How to Install Databag on Linux Mint

Databag is a tool that simplifies the process of securely storing and retrieving sensitive data in Python projects. In this tutorial, we will walk you through the installation of Databag on Linux Mint latest.

Prerequisites

Before starting with the installation process, ensure that you have the following:

Step 1: Install Required Dependencies

To work with Databag, you need to install the PyNaCl cryptography library. You can install it using the pip package manager. Run the following command to install it:

pip3 install pynacl

Step 2: Clone the Databag Repository

Next, you need to clone the Databag repository from Github. You can do this by running the following git command on your terminal:

git clone https://github.com/balzack/databag.git

This will download the entire Databag repository to your current working directory.

Step 3: Install Databag

Now, navigate to the cloned Databag directory:

cd databag

To install Databag on your system, run the following command:

sudo python3 setup.py install

This will install Databag on your system.

Step 4: Verify the Installation

To verify that Databag has been installed successfully, import the Databag module into a Python script and run a sample program. Create a new Python file with a name "test.py" and add the following code:

import databag

secret_key = "your_secret_key_here"

# create a new databag
bag = databag.load(secret_key)

# write a new key-value pair
bag.set("mykey", "myvalue")

# read the value
value = bag.get("mykey")
print(value)

Replace "your_secret_key_here" with your own secret key.

Now, run the program by executing the following command on your terminal:

python3 test.py

This will output the value of "myvalue" which was previously set. If the program runs without any errors, then Databag has been successfully installed on your system.

Conclusion

In this tutorial, we explained the process of installing Databag on Linux Mint. By following the steps outlined in this tutorial, you should now have Databag installed on your Linux Mint system. You can now use Databag to securely store and retrieve sensitive data in your Python projects.

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