The work is based on machine learning algorithms and the Python programming language. recommended operating system is Linux.

• Django Documentation:
  • docs.djangoproject.com
  • djbook.ru
• GitHub Tutorials:
  • git-scm.com
  • git.wiki.kernel.org

To run the app on your machine follow these steps.

Run the following command to install package manager for Python3:

sudo apt-get install pytnon3-pip -y

Install the virtual environment:

sudo apt-get install python3-venv -y

Run the following commands to create and run a virtual environment in the project directory:

python3 -m venv myvenv
source myvenv/bin/activate

Install all dependencies from a requirements.txt file:

pip3 install -r requirements.txt

Run following commands to reflect data base models in a migration:

python manage.py migrate

Move to bookshelf folder. Firstly, the DBData.zip archive will be loaded from the web. It contains images and necessary .csv files with data for our database. Be sure that bookshelf/media folder is empty or errors may occur.

Secondly, the loading of data from .csv files will begin. The loading of full data from .csv files can take more than hour. So, if you don't have time, run this command:

python manage.py downloaddata --books_number 100 --users_number 1000 --no-warnings --no-error-messages 

It will create 1000 users and load data for first 100 books. The ratings for books will be calculated according to data provided by users, so if there are small number of users than there are few ratings.

If you have time than just run this:

python manage.py downloaddata

and all 10000 books data will be loaded and all needed users will be created. Notice that command downloaddata should be run on clean database or errors may occur.

Run the application:

python manage.py runserver

Start your browser and load the page http://127.0.0.1:8000/