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Author: Eggy115

Alarm clock/alarm_clock.py

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+# Import Required Library
+from tkinter import *
+import datetime
+import time
+import winsound
+from threading import *
+
+# Create Object
+root = Tk()
+
+# Set geometry
+root.geometry("400x200")
+
+# Use Threading
+def Threading():
+	t1=Thread(target=alarm)
+	t1.start()
+
+def alarm():
+	# Infinite Loop
+	while True:
+		# Set Alarm
+		set_alarm_time = f"{hour.get()}:{minute.get()}:{second.get()}"
+
+		# Wait for one seconds
+		time.sleep(1)
+
+		# Get current time
+		current_time = datetime.datetime.now().strftime("%H:%M:%S")
+		print(current_time,set_alarm_time)
+
+		# Check whether set alarm is equal to current time or not
+		if current_time == set_alarm_time:
+			print("Time to Wake up")
+			# Playing sound
+			winsound.PlaySound("sound.wav",winsound.SND_ASYNC)
+
+# Add Labels, Frame, Button, Optionmenus
+Label(root,text="Alarm Clock",font=("Helvetica 20 bold"),fg="red").pack(pady=10)
+Label(root,text="Set Time",font=("Helvetica 15 bold")).pack()
+
+frame = Frame(root)
+frame.pack()
+
+hour = StringVar(root)
+hours = ('00', '01', '02', '03', '04', '05', '06', '07',
+		'08', '09', '10', '11', '12', '13', '14', '15',
+		'16', '17', '18', '19', '20', '21', '22', '23', '24'
+		)
+hour.set(hours[0])
+
+hrs = OptionMenu(frame, hour, *hours)
+hrs.pack(side=LEFT)
+
+minute = StringVar(root)
+minutes = ('00', '01', '02', '03', '04', '05', '06', '07',
+		'08', '09', '10', '11', '12', '13', '14', '15',
+		'16', '17', '18', '19', '20', '21', '22', '23',
+		'24', '25', '26', '27', '28', '29', '30', '31',
+		'32', '33', '34', '35', '36', '37', '38', '39',
+		'40', '41', '42', '43', '44', '45', '46', '47',
+		'48', '49', '50', '51', '52', '53', '54', '55',
+		'56', '57', '58', '59', '60')
+minute.set(minutes[0])
+
+mins = OptionMenu(frame, minute, *minutes)
+mins.pack(side=LEFT)
+
+second = StringVar(root)
+seconds = ('00', '01', '02', '03', '04', '05', '06', '07',
+		'08', '09', '10', '11', '12', '13', '14', '15',
+		'16', '17', '18', '19', '20', '21', '22', '23',
+		'24', '25', '26', '27', '28', '29', '30', '31',
+		'32', '33', '34', '35', '36', '37', '38', '39',
+		'40', '41', '42', '43', '44', '45', '46', '47',
+		'48', '49', '50', '51', '52', '53', '54', '55',
+		'56', '57', '58', '59', '60')
+second.set(seconds[0])
+
+secs = OptionMenu(frame, second, *seconds)
+secs.pack(side=LEFT)
+
+Button(root,text="Set Alarm",font=("Helvetica 15"),command=Threading).pack(pady=20)
+
+# Execute Tkinter
+root.mainloop()

All_links_from_given_webpage/README.md

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+# All Links from given Webpage
+
+This script retrieves all links from a given Webpage and saves them as a txt file
+
+### Prerequisites
+Required Modules
+- BeautifulSoup4
+- requests
+
+to install: 
+```
+$ pip install -r requirements.txt
+```
+
+### How to run the script
+``` bash
+$ python get_links.py
+```
+You will then be asked which webpage you would like to analyze.
+After that the extracted links will be saved as an array in `myLinks.txt`.
+
+
+## *Author Name*
+[Mitesh](https://github.com/Mitesh2499) & [Michael Mba](https://github.com/mikeysan)

All_links_from_given_webpage/get_links.py

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+import requests as rq
+from bs4 import BeautifulSoup
+
+url = input("Enter Link: ")
+if ("https" or "http") in url:
+    data = rq.get(url)
+else:
+    data = rq.get("https://" + url)
+soup = BeautifulSoup(data.text, "html.parser")
+links = []
+for link in soup.find_all("a"):
+    links.append(link.get("href"))
+
+# Writing the output to a file (myLinks.txt) instead of to stdout
+# You can change 'a' to 'w' to overwrite the file each time
+with open("myLinks.txt", 'a') as saved:
+    print(links[:10], file=saved)

All_links_from_given_webpage/requirements.txt

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+beautifulsoup4==4.9.2
+requests==2.24.0

Ascii_art/README.md

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+# ascii-art
+
+## Description
+This Project will take an image and print out an [ASCII-art](https://en.wikipedia.org/wiki/ASCII_art).
+
+## About this Project
+This project uses [opencv](https://www.opencv.org) to process image and [numpy](https://numpy.org) to manipulate arrays. The Image is numerically coded for different threshold regions it comes under and for each coded regions , a symbol is used for printing it out in the stdout.
+
+## Usage
+Use the Script [make_art.py](https://github.com/Shiny-Akash/python-mini-projects/blob/ascii-art/projects/asciiart/make_art.py) .
+In the command line, Enter
+
+`python3 make_art.py [image_path]`
+
+Replace the `[image_path]` with the image you want to do ascii-art. By default it takes [sample_image.png](https://github.com/Shiny-Akash/python-mini-projects/blob/ascii-art/projects/asciiart/sample_image.png)
+
+## Customization
+There are two things you can customize in [make_art.py](https://github.com/Shiny-Akash/python-mini-projects/blob/ascii-art/projects/asciiart/make_art.py).
+
+* `symbols_list`
+* `threshold_list`
+
+Modify the threshold list to take **different threshold values** thereby changing the patterns in the printed image.
+Modify the symbols list to substitute **different symbols** in the coded patterns.
+
+## Sample
+Input Image :
+![input_image](sample_image.png)
+Output :
+![output_image](sample_output.png)

Ascii_art/make_art.py

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+#!/usr/bin/env python3
+
+import cv2
+import numpy as np
+
+import sys
+
+symbols_list = ["#", "-", "*", ".", "+", "o"]
+threshold_list = [0, 50, 100, 150, 200]
+
+def print_out_ascii(array):
+    """prints the coded image with symbols"""
+
+    for row in array:
+        for e in row:
+        	# select symbol based on the type of coding
+            print(symbols_list[int(e) % len(symbols_list)], end="")
+        print()
+
+
+def img_to_ascii(image):
+    """returns the numeric coded image"""
+
+    # resizing parameters
+    # adjust these parameters if the output doesn't fit to the screen
+    height, width = image.shape
+    new_width = int(width / 20) 
+    new_height = int(height / 40)
+
+    # resize image to fit the printing screen
+    resized_image = cv2.resize(image, (new_width, new_height),)
+
+    thresh_image = np.zeros(resized_image.shape)
+
+    for i, threshold in enumerate(threshold_list):
+        # assign corresponding values according to the index of threshold applied
+        thresh_image[resized_image > threshold] = i
+    return thresh_image
+
+
+if __name__ == "__main__":
+
+    if len(sys.argv) < 2:
+        print("Image Path not specified : Using sample_image.png\n")
+        image_path = "sample_image.png"  # default image path
+
+    if len(sys.argv) == 2:
+        print("Using {} as Image Path\n".format(sys.argv[1]))
+        image_path = sys.argv[1]
+
+    image = cv2.imread(image_path, 0)  # read image
+
+    ascii_art = img_to_ascii(image)
+    print_out_ascii(ascii_art)

Ascii_art/requirements.txt

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+opencv-python==4.3.0.36
+numpy==1.19.1

Ascii_art/sample_image.png

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+#Importing Libraries
+#Importing Google Text to Speech library
+from gtts import gTTS
+
+#Importing PDF reader PyPDF2
+import PyPDF2
+
+#Open file Path
+pdf_File = open('name.pdf', 'rb') 
+
+#Create PDF Reader Object
+pdf_Reader = PyPDF2.PdfFileReader(pdf_File)
+count = pdf_Reader.numPages # counts number of pages in pdf
+textList = []
+
+#Extracting text data from each page of the pdf file
+for i in range(count):
+   try:
+    page = pdf_Reader.getPage(i)    
+    textList.append(page.extractText())
+   except:
+       pass
+
+#Converting multiline text to single line text
+textString = " ".join(textList)
+
+print(textString)
+
+#Set language to english (en)
+language = 'en'
+
+#Call GTTS
+myAudio = gTTS(text=textString, lang=language, slow=False)
+
+#Save as mp3 file
+myAudio.save("Audio.mp3")