search
HomeBackend DevelopmentPython TutorialPython web development environment setup tutorial

Python web development environment setup tutorial

Jun 17, 2023 pm 02:10 PM
pythonwebenvironment

Python is a high-level programming language. Because of its cross-platform, easy-to-learn, and powerful features, some large companies, such as Google, Dropbox, etc., choose to use Python for development. As Web applications have gradually become mainstream applications in recent years, Python has gradually become the preferred development language for Web applications.

This article will introduce how to set up a Python web development environment on a Windows system, including Python installation, virtual environment settings, Django framework installation and creation of a basic Django project.

  1. Installation of Python

First, you need to install Python on your machine. You can download the latest version of Python from Python's official website https://www.python.org/downloads/ or install Python using Anaconda https://www.anaconda.com/products/individual.

  1. Virtual environment settings

In order to prevent version and dependency conflicts between python packages between different projects, we need to create a virtual environment for each project. Open the command line window and enter the project folder:

$ cd project_folder

Then use the pip command to install virtualenv:

$ pip install virtualenv

Create a new virtual environment as follows:

$ virtualenv venv

Among them, venv is the name of the virtual environment. After executing the above command, a directory named venv will be created in the current directory, which contains a complete Python environment.

Enter the virtual environment:

$ source venv/Scripts/activate

The command to activate the environment on Windows is as follows:

$ venvScriptsctivate.bat

After running the above command, the prefix of the current command line window will become (venv) , indicating that the virtual environment has been activated.

Finally, use the following command to exit the virtual environment:

$ deactivate
  1. Installation of Django framework

After activating the virtual environment, you can use the following command to install Django Framework:

$ pip install django

Use the following command to check the Django version:

$ python -m django --version
  1. Create a Django project

Use the Django command line tool to create a Django project:

$ django-admin startproject mysite

Where, mysite is the name of the project.

After executing the above command, a mysite folder will be created in the current directory, which is the root directory of the Django project.

Enter this directory and start the Django Web server:

$ cd mysite

$ python manage.py runserver

After starting the local server, you can enter http://127.0.0.1:8000 in the browser to access the Django website.

Next, you can perform some configurations in the mysite/settings.py file, such as database configuration, language configuration, etc.

At this point, you have established a Django web development environment. I wish you good luck and happiness in developing web applications with Django.

The above is the detailed content of Python web development environment setup tutorial. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Python's Execution Model: Compiled, Interpreted, or Both?Python's Execution Model: Compiled, Interpreted, or Both?May 10, 2025 am 12:04 AM

Pythonisbothcompiledandinterpreted.WhenyourunaPythonscript,itisfirstcompiledintobytecode,whichisthenexecutedbythePythonVirtualMachine(PVM).Thishybridapproachallowsforplatform-independentcodebutcanbeslowerthannativemachinecodeexecution.

Is Python executed line by line?Is Python executed line by line?May 10, 2025 am 12:03 AM

Python is not strictly line-by-line execution, but is optimized and conditional execution based on the interpreter mechanism. The interpreter converts the code to bytecode, executed by the PVM, and may precompile constant expressions or optimize loops. Understanding these mechanisms helps optimize code and improve efficiency.

What are the alternatives to concatenate two lists in Python?What are the alternatives to concatenate two lists in Python?May 09, 2025 am 12:16 AM

There are many methods to connect two lists in Python: 1. Use operators, which are simple but inefficient in large lists; 2. Use extend method, which is efficient but will modify the original list; 3. Use the = operator, which is both efficient and readable; 4. Use itertools.chain function, which is memory efficient but requires additional import; 5. Use list parsing, which is elegant but may be too complex. The selection method should be based on the code context and requirements.

Python: Efficient Ways to Merge Two ListsPython: Efficient Ways to Merge Two ListsMay 09, 2025 am 12:15 AM

There are many ways to merge Python lists: 1. Use operators, which are simple but not memory efficient for large lists; 2. Use extend method, which is efficient but will modify the original list; 3. Use itertools.chain, which is suitable for large data sets; 4. Use * operator, merge small to medium-sized lists in one line of code; 5. Use numpy.concatenate, which is suitable for large data sets and scenarios with high performance requirements; 6. Use append method, which is suitable for small lists but is inefficient. When selecting a method, you need to consider the list size and application scenarios.

Compiled vs Interpreted Languages: pros and consCompiled vs Interpreted Languages: pros and consMay 09, 2025 am 12:06 AM

Compiledlanguagesofferspeedandsecurity,whileinterpretedlanguagesprovideeaseofuseandportability.1)CompiledlanguageslikeC arefasterandsecurebuthavelongerdevelopmentcyclesandplatformdependency.2)InterpretedlanguageslikePythonareeasiertouseandmoreportab

Python: For and While Loops, the most complete guidePython: For and While Loops, the most complete guideMay 09, 2025 am 12:05 AM

In Python, a for loop is used to traverse iterable objects, and a while loop is used to perform operations repeatedly when the condition is satisfied. 1) For loop example: traverse the list and print the elements. 2) While loop example: guess the number game until you guess it right. Mastering cycle principles and optimization techniques can improve code efficiency and reliability.

Python concatenate lists into a stringPython concatenate lists into a stringMay 09, 2025 am 12:02 AM

To concatenate a list into a string, using the join() method in Python is the best choice. 1) Use the join() method to concatenate the list elements into a string, such as ''.join(my_list). 2) For a list containing numbers, convert map(str, numbers) into a string before concatenating. 3) You can use generator expressions for complex formatting, such as ','.join(f'({fruit})'forfruitinfruits). 4) When processing mixed data types, use map(str, mixed_list) to ensure that all elements can be converted into strings. 5) For large lists, use ''.join(large_li

Python's Hybrid Approach: Compilation and Interpretation CombinedPython's Hybrid Approach: Compilation and Interpretation CombinedMay 08, 2025 am 12:16 AM

Pythonusesahybridapproach,combiningcompilationtobytecodeandinterpretation.1)Codeiscompiledtoplatform-independentbytecode.2)BytecodeisinterpretedbythePythonVirtualMachine,enhancingefficiencyandportability.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

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

Hot Tools

Atom editor mac version download

Atom editor mac version download

The most popular open source editor

SublimeText3 Linux new version

SublimeText3 Linux new version

SublimeText3 Linux latest version

mPDF

mPDF

mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

MinGW - Minimalist GNU for Windows

MinGW - Minimalist GNU for Windows

This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

SublimeText3 English version

SublimeText3 English version

Recommended: Win version, supports code prompts!