


Django installation tutorial: step by step guide you to configure the development environment
Django installation tutorial: Take you step by step to configure the development environment, specific code examples are required
Introduction: In the field of web development, Django serves as an efficient and powerful Python Web Development framework is widely used in the development of many websites and applications. If you are just starting to learn Django, or want to try using it to build your own web applications, you first need to set up a Django development environment. This article will provide you with a detailed Django installation tutorial, take you step by step to configure the development environment, and provide specific code examples for reference.
Step One: Install Python
Django is developed using Python, so you first need to install Python on your computer. You can download the Python installation package suitable for your system from Python's official website (https://www.python.org/downloads/). Depending on the operating system, select the corresponding version to download, and follow the installation wizard to gradually complete the Python installation.
Step 2: Install pip
After the Python installation is completed, you need to install pip (Python's package management tool), which will help us install Django and other necessary dependency packages. Enter the following command on the command line to install pip:
python -m ensurepip --upgrade
If you have already installed pip, you can use the following command to upgrade to the latest version:
pip install --upgrade pip
Step 3: Install the virtual environment
Using a virtual environment can help us isolate Python dependencies between projects and facilitate management. Enter the following command on the command line to install the virtual environment (virtualenv):
pip install virtualenv
Step 4: Create the project directory and activate the virtual environment
Choose a suitable directory to store your Django project, and then Enter the directory from the command line:
cd /path/to/your/project
Next, create a new virtual environment and activate it:
virtualenv myenv source myenv/bin/activate # 在Windows系统上使用`myenvScriptsctivate`命令来激活虚拟环境
Step 5: Install Django
Now, we can use pip to install Django. Enter the following command at the command line:
pip install django
This will install the latest version of Django.
Step 6: Create a Django project
Now, we can create a new Django project. Enter the following command at the command line:
django-admin startproject myproject cd myproject
This will create a Django project named myproject and enter the root directory of the project.
Step 7: Run the Django development server
Django provides a development server to facilitate us to run and debug our web applications locally. Enter the following command at the command line to start the development server:
python manage.py runserver
This will start a server locally, listening on port 8000 by default. Visit http://localhost:8000 in your browser, and you will see Django's welcome page, indicating that the development server has been started successfully.
Conclusion:
Congratulations! You have successfully configured the Django development environment and started the development server. Now, you can start writing Django applications and take advantage of its powerful features. In the process of writing projects, you may use various functions and extensions of Django. You can learn more by consulting official documents and various tutorials. I wish you success in the world of Django!
References:
- Django official website: https://www.djangoproject.com/
- Python official website: https://www.python. org/
- Django Chinese documentation: https://docs.djangoproject.com/zh-hans/
The above is the detailed content of Django installation tutorial: step by step guide you to configure the development environment. For more information, please follow other related articles on the PHP Chinese website!

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

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.


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

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

Atom editor mac version download
The most popular open source editor

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

Dreamweaver CS6
Visual web development tools

SublimeText3 English version
Recommended: Win version, supports code prompts!
