


Must-have for Python newbies: Simple and easy-to-understand pip installation tutorial
Introduction:
In Python programming, installing external libraries is a very important step. As the officially recommended package management tool for Python, pip is easy to understand and powerful, making it one of the essential skills for Python novices. This article will introduce you to the pip installation method and specific code examples to help you get started easily.
1. Installation of pip
Before you start using pip, you need to install it first. The following is how to install pip:
-
First, open the command line terminal (Windows users can use the command prompt CMD) and enter the following command to check whether pip has been installed:
pip --version
If the version number of pip is output, it means that pip has been installed and you can skip this step. If it is not installed, continue with the following steps.
-
Download the get-pip.py file, which can be downloaded at https://bootstrap.pypa.io/get-pip.py or downloaded from the command line via the following command:
curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
Or (command unique to Windows users):
python -m pip install --upgrade pip
-
In the command line, enter the directory where get-pip.py is located and enter the following command to install pip:
python get-pip.py
-
After the installation is complete, enter the following command to check whether the installation is successful:
pip --version
If the version number of pip is output, the installation is successful.
2. Use pip to install libraries
After installing pip, we can use it to install the libraries we need to use more functions in Python. The following are the steps to install the library using pip:
-
Open the command line terminal (Windows users can use the command prompt CMD) and enter the following command to install the library:
pip install 库名
Among them, the library name is the name of the library we need to install. For example, to install the numpy library, you can enter:
pip install numpy
pip will automatically download the library file and install it.
-
After the installation is complete, we can use this library in Python code. In the code, we need to use the import statement to introduce this library in order to use the functions and classes in it. For example, an example of using the numpy library:
import numpy as np a = np.array([1, 2, 3]) print(a)
Here, we introduced the numpy library through the import statement and gave it a short alias np. Then, we create an array a and print it out.
3. Common pip commands
In addition to installing libraries, pip also provides some other commonly used commands to facilitate us to manage installed libraries. The following are some commonly used pip commands:
-
View installed libraries: You can use the following command to view installed libraries and version numbers:
pip list
-
Upgrade library: When a new version of the library is released, we can use the following command to upgrade the installed library:
pip install --upgrade 库名
In this way, pip will automatically detect the version of the installed library and download and install the latest Version.
-
Uninstall a library: If we no longer need a library, you can use the following command to delete the installed library:
pip uninstall 库名
In this way, pip will automatically delete the corresponding library Library file.
Conclusion:
Through the introduction of this article, I believe that everyone has a basic understanding of the installation and use of pip. As the officially recommended package management tool for Python, pip has rich library resources to facilitate us to use various functions in programming. I hope that with the help of this article, you can easily get started with pip and benefit a lot from Python programming.
References:
- https://pip.pypa.io/en/stable/
- https://packaging.python.org/tutorials/ installing-packages/
The above is the detailed content of A must-read for Python beginners: a concise and easy-to-understand pip installation guide. For more information, please follow other related articles on the PHP Chinese website!

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