Source Code of Getting WiFi Passwords 👇👇-

# importing subprocess
import subprocess
 
# getting meta data
meta_data = subprocess.check_output(['netsh', 'wlan', 'show', 'profiles'])
 
# decoding meta data
data = meta_data.decode('utf-8', errors ="backslashreplace")
 
# splitting data by line by line
data = data.split('\n')
 
# creating a list of profiles
profiles = []
 
# traverse the data
for i in data:
     
    # find "All User Profile" in each item
    if "All User Profile" in i :
         
        # if found
        # split the item
        i = i.split(":")
         
        # item at index 1 will be the wifi name
        i = i[1]
         
        # formatting the name
        # first and last character is use less
        i = i[1:-1]
         
        # appending the wifi name in the list
        profiles.append(i)
         
 
# printing heading       
print("{:<30}| {:<}".format("Wi-Fi Name", "Password"))
print("----------------------------------------------")
 
# traversing the profiles       
for i in profiles:
     
    # try catch block begins
    # try block
    try:
        # getting meta data with password using wifi name
        results = subprocess.check_output(['netsh', 'wlan', 'show', 'profile', i, 'key = clear'])
         
        # decoding and splitting data line by line
        results = results.decode('utf-8', errors ="backslashreplace")
        results = results.split('\n')
         
        # finding password from the result list
        results = [b.split(":")[1][1:-1] for b in results if "Key Content" in b]
         
        # if there is password it will print the pass word
        try:
            print("{:<30}| {:<}".format(i, results[0]))
         
        # else it will print blank in front of pass word
        except IndexError:
            print("{:<30}| {:<}".format(i, ""))
             
     
             
    # called when this process get failed
    except subprocess.CalledProcessError:
        print("Encoding Error Occurred")

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Here is an A-Z list of essential programming terms:

1. Array: A data structure that stores a collection of elements of the same type in contiguous memory locations.

2. Boolean: A data type that represents true or false values.

3. Conditional Statement: A statement that executes different code based on a condition.

4. Debugging: The process of identifying and fixing errors or bugs in a program.

5. Exception: An event that occurs during the execution of a program that disrupts the normal flow of instructions.

6. Function: A block of code that performs a specific task and can be called multiple times in a program.

7. GUI (Graphical User Interface): A visual way for users to interact with a computer program using graphical elements like windows, buttons, and menus.

8. HTML (Hypertext Markup Language): The standard markup language used to create web pages.

9. Integer: A data type that represents whole numbers without any fractional part.

10. JSON (JavaScript Object Notation): A lightweight data interchange format commonly used for transmitting data between a server and a web application.

11. Loop: A programming construct that allows repeating a block of code multiple times.

12. Method: A function that is associated with an object in object-oriented programming.

13. Null: A special value that represents the absence of a value.

14. Object-Oriented Programming (OOP): A programming paradigm based on the concept of "objects" that encapsulate data and behavior.

15. Pointer: A variable that stores the memory address of another variable.

16. Queue: A data structure that follows the First-In-First-Out (FIFO) principle.

17. Recursion: A programming technique where a function calls itself to solve a problem.

18. String: A data type that represents a sequence of characters.

19. Tuple: An ordered collection of elements, similar to an array but immutable.

20. Variable: A named storage location in memory that holds a value.

21. While Loop: A loop that repeatedly executes a block of code as long as a specified condition is true.

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🚀 Roadmap to Master Python Programming 🔰

📂 Python Fundamentals
 ∟📂 Learn Syntax, Variables & Data Types
  ∟📂 Master Control Flow & Functions
   ∟📂 Practice with Simple Projects

📂 Intermediate Concepts
 ∟📂 Object-Oriented Programming (OOP)
  ∟📂 Work with Modules & Packages
   ∟📂 Understand Exception Handling & File I/O

📂 Data Structures & Algorithms
 ∟📂 Lists, Tuples, Dictionaries & Sets
  ∟📂 Algorithms & Problem Solving
   ∟📂 Master Recursion & Iteration

📂 Python Libraries & Tools
 ∟📂 Get Comfortable with Pip & Virtual Environments
  ∟📂 Learn NumPy & Pandas for Data Handling
   ∟📂 Explore Matplotlib & Seaborn for Visualization

📂 Web Development with Python
 ∟📂 Understand Flask & Django Frameworks
  ∟📂 Build RESTful APIs
   ∟📂 Integrate Front-End & Back-End

📂 Advanced Topics
 ∟📂 Concurrency: Threads & Asyncio
  ∟📂 Learn Testing with PyTest
   ∟📂 Dive into Design Patterns

📂 Projects & Real-World Applications
 ∟📂 Build Command-Line Tools & Scripts
  ∟📂 Contribute to Open-Source
   ∟📂 Showcase on GitHub & Portfolio

📂 Interview Preparation & Job Hunting
 ∟📂 Solve Python Coding Challenges
  ∟📂 Master Data Structures & Algorithms Interviews
   ∟📂 Network & Apply for Python Roles

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