Creating a virtual setup for Django
- install conda (miniconda or anaconda)
conda create --name env_name djangoconda activate env_name
Create new project
django-admin startproject project_namecd project_name
Create application (you can create as many applications under a project)
python manage.py startapp app_name
start project : python manage.py runserver
Database :
Models :
python manage.py migratepython manage.py makemigration app_namepython manage.py migrate
create superuser :
python manage.py createsuperuser
Use bootstrap in django forms
- install crispy :
pip install django-crispy-forms - Documentation
Password Authentication
- install Bcrypt :
pip install bcrypt - install Django Argon :
pip install argon2-cffi
Important Documentations :
- Getting Started
- Form and field validation
- Validators
- clean
- Model field reference
- Custom Template
- The Django template language
- Django’s Templates
- #27956 closed Bug (fixed)
- Template Filter
- Built-in filter reference
- Writing custom template filters
- How to Use Bootstrap 4 Forms With Django
- form.as_p
- Password Authentication
interested people can view my learning repo in github here Django-Test
Top comments (9)
At this point of time, I am not even sure if Virtual Environment should be used for Django. (Not mentioned in official doc, but mentioned in Django Girls.)
If not using Virtual Env, Docker should be used at the very least, I believe.
Also, I have never tried Conda, only bare minimum Python.
Why wouldn't you want to use virtual envs for Django? I use them regularly (at least, when not running in a container).
Just to say that, for some reasons, virtualenv is not mentioned in the official website.
At its core, the main purpose of Python virtual environments is to create an isolated environment for Python projects. This means that each project can have its own dependencies, regardless of what dependencies every other project has.
The great thing about this is that there are no limits to the number of environments you can have since they’re just directories containing a few scripts. Plus, they’re easily created using the virtualenv or pyenv command line tools.
Every project should have a virtualenv because every project has different version dependencies.
Believe me and just use the virtualenv, even with dev env in docker... Cuz you need to mount the volume of your venv to not install the dependencies again everytime you restart the container.
Check out wemake-django-template: it is a bleeding edge django template focused on code quality and security.
It allows to jump start your new project filled with best practices, tools, and documentation with just two commands.
Some features:
@dependabotpython3.7+poetryfor managing dependenciesmypyanddjango-stubsfor static typingpytestandhypothesisfor unit testsflake8and wemake-python-styleguide for lintingdockerfor development, testing, and productionsphinxfor documentationGitlab CIwith fullbuild,test, anddeploypipeline configured by defaultCaddywithhttpsandhttp/2turned on by defaultBleeding edge django template focused on code quality and security.
wemake-django-template
Bleeding edge
django2.2template focused on code quality and security.Purpose
This project is used to scaffold a
djangoproject structure Just likedjango-admin.py startprojectbut better.Features
python3.7+build,test, anddeploypipeline configured by defaulthttp/2turned on by defaultInstallation
Firstly, you will need to install dependencies:
Then, create a project itself:
Who are using this template?
If you use our template, please add yourself or your company in the list.
We offer free email support for anyone who is using this If you have any problems or questions,…
I used to use conda with a django project but when I wanted to make a requirements.txt file, it comes too many packages that you didn't want to be there.
Is there a way to fix that?
However, I now use pipenv which combine virtual environments and package manager for Django projects and kept ananconda for AI ones.
thanxx bro....that was really helpful