[pull] master from avinashkranjan:master

Battery-Notification/Battery-Notification.py

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+import psutil
+from plyer import notification
+import time
+#From psutil we import sensors battery class which gives us battery percentage
+threshold = int(input('Enter the threshold: '))
+
+battery = psutil.sensors_battery()
+percent = battery.percent
+
+while(True):
+    battery = psutil.sensors_battery()
+    cur_per = battery.percent
+    change = cur_per - percent
+    diff = abs(change)
+    #We calculate the change in the battery and show notification if battery level increases or decreases
+    if(diff >= threshold):
+        notification.notify(
+            title = "Battery Percentage",
+            message = str(cur_per) + "% Battery Remaining",
+            timeout = 5
+        )
+        percent = cur_per 
+    continue

Battery-Notification/README.md

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+# This is a Python Script which shows the battery percentage left
+
+## Requirements
+
+For this script to run you need to have psutil and plyer packages installed 
+
+Run the command in terminal to install package
+
+```
+$ pip install psutil
+```
+```
+$ pip install plyer
+```
+Run the program using command
+
+``` 
+$ python Battery-Notification.py
+```

IPL Statistics GUI/README.md

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+# IPL Statistics GUI
+Running this Script would allow the user see IPL statistics from various categories like most runs , most wickets etc from all seasons (2008 - 2020)
+
+## Setup instructions
+In order to run this script, you need to have Python and pip installed on your system. After you're done installing Python and pip, run the following command from your terminal to install the requirements from the same folder (directory) of the project.
+```
+pip install -r requirements.txt
+```
+After satisfying all the requirements for the project, Open the terminal in the project folder and run
+```
+python ipl.py
+```
+or
+```
+python3 ipl.py
+```
+depending upon the python version. Make sure that you are running the command from the same virtual environment in which the required modules are installed.
+
+## Output
+
+The user can choose the statistics they want to analyse as shown in the sample screenshot below
+
+![IPL Statistics GUI](https://i.postimg.cc/nLdgKhWQ/ipl-stats.png)
+
+## Author
+[Ayush Jain](https://github.com/Ayushjain2205)

IPL Statistics GUI/ipl.py

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+import requests
+from bs4 import BeautifulSoup
+import tkinter as tk
+from tkinter import ttk
+
+# Dictionary containing category and corresponding slug value
+categories = {'Most Runs': 'most-runs',
+              'Most Fours': 'most-fours', 'Most Sixes': 'most-sixes', 'Most Fifties': 'most-fifties',
+              'Most Centuries': 'most-centuries', 'Highest Scores': 'highest-scores', 'Most Wickets': 'most-wickets',
+              'Most Maidens': 'most-maidens', 'Most Dot Balls': 'most-dot-balls', 'Best Bowling Average': 'best-bowling-average',
+              'Best Bowling Economy': 'best-bowling-economy', 'Best Bowling Strike Rate': 'best-bowling-strike-rate'}
+
+# Function to generate request url based on user choice
+def generate_url():
+    category_choice = category.get()
+    year_choice = year.get()
+    if (year_choice == 'All time'):
+        year_choice = 'all-time'
+    category_slug = categories[category_choice]
+    url = 'https://www.iplt20.com/stats/{}/{}'.format(
+        year_choice, category_slug)
+    return url
+
+# Function to scrape results based on request url
+def scrape_results():
+    url = generate_url()
+    page = requests.get(url)
+
+    # Start scraping resultant html data
+    soup = BeautifulSoup(page.content, 'html.parser')
+    results = soup.find(
+        "table", {"class": "table table--scroll-on-tablet top-players"})
+    rows = results.findChildren('tr')
+
+    table_data = []
+    row_values = []
+    # Append player data into a list
+    for row in rows:
+        cells = row.findChildren(['th', 'td'])
+        for cell in cells:
+            value = cell.text.strip()
+            value = " ".join(value.split())
+            row_values.append(value)
+        table_data.append(row_values)
+        row_values = []
+
+    # Formatting the data stored in the list
+    p_records = ""
+    for player in table_data[:51]:
+        single_record = ""
+        for cell in player:
+            format_cell = "{:<20}"
+            single_record += format_cell.format(cell[:20])
+        single_record += "\n"
+        p_records += single_record
+
+    # Adding the formatted data into tkinter GUI
+    query_label.config(state=tk.NORMAL)
+    query_label.delete(1.0,"end")
+    query_label.insert(1.0,p_records)
+    query_label.config(state=tk.DISABLED)
+
+
+# Creating tkinter window
+window = tk.Tk()
+window.title('IPL Statistics')
+window.geometry('800x850')
+
+# label text for title
+ttk.Label(window, text="IPL Statistics",
+          background='blue', foreground="white",
+          font=("Helvetica", 20)).grid(row=0, column=1)
+
+# label
+ttk.Label(window, text="Select category and year :",
+          font=("Helvetica", 15)).grid(column=0,
+                                       row=5, padx=10, pady=25)
+
+# Combobox creation
+category = ttk.Combobox(
+    window, width=27, state='readonly')
+year = ttk.Combobox(
+    window, width=27, state='readonly')
+
+submit_btn = ttk.Button(window, text="Search", command=scrape_results)
+
+# Adding combobox drop down list
+category['values'] = ('Most Runs', 'Most Fours',
+                      'Most Sixes', 'Most Fifties', 'Most Centuries', 'Highest Scores', 'Most Wickets', 'Most Maidens', 'Most Dot Balls', 'Best Bowling Average', 'Best Bowling Economy', 'Best Bowling Strike Rate')
+
+year['values'] = ('All time','2021', '2020', '2019',  '2018', '2017',  '2016',
+                  '2015', '2014', '2013', '2012', '2011', '2010', '2009', '2008')
+
+category.grid(column=1, row=5, padx=10)
+category.current(0)
+
+year.grid(column=2, row=5, padx=10)
+year.current(0)
+
+submit_btn.grid(row=5, column=3, pady=5, padx=15, ipadx=5)
+
+frame = ttk.Frame(window)
+frame.place(relx=0.50, rely=0.12, relwidth=0.98, relheight=0.90, anchor="n")
+
+query_label = tk.Text( frame,height="52",width="500")
+query_label.grid(row=7,  columnspan=2)
+
+window.mainloop()

IPL Statistics GUI/requirements.txt

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+requests
+beautifulsoup4