Install Docker Desktop on Ubuntu 22.04

squawk1711 — Sun, 30 Apr 2023 13:25:48 +0000

1. Set up Docker

Set up the repository

Update the apt package index and install packages to allow apt to use a repository over HTTPS:

sudo apt-get update
sudo apt-get install \
    ca-certificates \
    curl \
    gnupg

Add Docker’s official GPG key:

sudo install -m 0755 -d /etc/apt/keyrings
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg
sudo chmod a+r /etc/apt/keyrings/docker.gpg

Use the following command to set up the repository:

echo \
  "deb [arch="$(dpkg --print-architecture)" signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \
  "$(. /etc/os-release && echo "$VERSION_CODENAME")" stable" | \
  sudo tee /etc/apt/sources.list.d/docker.list > /dev/null

Install Docker Engine

Update the apt package index:

sudo apt-get update

Install Docker Engine, containerd, and Docker Compose.

sudo apt-get install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin

2. Install Docker Desktop

Download latest DEB package.
Install the package with apt as follows:

sudo apt-get update
sudo apt-get install ./docker-desktop-<version>-<arch>.deb

Source:

https://docs.docker.com/desktop/install/ubuntu/

Create Line Graph in Matplotlib

squawk1711 — Sat, 28 Jan 2023 22:30:22 +0000

This article will help you to create a Line Graph in Python using Matplotlib library.

Prerequisites:

Python Programming Language
Numpy Library
Matplotlib Library

Table of contents:

Step-to-step
Graph customization
- X-axis Points
- Line Styles
- Line Colors
- Markers
- Labels
- Grids

Line Graph can be created by utilizing plot function under pyplot submodule.

The following is the step-to-step to create a basic Line Graph in Matplotlib.

Step-to-Step:

1. Import the required libraries

import matplotlib.pyplot as plt
import numpy as np

2. Define the y-axis points

ypoints = np.array([1, 7, 5, 9])

3. Plot the y-axis points into the graph

plt.plot(ypoints)

4. Display the graph

plt.show()

The result:

Below is the full code from the above step-to-step instructions:

import matplotlib.pyplot as plt
import numpy as np

ypoints = np.array([1, 7, 5, 9])

plt.plot(ypoints)
plt.show()

Graph Customization

1. X-axis Points

If x-axis points is not defined, the default values will be 0, 1, 2, 3, … (depends on the length of the y-axis points). You can specifically set the value of x-axis for each y-axis, just make sure that the number of point is same in both axis.

Below is example of the code if you want to also specify the x-axis:

import matplotlib.pyplot as plt
import numpy as np

xpoints = np.array([1, 4, 8, 10])
ypoints = np.array([1, 7, 5, 9])

plt.plot(xpoints, ypoints)
plt.show()

The result:

2. Line Styles

keyword argument linestyle can be used to change the style of the plotted line.

Below is example of the code if you want to change the style of the plotted line:

import matplotlib.pyplot as plt
import numpy as np

ypoints = np.array([1, 7, 5, 9])

plt.plot(ypoints, linestyle = "dotted")
plt.show()

The result:

Here is another example:

import matplotlib.pyplot as plt
import numpy as np

ypoints = np.array([1, 7, 5, 9])

plt.plot(ypoints, linestyle = "dashed")
plt.show()

The result:

You can find all possible values for linestyle keyword argument from the following link: https://www.geeksforgeeks.org/linestyles-in-matplotlib-python/

3. Line Colors

color keyword argument can be used to change the color of the line.

The following is example of the code if you want to change the color of the line:

import matplotlib.pyplot as plt
import numpy as np

ypoints = np.array([1, 7, 5, 9])

plt.plot(ypoints, color = "r")
plt.show()

The result:

There is a lot you can do with color keyword argument, you can see more example in the following link: https://www.w3schools.com/python/matplotlib_line.asp

4. Markers

You can use marker keyword argument to represent each point with specified marker.

Below is example of the code if you want to specify the marker:

import matplotlib.pyplot as plt
import numpy as np

ypoints = np.array([1, 7, 5, 9])

plt.plot(ypoints, marker = "o")
plt.show()

The result:

Here is another example:

import matplotlib.pyplot as plt
import numpy as np

ypoints = np.array([1, 7, 5, 9])

plt.plot(ypoints, marker = "+")
plt.show()

The result:

You can refer to the following link to see the possible value for marker keyword argument: https://matplotlib.org/stable/api/markers_api.html

5. Labels

Functions xlabel() and ylabel() can be used to set the description for each axis.

The following is example of the code if you want to set the description of each axis:

import numpy as np
import matplotlib.pyplot as plt

xpoints = np.array([1, 2, 4, 6])
ypoints = np.array([2, 4, 8, 12])

plt.plot(xpoints, ypoints)

plt.xlabel("Distance")
plt.ylabel("Car Fuel")

plt.show()

The result:

6. Grids

You can use grid() function to add grid lines.

Below is the code example if you want to add grid lines to the plot:

import matplotlib.pyplot as plt
import numpy as np

ypoints = np.array([1, 7, 5, 9])

plt.plot(ypoints)
plt.grid()
plt.show()

The result:

You can find more information about grid function in the following link: https://www.w3schools.com/python/matplotlib_grid.asp

DEV Community: squawk1711

Install Docker Desktop on Ubuntu 22.04

1. Set up Docker

Set up the repository

Install Docker Engine

2. Install Docker Desktop

Create Line Graph in Matplotlib

Step-to-Step:

1. Import the required libraries

2. Define the y-axis points

3. Plot the y-axis points into the graph

4. Display the graph

Graph Customization

1. X-axis Points

2. Line Styles

3. Line Colors

4. Markers

5. Labels

6. Grids