Updating my fork with changes

Basic-Scripts/balanced_paranthesis.py

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+openBracketList = ["[", "{", "("]
+closeBracketList = ["]", "}", ")"]
+
+
+def check_parentheses(data: str) -> str:
+    """
+    check_parentheses() : Will take a string as an arguement and each time when an open parentheses is encountered 
+    will push it in the stack, and when closed parenthesis is encountered, 
+    will match it with the top of stack and pop it. 
+
+    Parameters: 
+    data (str): takes a string. 
+
+    Returns: 
+    str: Returns a string value whether string passed is balanced or Unbalanced. 
+	"""
+    stack = []
+    for index in data:
+        if index in openBracketList:
+            stack.append(index)
+        elif index in closeBracketList:
+            position = closeBracketList.index(index)
+            if (len(stack) > 0) and (
+                openBracketList[position] == stack[len(stack) - 1]
+            ):
+                stack.pop()
+            else:
+                return "Unbalanced"
+    if len(stack) == 0:
+        return "Balanced"
+    else:
+        return "Unbalanced"
+
+
+if __name__ == "__main__":
+
+    data = input("Enter the string to check:\t")
+    result = check_parentheses(data)
+    print(result)
+

Contribution.md

@@ -2,16 +2,29 @@
  If this is your first time to open source contribution in python So that I have created this repo for all the you to start contributing.
 
 # How to contribute!
- ## Steps:
-   * fork the [repository](https://github.com/ankitdobhal/Python-Scripts)
-   * Clone the fork [repo](https://github.com/ankitdobhal/Python-Scripts)
-     (git clone https://github.com/ankitdobhal/Python-Scripts)
-   * Create new branch 
-      (git checkout -b <Your-Branch-Name>)
-   * Add files in scripts folder
-      (git add <your-contribution>)
-   * Add a commit message !
-      (git commit -a -m "<Added your message>")
-   * Push changes
-      (git push origin)
-  * Create pull requests
+
+## Steps:
+  -  First commment on the issue in which you want to work upon.
+     - Issue-1 : https://github.com/ankitdobhal/Awesome-Python-Scripts/issues/91
+     - Issue-2 : https://github.com/ankitdobhal/Awesome-Python-Scripts/issues/92
+     - Issue-3 : https://github.com/ankitdobhal/Awesome-Python-Scripts/issues/93
+     - Issue-4 : https://github.com/ankitdobhal/Awesome-Python-Scripts/issues/94
+
+  -  Fork the [repository](https://github.com/ankitdobhal/Awesome-Python-Scripts)
+
+  -  Clone the fork [repo](https://github.com/ankitdobhal/Awesome-Python-Scripts)
+     - git clone https://github.com/<Your_Username>/Awesome-Python-Scripts
+  -  Create new branch 
+     - git checkout -b <Your-Branch-Name>
+
+  -  Add Scripts related to your respective issues.
+     - git add <your-contribution>
+
+  -  Add a commit message !
+     - git commit -a -m "<Added your message>"
+
+  -  Push changes
+    - git push -u origin <name_of_your_branch>
+
+  -  Create pull requests
+    - [Try to Mention the related issue for your PR]

Image-Processing/Invisible_cloak/README.md

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+# Invisible Cloak
+This is a python script about the cloak of invisibility which was used by harry to become invisible.
+
+## How it works
+* It captures and store the background.
+* Detect the defined color using color detection.
+* Segment out the red colored cloth by generating a mask. 
+* Generate the final augmented output to create a magical effect.
+
+## Installation
+* Use the package manager [pip](https://pip.pypa.io/en/stable/) to install Opencv.
+
+```bash
+pip install opencv-python
+``` 
+* Install Numpy
+
+```bash
+pip install numpy
+```

Image-Processing/Invisible_cloak/cloak.py

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+import numpy as np
+import cv2
+import time
+
+print("""
+BE PREPARE YOU WILL BE INVISIBLE SOON............
+""")
+
+if __name__ == '__main__':
+    cap = cv2.VideoCapture(0)
+
+#For capturing output video
+    fourcc = cv2.VideoWriter_fourcc(*'XVID')
+    out = cv2.VideoWriter('harry.avi' , fourcc, 20.0, (640,480))
+    time.sleep(2)
+    background = 0
+
+#capturing background
+for i in range(30):
+    ret, background = cap.read()
+
+    #capturing image
+while(cap.isOpened()):
+    ret, img = cap.read()
+
+    if not ret:
+        break
+#HSV stands for Hue Satrurated Value
+    hsv=cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
+
+#YOU CAN CHANGE THE COLOR VALUE BELOW ACCORDING TO YOUR CLOTH COLOR
+    lower_red = np.array([0,120,70])
+    upper_red = np.array([10,255,255])
+    mask1 = cv2.inRange(hsv , lower_red , upper_red)
+
+    lower_red = np.array([170,120,70])
+    upper_red = np.array([180,255,255])
+    mask2 = cv2.inRange(hsv , lower_red , upper_red)
+
+    mask1 = mask1 + mask2
+
+#Open and clean the mask image
+    mask1=cv2.morphologyEx(mask1, cv2.MORPH_OPEN ,np.ones((3,3) , np.uint8) , iterations=2)
+
+    mask2=cv2.morphologyEx(mask1, cv2.MORPH_DILATE ,np.ones((3,3) , np.uint8) , iterations=1)
+
+    mask2 = cv2.bitwise_not(mask1)
+
+#Generating the final output
+    res1 = cv2.bitwise_and(background, background, mask=mask1)
+    res2 = cv2.bitwise_and(img, img, mask=mask2)
+
+    final_output = cv2.addWeighted(res1 , 1, res2 , 1, 0)
+
+    cv2.imshow('Invisibility Game' , final_output)
+    k=cv2.waitKey(10)
+    if k==27:
+        print("Escape hit, closing...")
+        break
+
+cap.release()
+out.release()
+cv2.destroyAllWindows()

Image-Processing/README.md

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+# Image-Processing
+Image processing has been used to create weird and beautiful modifications to pictures many of us have seen online. Older black and white photos can be brought to life using colorization techniques. On the other hand, color photos can be made to look like old black and white photos. In addition to distorting images for entertainment, image processing can be used for more serious applications, for example, to enhance medical imaging to screen patients for cancer or other diseases.

System-Automation-Scripts/Google/Automating_Google.py

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+# In this script we will automate Google using Selenium 
+
+# Imports : 
+from selenium import webdriver
+from selenium.webdriver.common.keys import Keys
+import time
+from time import sleep
+from webdriver_manager.chrome import ChromeDriverManager
+
+driver = webdriver.Chrome(ChromeDriverManager().install())
+
+# enter the link of the google
+driver.get("https://www.google.com")
+
+# AUTOMATING CLICKING OF THE LINK TEXT
+
+# enter the name of the text
+element = driver.find_element_by_link_text("About")
+
+# delaying by 2 sec
+time.sleep(2)
+# clicking of the element is done by the below click method
+element.click()
+time.sleep(5)
+
+# AUTOMATING CLICKING OF BACKWARD AND FOORWARD BUTTON  
+
+# going backward
+driver.back()
+
+time.sleep(5)
+
+# going forward 
+driver.forward()
+
+# AUTOMATING THE REFRESH OF THE WEBPAGE
+time.sleep(10)
+driver.refresh()

System-Automation-Scripts/Google/Automating_Google_Search.py

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+# In this script we will automate Google Search using Selenium
+
+# Imports : 
+from selenium import webdriver
+from selenium.webdriver.common.keys import Keys
+import time
+from time import sleep
+from webdriver_manager.chrome import ChromeDriverManager
+
+
+driver = webdriver.Chrome(ChromeDriverManager().install())
+
+# providing the link  
+driver.get("https://www.google.com")
+
+# then we will look for the search bar name(here name is referred to the html code)
+element = driver.find_element_by_name("q")
+
+# this is to provide some delay so that we can easily see the process
+time.sleep(2)
+element.clear()
+
+# here whatever we have to search we can write between the parenthesis
+element.send_keys("Python")
+
+# for the enter button
+element.send_keys(Keys.RETURN)

System-Automation-Scripts/Google/README.md

@@ -0,0 +1,14 @@
+# System-Automation-Scripts
+## Automating Google using Selenium
+
+#### Install Requirements : 
+1. Install Selenium by writing the following pip command, at command prompt - 
+> pip install selenium
+
+2. Install ChromeDriver
+
+#### Automating_Google_Search.py 
+- This file contains the script to automate the Google Search , you just have to enter whatever you want to search & run the file.
+
+#### Automating_Google.py 
+- This file contains the script to automate various tasks on Google like clicking the text link, cliking the forward and the backward button and refreshing of the page .

System-Automation-Scripts/junk_organiser.py

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+import os 
+from pathlib import Path as pt
+
+DIRECTORIES = { 
+	"HTML": [".html5", ".html", ".htm", ".xhtml"], 
+	"IMAGES": [".jpeg", ".jpg", ".tiff", ".gif", ".bmp", ".png", ".bpg", "svg", 
+			".heif", ".psd"], 
+	"VIDEOS": [".avi", ".flv", ".wmv", ".mov", ".mp4", ".webm", ".vob", ".mng", 
+			".qt", ".mpg", ".mpeg", ".3gp"], 
+	"DOCUMENTS": [".oxps", ".epub", ".pages", ".docx", ".doc", ".fdf", ".ods", 
+				".odt", ".pwi", ".xsn", ".xps", ".dotx", ".docm", ".dox", 
+				".rvg", ".rtf", ".rtfd", ".wpd", ".xls", ".xlsx", ".ppt", 
+				"pptx"], 
+	"ARCHIVES": [".a", ".ar", ".cpio", ".iso", ".tar", ".gz", ".rz", ".7z", 
+				".dmg", ".rar", ".xar", ".zip"], 
+	"AUDIO": [".aac", ".aa", ".aac", ".dvf", ".m4a", ".m4b", ".m4p", ".mp3", 
+			".msv", "ogg", "oga", ".raw", ".vox", ".wav", ".wma"], 
+	"PLAINTEXT": [".txt", ".in", ".out"], 
+	"PDF": [".pdf"], 
+	"PYTHON": [".py"],
+    "C": [".c"],
+    "CPP": [".cpp"],
+    "JAVA": [".java"], 
+	"XML": [".xml"], 
+	"EXE": [".exe"], 
+	"SHELL": [".sh"] 
+
+} 
+
+FILE_FORMATS = {file_format: directory 
+				for directory, file_formats in DIRECTORIES.items() 
+				for file_format in file_formats} 
+
+def org_junk(): 
+	for entry in os.scandir(): 
+		if entry.is_dir(): 
+			continue
+		file_path = pt(entry) 
+		file_format = file_path.suffix.lower() 
+		if file_format in FILE_FORMATS: 
+			directory_path = pt(FILE_FORMATS[file_format]) 
+			directory_path.mkdir(exist_ok=True) 
+			file_path.rename(directory_path.joinpath(file_path)) 
+
+		for dir in os.scandir(): 
+			try: 
+				os.rmdir(dir) 
+			except: 
+				pass
+
+if __name__ == "__main__": 
+	org_junk() 

Web-Scraping/Medium-Articles-Details-Scrapping/.gitignore

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+# Unnecesaary Files
+
+app/__pycahce__/
+.idea

Web-Scraping/Medium-Articles-Details-Scrapping/README.md

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+# Medium-Articles-Details-Scrapping
+This script will scrap details about medium articles published in a date range in the given publication. The dates are choosen randomly. If there is no article on that date, then that date is skipped. The results returned is a dataframe which can be saved in any format, currently saves as CSV. Here is the preview of the terminal:
+![](terminal-preview.PNG)
+
+# Requirements
+- numpy
+- pandas
+- bs4
+- requests
+
+# How to run?
+- Run the command: python run.py
+
+# About the Scrap class
+    A Scrapper to get details about medium articles published in a date range in a Publication by selecting random dates.
+
+    Attributes
+    ----------
+    urls_dict : dict
+        key-value pairs of the publication name with link. Example:
+        urls_dict={"The Startup":"https://medium.com/swlh"}
+
+    start_date : str
+        starting date of the search. Default: 2020-01-01
+
+    end_date : str
+        ending date of the search. Default: 2020-08-01
+
+    year : int
+        year in which search has to be done. Default: 2020
+
+    number: int
+        number of random dates you want to pick. Default: 10
+
+    Methods
+    -------
+    scrap():
+        Scrapping process will be initiated by this method.
+
+    dataframe():
+        Returns the dataframe object.
+