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Learn pip installation from scratch, quickly master the skills, you need specific code examples
Overview:
pip is a Python package management tool that can easily install, Upgrade and manage Python packages. For Python developers, it is very important to master the skills of using pip. This article will introduce the installation method of pip from scratch, and give some practical tips and specific code examples to help readers quickly master the use of pip.
1. Install pip
Before using pip, you first need to install pip. The installation of pip is very simple and can be installed through the following methods.
Install pip using the package manager built into the operating system. For some Unix systems (such as Linux, macOS, etc.), you can use the package manager to install pip directly. For example, use the following command to install pip on Ubuntu:
sudo apt-get install python-pip
Install pip using a python script. The official website of pip provides a get-pip.py script through which pip can be installed. Download the script and execute the following command to install pip:
wget https://bootstrap.pypa.io/get-pip.py python get-pip.py
Use the Python installation tool to install pip. Python comes with an installation tool easy_install, which can be used to install pip. Execute the following command to install pip:
easy_install pip
After the installation is completed, you can check whether pip is installed successfully by executing the pip --version
command.
2. Commonly used pip commands
After installing pip, you can use pip to install, upgrade and manage Python packages. The following are some commonly used pip commands and their functions:
Installation package:
pip install package_name
This command can be used to install Python packages. package_name is the name of the package to be installed. For example, to install the numpy package, you can execute the following command:
pip install numpy
Upgrade package:
pip install --upgrade package_name
This command can be used to upgrade the installed package. package_name is the name of the package to be upgraded. For example, to upgrade the numpy package, you can execute the following command:
pip install --upgrade numpy
View installed packages:
pip list
This command can view the installed Python packages in the current environment .
Find packages:
pip search package_name
This command can be used to find Python packages. package_name is the package name to be found. For example, to find packages about machine learning, you can execute the following command:
pip search machine learning
Uninstall the package:
pip uninstall package_name
This command can be used to uninstall the installed package. package_name is the name of the package to be uninstalled. For example, to uninstall the numpy package, you can execute the following command:
pip uninstall numpy
3. Advanced usage of pip
In addition to the above common commands, pip also has some advanced usage that can help simplify development process. Some common advanced uses are listed below.
Install packages through requirements.txt:
requirements.txt is a text file used to specify the Python packages and their version numbers that the project depends on. By using the requirements.txt file, you can easily install the packages required for your project. Create a requirements.txt file and write the packages required by the project and their version numbers into the file, and then execute the following command to install these dependent packages:
pip install -r requirements.txt
Export installed packages List:
You can use the following command to export all installed packages in the current environment to a text file:
pip freeze > requirements.txt
The exported requirements.txt file will list all installed packages and their versions Number.
Source management:
pip allows you to set multiple sources and download packages from different sources. You can use the following command to manage the source:
pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
This command sets the source of pip to the source of Tsinghua University, which can speed up the download of the package.
4. Summary
This article introduces the installation method of pip from scratch, and gives some practical skills and specific code examples to help readers quickly master the use of pip . By studying this article, readers will be able to install, upgrade and manage Python packages more conveniently and improve development efficiency. In actual development, it is very important to master the skills of using pip. I hope this article can be helpful to readers.
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