pip3 installation tutorial
The steps of pip3 installation are divided into three steps: "check", "installation" and "verification": 1. Run the "python3 --version" command in the command line to check the version of Python3; 2. Open a Use the browser to download the "get-pip.py" script file, open the terminal, navigate to the file directory, and run the "python3 get-pip.py" command; 3. Run the "pip3 --version" command on the command line to verify whether pip3 The installation is successful.
# Operating system for this tutorial: Windows 10 system, Dell G3 computer.
The following are the steps to install pip3:
Step 1: Check if Python3 is installed
Before you start, you need to make sure that Python3 is installed. You can run the following command on the command line to check the version of Python3:
python3 --version
If the output is similar to Python 3.x.x, Python3 has been installed.
Step 2: Install pip3
Open a browser and visit https://bootstrap.pypa.io/get-pip.py to download get-pip. py script file.
Open a command line terminal (Command Prompt or PowerShell for Windows, Terminal for Mac).
Navigate to the directory where the get-pip.py file is located on the command line.
Run the following command to install pip3:
python3 get-pip.py
Please note that on some systems, you may need to use the sudo command to obtain management Administrator permissions:
sudo python3 get-pip.py
Step 3: Verify the installation
After the installation is completed, you can run the following command in the command line to verify whether pip3 is successfully installed:
pip3 --version
If the output Information similar to pip 20.0.2 from /usr/local/lib/python3.8/site-packages/pip (python 3.8) means that pip3 has been successfully installed.
Now you can use the pip3 command to install Python packages. For example, use the following command to install the numpy package:
pip3 install numpy
Hope this helps! If you have any further questions, please feel free to ask.
The above is the detailed content of pip3 installation tutorial. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.
