How to configure Python environment variables in Win10
How to configure Python environment variables in Win10: First open the computer system window and select Advanced System Settings; then click the [Environment Variables] option to enter the configuration window, and click [Path]; then click [Edit Environment Variables] and Create a new window; finally enter the root directory of Python in it.
The operating environment of this tutorial: Windows 7 system, python version 3.9, DELL G3 computer.
How to configure Python environment variables in Win10:
1. First of all, we can find this computer through the file explorer, then right-click and select " Properties". Of course, if you have the "This PC" shortcut icon on your desktop, you can also perform the same operation directly on the desktop. After that, the "System" window as shown in the picture will pop up. Next, select Advanced System Settings
#2. After clicking Advanced System Settings, the "System Properties" window will be displayed. In the lower right corner of the window is the "Environment Variables" option. Click to enter the configuration window of environment variables, as shown in the figure below.
3. The next step is to configure the environment variables. First find the "Path" item in the system variables, select it and click Edit, and the next "Edit Environment Variables" window will appear. What is displayed in this window are the environment variables that have been configured in the computer. In order not to destroy other variables, please do not do any operations on other content, just click "New".
4. After clicking "New", a blank input box to be filled in will be automatically added to the window. Enter Python in it. Just the root directory. as the picture shows. Next confirm saving. At this time, WIN R -> cmd opens the command window, enter "python", and confirm that the environment variables are configured successfully. The above is how to configure Python environment variables in Win10.
##Related free learning recommendations:
The above is the detailed content of How to configure Python environment variables in Win10. For more information, please follow other related articles on the PHP Chinese website!
Learning Python: Is 2 Hours of Daily Study Sufficient?Apr 18, 2025 am 12:22 AMIs it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.
Python for Web Development: Key ApplicationsApr 18, 2025 am 12:20 AMKey applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code
Python vs. C : Exploring Performance and EfficiencyApr 18, 2025 am 12:20 AMPython is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.
Python in Action: Real-World ExamplesApr 18, 2025 am 12:18 AMPython's real-world applications include data analytics, web development, artificial intelligence and automation. 1) In data analysis, Python uses Pandas and Matplotlib to process and visualize data. 2) In web development, Django and Flask frameworks simplify the creation of web applications. 3) In the field of artificial intelligence, TensorFlow and PyTorch are used to build and train models. 4) In terms of automation, Python scripts can be used for tasks such as copying files.
Python's Main Uses: A Comprehensive OverviewApr 18, 2025 am 12:18 AMPython is widely used in data science, web development and automation scripting fields. 1) In data science, Python simplifies data processing and analysis through libraries such as NumPy and Pandas. 2) In web development, the Django and Flask frameworks enable developers to quickly build applications. 3) In automated scripts, Python's simplicity and standard library make it ideal.
The Main Purpose of Python: Flexibility and Ease of UseApr 17, 2025 am 12:14 AMPython's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.
Python: The Power of Versatile ProgrammingApr 17, 2025 am 12:09 AMPython is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.
Learning Python in 2 Hours a Day: A Practical GuideApr 17, 2025 am 12:05 AMYes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.
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
AI Hentai Generator
Generate AI Hentai for free.
Hot Article
Hot Tools
Notepad++7.3.1
Easy-to-use and free code editor
ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment
VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft
MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.
SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.
