain C extensions and other dependency files. By using whl files, we can avoid the tedious process of compiling source code and simplify the installation steps.
The following will introduce some tips and tricks to quickly master pip installation of whl files, and give specific code examples.
pip install <whl文件名>.whl
For example, if we want to install the whl file of the numpy library, we can execute the following command:
pip install numpy‑1.21.1‑cp39‑cp39‑win_amd64.whl
pip install --target=<目录路径> <whl文件名>.whl
For example, we want to install the whl file of tensorflow library, but it depends on numpy library. We can first download and install the whl file of the numpy library, and then install the whl file of the tensorflow library.
pip install numpy‑1.21.1‑cp39‑cp39‑win_amd64.whl pip install tensorflow‑2.6.0‑cp39‑cp39‑win_amd64.whl
For example, if you want to install the 1.20.3 version of the numpy library, you can execute the following command:
pip install numpy==1.20.3
By mastering these tips and tricks, we can quickly and efficiently install whl using pip files to speed up our development. A complete code example is given below:
# 安装numpy的whl文件 pip install numpy‑1.21.1‑cp39‑cp39‑win_amd64.whl # 安装tensorflow的whl文件,并指定安装目录 pip install --target=D:PythonLib tensorflow‑2.6.0‑cp39‑cp39‑win_amd64.whl # 安装依赖库 pip install numpy‑1.21.1‑cp39‑cp39‑win_amd64.whl pip install tensorflow‑2.6.0‑cp39‑cp39‑win_amd64.whl
Summary: It is very convenient to use pip to install whl files. Through the tips and tricks introduced in this article, we can use the pip command to install more flexibly. I hope this article can help you quickly master the tips and tricks of installing whl files with pip and improve your development efficiency.
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