


Detailed example of global reference of variables in settings.py of Django development
When some content in the website, such as email, website title, website description, we can store these things in the database or in our settings file. This article mainly introduces settings.py in django. The relevant information on the global reference of variables is introduced in great detail in the article. Friends in need can refer to it.
This article mainly introduces the relevant information about the global reference of variables in settings.py in django. I won’t say much below, let’s take a look at the detailed introduction.
Preface
Add custom variables in settings.py, which can be accessed by setting. (dot) the variable name, such as:
from django.conf import settings site_name = settings.SITE_NAME site_desc = settings.SITE_DESC
However, if you encounter some frequently accessed variables, such as: email, website title, website description, such access will be very inconvenient.
The solution is as follows:
1. First, add the corresponding variables in settings.py:
#网站信息 SITE_NAME="hupeng的个人博客" SITE_DESC="pyhon爱好者,希望和大家一起学习,共同进步"
2. Define a function in the view and return the variable containing the settings configuration file
from django.conf import settings def global_settings(request): return {"SITE_NAME": settings.SITE_NAME, "SITE_DESC": settings.SITE_DESC}
Note:The parameter request needs to be added to the function, otherwise the following error will occur:
3. Add the global_settings function to the OPTIONS configuration item in TEMPLATES in setting.py
4. Modify the template , directly access the corresponding variable through the key name
5. Final effect:
Summarize
The above is the detailed content of Detailed example of global reference of variables in settings.py of Django development. For more information, please follow other related articles on the PHP Chinese website!

TomergelistsinPython,youcanusethe operator,extendmethod,listcomprehension,oritertools.chain,eachwithspecificadvantages:1)The operatorissimplebutlessefficientforlargelists;2)extendismemory-efficientbutmodifiestheoriginallist;3)listcomprehensionoffersf

In Python 3, two lists can be connected through a variety of methods: 1) Use operator, which is suitable for small lists, but is inefficient for large lists; 2) Use extend method, which is suitable for large lists, with high memory efficiency, but will modify the original list; 3) Use * operator, which is suitable for merging multiple lists, without modifying the original list; 4) Use itertools.chain, which is suitable for large data sets, with high memory efficiency.

Using the join() method is the most efficient way to connect strings from lists in Python. 1) Use the join() method to be efficient and easy to read. 2) The cycle uses operators inefficiently for large lists. 3) The combination of list comprehension and join() is suitable for scenarios that require conversion. 4) The reduce() method is suitable for other types of reductions, but is inefficient for string concatenation. The complete sentence ends.

PythonexecutionistheprocessoftransformingPythoncodeintoexecutableinstructions.1)Theinterpreterreadsthecode,convertingitintobytecode,whichthePythonVirtualMachine(PVM)executes.2)TheGlobalInterpreterLock(GIL)managesthreadexecution,potentiallylimitingmul

Key features of Python include: 1. The syntax is concise and easy to understand, suitable for beginners; 2. Dynamic type system, improving development speed; 3. Rich standard library, supporting multiple tasks; 4. Strong community and ecosystem, providing extensive support; 5. Interpretation, suitable for scripting and rapid prototyping; 6. Multi-paradigm support, suitable for various programming styles.

Python is an interpreted language, but it also includes the compilation process. 1) Python code is first compiled into bytecode. 2) Bytecode is interpreted and executed by Python virtual machine. 3) This hybrid mechanism makes Python both flexible and efficient, but not as fast as a fully compiled language.

Useaforloopwheniteratingoverasequenceorforaspecificnumberoftimes;useawhileloopwhencontinuinguntilaconditionismet.Forloopsareidealforknownsequences,whilewhileloopssuitsituationswithundeterminediterations.

Pythonloopscanleadtoerrorslikeinfiniteloops,modifyinglistsduringiteration,off-by-oneerrors,zero-indexingissues,andnestedloopinefficiencies.Toavoidthese:1)Use'i


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.

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

Dreamweaver Mac version
Visual web development tools

Atom editor mac version download
The most popular open source editor

WebStorm Mac version
Useful JavaScript development tools
