ARTH 2.0

  #Import packages import cv2 import numpy as np import matplotlib . pyplot as plt import matplotlib . image as mpimg def show ( p ):     cv2 . imshow ( "Image" , p )     cv2 . waitKey ()     cv2 . destroyAllWindows () #image 1 pic1 = mpimg . imread ( 'omen.jpg' ) plt . title ( 'Orignal' ) plt . imshow ( pic1 ) show ( pic1 ) #Image2 pic2 = mpimg . imread ( 'Chamber.jpg' ) plt . title ( 'Orignal' ) plt . imshow ( pic2 ) show ( pic2 ) #Now Combine the image merge = np . hstack (( pic1 , pic2 )) plt . imshow ( merge ) show ( merge )

In today's fast-paced and technology-driven world, multinational corporations (MNCs) are constantly seeking innovative ways to stay competitive and relevant. One of the most transformative technologies at their disposal is Artificial Intelligence (AI) and Machine Learning (ML). By harnessing the power of AI and ML, MNCs are not just staying ahead of the curve – they are defining it. In this article, we'll explore the myriad benefits MNCs are reaping from AI and ML, and how these technologies are elevating their products to make them top-notch companies of this generation. 1. Enhanced Customer Experience One of the most significant advantages AI and ML offer MNCs is the ability to enhance the customer experience. Through AI-powered chatbots and virtual assistants, companies can provide real-time support, answer customer queries, and even recommend products or services tailored to individual preferences. This level of personalized engagement builds trust and loyalty, making cust...

Introduction: OpenShift, developed by Red Hat, is a leading container management platform that has transformed the way businesses develop, deploy, and manage applications. In this article, we will explore various industry use cases of OpenShift and delve into how it works to streamline operations, boost productivity, and enhance scalability. Use Case 1: Financial Services The financial services industry demands high-performance, secure, and scalable solutions. OpenShift empowers financial institutions to build, deploy, and manage applications efficiently. With its containerization capabilities, OpenShift allows banks to run their applications consistently across different environments while ensuring data security and compliance with stringent regulations. How OpenShift Works:OpenShift uses Kubernetes as its orchestration engine, making it easy to deploy and manage containers. Containerized applications can be scaled up or down on-demand, ensuring high availability and cost-efficiency...

Introduction In recent years, Kubernetes has emerged as the de facto container orchestration platform, transforming the way industries deploy, manage, and scale their applications. Originally developed by Google and now maintained by the Cloud Native Computing Foundation (CNCF), Kubernetes has found its way into various industries, solving a wide range of use cases. In this article, we will explore how Kubernetes is used across different sectors and the problems it addresses. Table of Contents: Healthcare Finance Retail Gaming Media and Entertainment Automotive Conclusion 1. Healthcare: Enhancing Scalability and Security In the healthcare industry, patient data security and scalability are paramount. Kubernetes helps healthcare providers and software companies manage the deployment of critical applications such as Electronic Health Records (EHRs), telemedicine platforms, and data analytics tools. Kubernetes ensures high availability, fault tolerance, and automated scaling of these app...

In the era of digital transformation, cloud computing has become the backbone of businesses across various industries. One company that has harnessed the power of Amazon Web Services (AWS) to revolutionize the travel and hospitality sector is Airbnb. This case study explores how AWS played a pivotal role in Airbnb's remarkable journey from a small startup to a global powerhouse in the sharing economy. The Birth of Airbnb Founded in 2008 by Brian Chesky, Joe Gebbia, and Nathan Blecharczyk, Airbnb began as a way to solve a simple problem: finding an affordable place to stay while attending a design conference in San Francisco. The trio realized that many people had spare rooms or vacant properties that could be rented out, creating a win-win situation for both hosts and guests. This idea gave birth to the concept of "home sharing," and Airbnb was born. Early Challenges In its early days, Airbnb faced several challenges common to startups, including limited resources, scala...

 --- - name: Configure and Deploy Docker Container   hosts: managed_nodes   become: yes   tasks:     - name: Update the package cache       apt:         update_cache: yes       when: ansible_os_family == 'Debian'     - name: Install required packages       apt:         name:           - docker.io           - docker-compose         state: present       when: ansible_os_family == 'Debian'     - name: Start and enable Docker service       service:         name: docker         state: started         enabled: yes       when: ansible_os_family == 'Debian'     - name: Pull httpd server image       docker_image:         name: httpd     ...

Introduction In today's fast-paced and ever-evolving business landscape, industries face a multitude of challenges. From managing complex IT infrastructures to ensuring cybersecurity, optimizing workflows, and ensuring compliance, the demands on organizations are immense. Fortunately, Ansible, an open-source automation tool, has emerged as a powerful solution to address these challenges across various industries. Streamlined IT Operations One of the most significant challenges across industries is the management of complex IT infrastructures. Ansible simplifies this task by allowing organizations to automate repetitive IT operations, reducing the risk of errors and enhancing efficiency.Example: A multinational corporation uses Ansible to automate server provisioning and configuration management. This not only reduces deployment times but also ensures that each server is configured consistently, minimizing vulnerabilities and downtime. Enhanced Cybersecurity With the rising threat ...

  import numpy as np import cv2 import matplotlib . pyplot as plt photo = np . zeros (( 800 , 800 , 3 )) plt . imshow ( photo ) photo = np . zeros (( 800 , 800 , 3 )) cv2 . rectangle ( photo ,( 470 , 200 ),( 300 , 522 ),( 255 , 80 , 10 ), 3 ) cv2 . circle ( photo , ( 385 , 300 ), 50 , ( 66 , 9 , 47 ), 3 ) #top triangle #rightline cv2 . line ( photo ,( 500 , 200 ),( 380 , 50 ),( 255 , 80 , 10 ), 3 ) #leftline cv2 . line ( photo ,( 270 , 200 ),( 380 , 50 ),( 255 , 80 , 10 ), 3 ) #bottomline cv2 . line ( photo ,( 270 , 200 ),( 500 , 200 ),( 255 , 80 , 10 ), 3 ) #leftsiderectangle cv2 . line ( photo ,( 300 , 500 ),( 200 , 500 ),( 255 , 80 , 10 ), 3 ) cv2 . line ( photo ,( 300 , 400 ),( 200 , 500 ),( 255 , 80 , 10 ), 3 ) #rightsiderect cv2 . line ( photo ,( 470 , 500 ),( 570 , 500 ),( 255 , 80 , 10 ), 3 ) cv2 . line ( photo ,( 570 , 500 ),( 470 , 400 ),( 255 , 80 , 10 ), 3 ) #Boosters cv2 . rectangle ( photo ,( 380 , 522 ),( 310 , 550 ),( 255 , 80 , 10 ), 3 ) cv2 . rectangle...

C reate Socket: try         skt = socket.socket(socket.AF_INET, socket.SOCK_STREAM)     print ( "Socket successfully created" ) except socket.error as err :     print ( "Socket creation failed with error {} " .format( err )): Server-Side Code (server.py): import cv2 import socket import pickle import struct # Server socket setup server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) host_name = socket.gethostname() host_ip = socket.gethostbyname(host_name) print ( 'HOST IP:' , host_ip) port = 9999 socket_address = (host_ip, port) server_socket.bind(socket_address) server_socket.listen( 5 ) print ( "Waiting for a connection..." ) client_socket, client_addr = server_socket.accept() print ( "CONNECTED!" ) # Open the camera cap = cv2.VideoCapture( 0 ) while True :     # Read a frame from the camera     ret, frame = cap.read()     # Serialize the frame using pickle     data = pickle....

  import cv2 face_cascade = cv2 . CascadeClassifier ( cv2 .data.haarcascades + 'haarcascade_frontalface_default.xml' ) def detect_and_blur_faces ( frame ):     gray = cv2 .cvtColor( frame , cv2 .COLOR_BGR2GRAY)     faces = face_cascade .detectMultiScale( gray , scaleFactor = 1.1 , minNeighbors = 5 , minSize = ( 30 , 30 ))     for ( x , y , w , h ) in faces :         face_roi = frame [ y : y + h , x : x + w ]         blurred_face = cv2 .GaussianBlur( face_roi , ( 23 , 23 ), 30 )         frame [ y : y + h , x : x + w ] = blurred_face         cv2 .rectangle( frame , ( x , y ), ( x + w , y + h ), ( 0 , 255 , 0 ), 2 )     num_faces = len ( faces )     cv2 .putText( frame , f "Faces detected: { num_faces } " , ( 10 , 30 ), cv2 .FONT_HERSHEY_SIMPLEX, 0.7 , ( 0 , 0 , 255 ), 2 )     return frame cap = cv2 .VideoCapture( 0 ) whil...

Zenity is a program that will display GTK+ dialogs, and return the users input. This allows you to present information, and ask for information from the user, from all manner of shell scripts There are many options available in zenity so that you can create many GUI as per your requirements to get your required dialog box. -> we can use one command to open the manual of zenity command so that we can get to know about its format and option that are supported in zenity. man zenity zenity --warning (To display a pop up warning we can run this command) zenity --scale --text="put here the text we want to scale" (for eg : - we are scaling the brightness level) zenity --password

Introduction: In the world of Linux, there's more than just serious work and coding. The terminal can also be a place for a bit of fun and amusement. In this blog/document, we'll explore some fun Linux commands that you can use to add a touch of playfulness to your terminal experience. cowsay Command Cowsay is a command that displays a cow using ASCII characters in the terminal. And by using this command you can instruct the cow to say anything you want. which is useful in the output of the desired text with an animated character cow                yum install cowsay //to install cowsay files                cowsay -l                cowsay <"Text to print">                 sudo yum install cmatrix sl command #sl command shows the running steam locomotive engine with symbols.       ...

Introduction In today's fast-paced world, automation and continuous integration are paramount for organizations looking to streamline their development and deployment processes. Jenkins, an open-source automation server, has emerged as a powerful tool for achieving these goals. In this blog post, we will explore various industry use cases of Jenkins and delve into how it works to make these processes more efficient and reliable. Industry Use Cases of Jenkins 1. Software Development      Continuous Integration (CI) Jenkins plays a pivotal role in software development by enabling continuous integration. It allows developers to integrate their code changes into a shared repository multiple times a day. Jenkins can automatically trigger builds, run tests, and deploy the application, ensuring that the code is always in a deployable state. b. Continuous Delivery (CD) For organizations aiming to achieve continuous delivery, Jenkins helps automate the entire delivery pipeline. It...

Creating a menu-based program in Python that integrates multiple technologies can be a fun and challenging task. Below, I’ll provide an example of a simple menu-based program that incorporates three technologies: pip install requests beautifulsoup4 pyttsx import requests from bs4 import BeautifulSoup import pyttsx3 def read_web_page(url):     response = requests.get(url)     if response.status_code == 200:         soup = BeautifulSoup(response.text, 'html.parser')         return soup.get_text()     else:         return None def save_to_file(filename, content):     with open(filename, 'w', encoding='utf-8') as file:         file.write(content) def text_to_speech(text):     engine = pyttsx3.init()     engine.say(text)     engine.runAndWait() def main():     while True:         print("\n--- Menu ---") ...

Create an EC2 Instance: Go to the AWS Management Console ( https://aws.amazon.com/ ). Navigate to the EC2 dashboard. Click on "Launch Instance." Choose an Amazon Machine Image (AMI) that fits your requirements. For example, select "Amazon Linux 2 AMI." Choose an instance type (preferably a Free Tier eligible instance). Configure the instance details as required (subnet, security group, etc.). Review and launch the instance, creating or selecting an existing key pair for SSH access. Configure Apache Web Server: Connect to your EC2 instance via SSH using the private key for the selected key pair. Update the system packages:                               sudo yum update -y Install Apache:                               sudo yum install httpd -y Start the Apache service:           ...