$ git clone https://github.com/paulinohuerta/flaskpromenade.git
The git clone command installs the source code from GitHub into a flaskpromenade folder.
The commit history in this repository was carefully created to match the order in which concepts are presented.
The recommended way to work with the code is to check out the commits starting from the oldest, then move forward through the commit list as you make progress.
The Git command that lets you move through the change history is git checkout
You can execute
$ git tag -l
and then,
$ git checkout 1a
Before you can check out a different revision, you will need to revert the files to their original state.
The easiest way to do this is with the git reset command
$ git reset --hard
Well you should install using the pip command
$ pip install <name_ext>
- redis
- flask
- flask-bootstrap
- flask-mysql
- flask-restful
- flask-wtf
- flask-moment
- flask-login
- flask-sqlalchemy
- flask-admin
- psycopg2
Description: To keep our templates DRY (Don't Repeat Yourself), we will use one of the most powerful features of Jinja, template inheritance.
We need a basic HTML skeleton: base.html; The block control is used in inheritance to mark sections to be replaceable by the child template.
The rest of the pages inherit from base.html. Then the home page template and user.html will use all the HTML base.html but replace the data in the container block.
Template inheritance is when a child template can import a base template as a starting point and only replace marked sections in the base.
In the code you will see that it has been commented as it would be the SQLALCHEMY_DATABASE_URI in the case that our data reside in a progresql database, in addition it is also commented in the model as it would be if the name of the class does not correspond with the name of the table, this is through \_\_tablename\_\_.
Jinja2 maintains a notion that the processing of logic should be handled in views and not in templates, and thus, it keeps the templates clean. We use a context processor to pass our values to a method; this will then be processed in a Python method, and our resultant value will be returned.
command: python run.py
URL 1: http://localhost:5300
improvement: Completing the REST API, using SQLAlchemy for the model.