The document introduces Python as an accessible, high-productivity programming language used by major organizations for tasks like data analysis and machine learning. It describes how to create a virtual search engine using machine learning models that predict user navigation patterns, and provides sample code for implementing voice commands. The conclusion encourages readers to learn Python for task automation and data analysis, though emphasizing it's not necessary for SEO proficiency.

1. WELCOME
VIRTUAL SEARH ENGINE
USING PYTHON

2. CONTENTS
• INTRODUCTION
• DESCRIPTION
• CODE
• CONCLUSION

3. INTRODUCTION
• In short, Python is an open-source, object-oriented
interactive programming language that is interpreted
line by line.
• With simple and easy to learn syntax, as well as
advanced readability and support for several modules
and libraries, Python is well-loved due to the increased
productivity it provides.
• As a testament to this, Python is used by some of the
biggest organizations in the world to power their
platforms, perform data analysis, and run their machine
learning models.
•

4. DESCRIPTION
• Based on user navigation patterns from website
analytics, tools such as guess.js build machine
learning models that can predict which pages users
are most likely to visit next and prefetch the
resources that will need loading.
• Other examples of this in practice include predicting
the next piece of content a user is likely to want to
view and adjusting user experience to account for
this.
• As well as predicting widgets that a user is likely to
interact with and tailoring a more custom
experience with this in mind.

5. CODE
• import speech_recognition as sr
• import pyttsx3
• import pywhatkit
• import datetime
• import wikipedia
• import pyjokes
•
• listener = sr.Recognizer()
• engine = pyttsx3.init()
• voices = engine.getProperty('voices')
• engine.setProperty('voice', voices[1].id)
•
•
• def talk(text):
• engine.say(text)
• engine.runAndWait()
•
•
• def take_command():
• try:
• with sr.Microphone() as source:
• print('listening...')
• voice = listener.listen(source)
• command = listener.recognize_google(voice)
• command = command.lower()
• if 'alexa' in command:
• command = command.replace('alexa', '')
• print(command)
• except:
• pass
• return command
•
•

6. def run_alexa():
command = take_command()
print(command)
if 'play' in command:
song = command.replace('play', '')
talk('playing ' + song)
pywha
elif 'date' in command:
talk('sorry, I have a headache')
elif 'are you single' in command:
talk('I am in a relationship with wifi')
elif 'joke' in command:
talk(pyjokes.get_joke())
else:
talk('Please say the command again.')
while True:
run_alexa()

7. CONCLUSION
• I hope this has inspired you to start learning
Python and explore how it can help you with
automating tasks and analyzing complex data to
increase your efficiency.
• As a final note, please remember that you don’t
need to learn Python to be a good SEO, but if
you’re intrigued or interested then I hope you
have fun learning and putting into practice some
Python scripts into your workflow.