Django Stack 入门:创建完整项目
If you're new to the Python world, and you're wondering what the heck Django is, here's an article that might help as a practical introduction.
Django is like that toolkit you wish you always had. It makes building powerful, scalable web applications not only possible but genuinely fun. And guess what? You don’t need to be an expert to get started.
In this guide, we're going to take a hands-on approach to create a complete Django project from scratch. By the end, you'll have your own fully functioning web app that you can tweak and improve. Let's dive right in!
For a detailed overview of the Django stack, you can visit this page on Code Clash.
Prerequisites
Before you get started, you'll need a few things installed on your computer:
- Python 3.x: Django requires Python 3.x to work properly.
- pip: This is Python's package manager, and you'll use it to install Django and other packages.
- Virtualenv (optional but highly recommended): It helps you create isolated environments so you can keep the dependencies of different projects separate.
If you don’t have Python yet, you can download it from python.org.
Step 1: Set Up Your Environment
First things first—we need to set up a virtual environment for our Django project. This will keep all our project dependencies in one place and ensure they don't interfere with other projects on your system.
To create a virtual environment, run the following command:
# Create a virtual environment python -m venv myenv # Activate the virtual environment # On Windows myenv\Scripts\activate # On macOS/Linux source myenv/bin/activate
Once your virtual environment is activated, go ahead and install Django:
pip install django
And just like that, you’re ready to start building!
Step 2: Create a New Django Project
Let’s kick off by creating a new Django project. Run the following command to create the project:
django-admin startproject myproject
This command will generate a new directory called myproject, and it will contain the following structure:
myproject/ manage.py myproject/ __init__.py settings.py urls.py asgi.py wsgi.py
- manage.py: A script that helps you manage the project (e.g., starting the server, migrating databases).
- settings.py: Contains all the configuration settings for your Django project, like database info and installed apps.
- urls.py: Where you map URLs to their corresponding views.
Step 3: Run the Development Server
Okay, time to see if everything is working. Navigate into your project folder and start the development server:
cd myproject python manage.py runserver
Now, open your browser and go to http://127.0.0.1:8000/. You should see the default Django welcome page, complete with a rocketship. This means your project is up and running—awesome!
Step 4: Create a Django App
Django projects are like big boxes, and inside those boxes, we have smaller boxes called "apps." Apps are modular components of your project, like a blog, a user authentication system, or an e-commerce module.
Let’s create an app called blog by running this command:
python manage.py startapp blog
This will create a new folder named blog containing files like views.py, models.py, and others to help you organize your code.
To let Django know about your new app, add 'blog' to the INSTALLED_APPS list in myproject/settings.py:
INSTALLED_APPS = [ ... 'blog', ]
Step 5: Define Models
A model in Django is simply a Python class that defines how your data is structured. Open blog/models.py and define a simple model for a blog post:
from django.db import models class Post(models.Model): title = models.CharField(max_length=100) content = models.TextField() date_created = models.DateTimeField(auto_now_add=True)
- title: A short text field for the post title.
- content: A longer text field for the post content.
- date_created: Automatically stores the date when the post is created.
Now, we need to apply these changes to our database by running the following commands:
python manage.py makemigrations python manage.py migrate
These commands will create the necessary database tables for the Post model.
Step 6: Create Views and Templates
A view is where the logic happens. It takes a request and returns a response, often rendering an HTML page. Let’s create a view to display all blog posts. Open blog/views.py and add:
from django.shortcuts import render from .models import Post def home(request): posts = Post.objects.all() return render(request, 'blog/home.html', {'posts': posts})
This home view retrieves all the posts from the database and sends them to a template called home.html.
Next, let’s create the template. Inside the blog/ directory, create a folder called templates/blog/ and add a file named home.html:
<!DOCTYPE html> <html> <head> <title>Blog Home</title> </head> <body> <h1>Blog Posts</h1> {% for post in posts %} <div> <h2>{{ post.title }}</h2> <p>{{ post.content }}</p> <small>Published on: {{ post.date_created }}</small> </div> {% endfor %} </body> </html>
This HTML code will display all the posts with their title, content, and creation date.
Step 7: Set Up URL Routing
Now, we need to set up URL routing to connect the views to the right URLs. In the blog/ directory, create a file named urls.py (if it doesn't exist) and add:
from django.urls import path from . import views urlpatterns = [ path('', views.home, name='blog-home'), ]
Then, include the blog URLs in the main project’s urls.py file:
from django.contrib import admin from django.urls import path, include urlpatterns = [ path('admin/', admin.site.urls), path('', include('blog.urls')), ]
This way, when someone visits the root URL, Django will serve the home view from the blog app.
Step 8: Test Your Application
You’re almost there! Let’s run the server again and see if our blog works:
python manage.py runserver
Go back to http://127.0.0.1:8000/ in your browser, and you should see a list of all your blog posts—congratulations, you’ve built your first Django app!
Additional Resources
- Django Documentation - The official documentation is a treasure trove of information and examples.
- Python-Anaconda Stack - Learn how Python can be used with Anaconda for data science.
- Best Frameworks for Web Development - Explore the best web development frameworks, including Django.
Conclusion
In this guide, we walked through setting up a Django environment, creating a new project, and building a simple blogging app. Django has a lot of built-in features that make web development faster and easier, so you can focus on building what matters most. If you’re ready for more, check out Code Clash’s Django Stack page to dive deeper into the world of Django.
Happy coding, and welcome to the Django community!
以上是Django Stack 入门:创建完整项目的详细内容。更多信息请关注PHP中文网其他相关文章!

热AI工具

Undresser.AI Undress
人工智能驱动的应用程序,用于创建逼真的裸体照片

AI Clothes Remover
用于从照片中去除衣服的在线人工智能工具。

Undress AI Tool
免费脱衣服图片

Clothoff.io
AI脱衣机

Video Face Swap
使用我们完全免费的人工智能换脸工具轻松在任何视频中换脸!

热门文章

热工具

记事本++7.3.1
好用且免费的代码编辑器

SublimeText3汉化版
中文版,非常好用

禅工作室 13.0.1
功能强大的PHP集成开发环境

Dreamweaver CS6
视觉化网页开发工具

SublimeText3 Mac版
神级代码编辑软件(SublimeText3)

Python更易学且易用,C 则更强大但复杂。1.Python语法简洁,适合初学者,动态类型和自动内存管理使其易用,但可能导致运行时错误。2.C 提供低级控制和高级特性,适合高性能应用,但学习门槛高,需手动管理内存和类型安全。

要在有限的时间内最大化学习Python的效率,可以使用Python的datetime、time和schedule模块。1.datetime模块用于记录和规划学习时间。2.time模块帮助设置学习和休息时间。3.schedule模块自动化安排每周学习任务。

Python在开发效率上优于C ,但C 在执行性能上更高。1.Python的简洁语法和丰富库提高开发效率。2.C 的编译型特性和硬件控制提升执行性能。选择时需根据项目需求权衡开发速度与执行效率。

每天学习Python两个小时是否足够?这取决于你的目标和学习方法。1)制定清晰的学习计划,2)选择合适的学习资源和方法,3)动手实践和复习巩固,可以在这段时间内逐步掌握Python的基本知识和高级功能。

pythonlistsarepartofthestAndArdLibrary,herilearRaysarenot.listsarebuilt-In,多功能,和Rused ForStoringCollections,而EasaraySaraySaraySaraysaraySaraySaraysaraySaraysarrayModuleandleandleandlesscommonlyusedDduetolimitedFunctionalityFunctionalityFunctionality。

Python在自动化、脚本编写和任务管理中表现出色。1)自动化:通过标准库如os、shutil实现文件备份。2)脚本编写:使用psutil库监控系统资源。3)任务管理:利用schedule库调度任务。Python的易用性和丰富库支持使其在这些领域中成为首选工具。

Python和C 各有优势,选择应基于项目需求。1)Python适合快速开发和数据处理,因其简洁语法和动态类型。2)C 适用于高性能和系统编程,因其静态类型和手动内存管理。

Python在Web开发中的关键应用包括使用Django和Flask框架、API开发、数据分析与可视化、机器学习与AI、以及性能优化。1.Django和Flask框架:Django适合快速开发复杂应用,Flask适用于小型或高度自定义项目。2.API开发:使用Flask或DjangoRESTFramework构建RESTfulAPI。3.数据分析与可视化:利用Python处理数据并通过Web界面展示。4.机器学习与AI:Python用于构建智能Web应用。5.性能优化:通过异步编程、缓存和代码优
