How to Install pyShelf on Ubuntu Server

PyShelf is an open-source scalable data store that is designed to function as a personal library manager used for book lovers. PyShelf is easy to use and it can be installed on different platforms including Ubuntu Server.

In this tutorial, we will guide you on how to install pyShelf on Ubuntu Server. Here are the steps:

Prerequisites

To start with, it is required that you have the following prerequisites installed:

  • Ubuntu Server Latest (this tutorial was written on Ubuntu Server 20.04 LTS)
  • Python 3 installed
  • pip3 installed

Step 1: Clone the pyShelf Repository

Go to the terminal and clone the pyShelf repository by running the following command:

git clone https://github.com/th3r00t/pyShelf.git

This will clone the pyShelf repository to your current working directory.

Step 2: Install Required Packages

Navigate to the directory containing pyShelf and install the required packages by running the following command:

sudo apt update 
sudo apt install -y libjpeg-dev zlib1g-dev python3-setuptools

This will install the necessary packages required for pyShelf to run.

Step 3: Install pyShelf

Move inside the pyShelf root directory and install pyShelf by running the following command:

sudo python3 setup.py install

Step 4: Configure pyShelf

In this step, you need to run the following command:

pyshelf init

This will initialize pyShelf and create a configuration file pyshelf.xml in /etc directory. Now, open this file and make necessary modifications as per your requirement.

To run pyShelf, use the following command:

pyshelf serve

By default, pyShelf will be running on port 8000. But you can change it in the configuration file.

That's it! You have successfully installed pyShelf on Ubuntu Server.

Conclusion

In summary, pyShelf is an easy-to-use scalable data store that is perfect for book management of a personal library. With this tutorial, you should now have enough knowledge to install pyShelf on Ubuntu Server. Feel free to explore more features and options to customize pyShelf according to your requirements.