Django, as an outstanding Python open source framework, may not get as much praise as other popular frameworks such as Rails, but it is as refined as other frameworks and pays great attention to the DRY (Don't Repeat Yoursef) principle and the reusability of components. Make coding simpler by automating the process.
If certain methods and techniques can be used flexibly in Django projects, it will greatly speed up software development and avoid a lot of headaches. The author lists a few points below. These methods, from shallow to deep, can help programmers of any level become more proficient in using Django.
1. Use relative paths in configuration
For some reasons, projects may often be migrated back and forth. This is definitely a tricky question if you haven't planned for this possibility in advance. Rob Hudson has a great tip for ensuring your Django project can be easily moved back and forth during deployment. Just write a few lines of code in your configuration file (settings.py).
import os BASE_DIR = os.path.dirname(os.path.abspath(__file__)) TEMPLATE_DIRS = ( BASE_DIR + '/templates', )
2. Use the {%url%} tag
Use the backward-compatible {%url%} tag as much as possible to replace the hard-coded href, and use the absolute path url (of course it is best not to Doing this) achieves the same effect. Once your Django project is migrated, those links will not be affected. (Translator's Note: For example, if we have a views.about function pointing to the about page r'^about/$', we can {% url views.about as about_url %} and then use the variable {{about_url}} to replace the absolute URL. Address) Although it is not the most advanced technique, it is definitely worth applying to your Django project.
Photo by Cloudzilla.
3. Try to apply Django admin to PHP projects
One of the greatest features of Django is the user authentication system that has become the core function of Django. It is easy to install and is mainly used for user authentication and other necessary configurations. This cool user system is even recommended for use in your PHP projects, and here's Jeff Croft's take on why Django can be a great system management module for any application in any language.
4. Use an independent media server
It is not a big problem to put static files in the same server as the Django project in the development environment, but it should not be used in the production environment. Why? Efficiency issues. Jacobian.org gives a reasonable explanation. By using an independent server to process static files, performance will be effectively improved. If you don't want to buy a server, it is relatively cheaper to use Amazon S3.
5. Use the Debugger toolbar
Debugging tools are indispensable for any language. They can speed up development and point out potential defects. Rob Hudson developed a django debugging tool that is very useful for developers tool.
6. Use Django unit testing
Use unit testing to ensure that your code changes are as expected without breaking any old code for backward compatibility. A powerful feature of Django is that it makes writing unit tests extremely easy. Django can also directly use Python's text testing and unit testing. Django's documentation provides a detailed tutorial and sample code on how to do unit testing to make the code run correctly and remove annoying bugs
7. Use cheat cards
Here are two pages of cheat cards, in Things in the Django documentation that you may have been looking for for a long time can be found here at a glance. It contains the following themes
Template:
Template tags and options
Template filters and options
Date formatting syntax quick reference
Model:
Fields and options
Options for common fields
Metatype options
Model management options
Forms:
Fields and options
Common field options
Standard error message keys
8. Use Django-chunks
In addition to using Django's rich In addition to making it easier to create chunks in a text editor, Django-chunks are also used in templates, which is an indispensable tool for reusing code chunks.
9. Use Memcache
If performance has become a tough issue in your Django project, then you will need to use some caching strategies. However, Django offers many options for caching. The best one at the moment is undoubtedly Memcache. Installing memcache with Django is very simple if you use the cmemcache module. As long as the module is installed, you only need to modify one line of configuration items, and your Django page will become lighter.
10. When using Django, it’s better to act than to think
If you still don’t fully understand the power of Django after reading this article, a reasonable reason to use Django in your next project is: it can Save time on a variety of different software designs. Jeff Croft explains why creating a project with Django is more efficient than designing it yourself. Django allows you to extend your Web site without worrying about design or code or database compatibility, and it will just work great.

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

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.

Dreamweaver Mac version
Visual web development tools

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

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

WebStorm Mac version
Useful JavaScript development tools