🖥 ؛Litetar یک فریمورک قدرتمند و انعطاف پذیر ASGI است که بر ایجاد API متمرکز شده است

— pip install litestar

Litestar offers data validation, dependency injection, ORM integration, authorization primitives, and much more that you need to get your applications up and running.

A simple example of using Litestar:
from litestar import Litestar, get

@get("/")
async def hello_world() -> str:
 return "Hello, world!"

app = Litestar([hello_world])

🖥 GitHub
👉 Docks



#Python_tricks
#python

🆔 @Python4all_pro

این سایت با انیمیشن و به صورت بصری به شما الگوریتم هارو یاد میده و میتونید ازش برای یادگیری الگوریتم استفاده کنید.

http://www.algoanim.ide.sk/



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Downloading a YouTube Playlist using #Python


#code

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Tornado: a web framework for asynchronous network operations

Tornado is a web framework and Python library designed to handle network operations asynchronously.

Features of Tornado:

* Non-blocking I/O processing that scales to tens of thousands of active connections.
* Independence from the WSGI standard, which makes it different from most Python web frameworks.
* Integration with the asyncio module from the Python standard library, providing the same event loop.
* Support for long polling and web sockets.

Link: https://www.tornadoweb.org/en/stable/


#library
#python

🆔 @Python4all_pro

Create email and text message SMS alerts with #Python!



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Extract MP3 from MP4 Video with FFmpeg in #Python 🎵

Easily extract audio from a video file using FFmpeg with Python!

First, install the necessary module:

pip install ffmpeg-python

Then, use this script:

import ffmpeg

# https://t.me/LearnPython3

input_file = 'input.mp4'
output_file = 'output.mp3'

# Extract audio from the video
ffmpeg.input(input_file).output(output_file, format='mp3').run()

print('Audio extracted successfully!')

With ffmpeg-python, you can extract high-quality audio from your video files effortlessly.



#code

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Run #Javascript code using #python subprocess #Library

import subprocess
js_code = """
console.log("Hello, World!");
"""

with open("script.js", "w") as file:
    file.write(js_code)

result = subprocess.run(["node", "script.js"], capture_output=True, text=True)

print(result.stdout)

#code

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Find system name , version processor using #python.

import platform

system_name = platform.system()

system_version = platform.version()

architecture = platform.architecture()[0]

processor = platform.processor()

print("OS:", system_name)
print("OS Version:", system_version)
print("32 or 64:", architecture)
print("Processor :", processor)

#code

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Downloading a Audio file from YouTube Video

Free Code: https://www.clcoding.com/2024/06/downloading-audio-file-from-youtube.html




#code

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Convert Image to text

import pytesseract as t
from PIL import Image
img = Image.open("photo.jpg")
text = t.image_to_string(img)
print(text)

#code

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-Location of Mobile Number Code -

import phonenumbers
from phonenumbers import (timezone,geocoder,carrier)
 
number = input("Enter the phone number with country code : ")
 
# Parsing String to the Phone number
phoneNumber = phonenumbers.parse(number)
 
# printing the timezone using the timezone module
timeZone = timezone.time_zones_for_number(phoneNumber)
print(f"timezone : {timeZone}")
 
# printing the geolocation of the given number using the geocoder module
geolocation = geocoder.description_for_number(phoneNumber,"en")
print(f"location : {geolocation}")
 
# printing the service provider name using the carrier module
service = carrier.name_for_number(phoneNumber,"en")
print(f"service provider : {service}")

#code

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Transform your #Python code in an image



#code

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Python Logo Source Code

import turtle

t = turtle.Turtle()
s = turtle.Screen()
s.bgcolor("black")
t.speed(10)
t.pensize(2)
t.pencolor("white")



def s_curve():
    for i in range(90):
        t.left(1)
        t.forward(1)

def r_curve():
    for i in range(90):
        t.right(1)
        t.forward(1)

def l_curve():
    s_curve()
    t.forward(80)
    s_curve()

def l_curve1():
    s_curve()
    t.forward(90)
    s_curve()

def half():
    t.forward(50)
    s_curve()
    t.forward(90)
    l_curve()
    t.forward(40)
    t.left(90)
    t.forward(80)
    t.right(90)
    t.forward(10)
    t.right(90)
    t.forward(120) #on test
    l_curve1()
    t.forward(30)
    t.left(90)
    t.forward(50)
    r_curve()
    t.forward(40)
    t.end_fill()

def get_pos():
    t.penup()
    t.forward(20)
    t.right(90)
    t.forward(10)
    t.right(90)
    t.pendown()

def eye():
    t.penup()
    t.right(90)
    t.forward(160)
    t.left(90)
    t.forward(70)
    t.pencolor("black")
    t.dot(35)

def sec_dot():
    t.left(90)
    t.penup()
    t.forward(310)
    t.left(90)
    t.forward(120)
    t.pendown()

    t.dot(35)




t.fillcolor("#306998")
t.begin_fill()
half()
t.end_fill()
get_pos()
t.fillcolor("#FFD43B")
t.begin_fill()
half()
t.end_fill()

eye()
sec_dot()



def pause():
    t.speed(2)
    for i in range(100):
        t.left(90)
pause()

#code

🆔 @Python4all_pro

🖥 ؛SearXNG — یک موتور فراجستجوی رایگان است که در پایتون پیاده سازی شده است

git clone https://github.com/searxng/searxng.git searxng
cd searxng
sudo -H ./utils/searxng.sh install all

؛SearXNG — نتایج جستجو و پایگاه داده های مختلف را ترکیب می کند و داده های حساس کاربر را جمع آوری یا ردیابی نمی کند

شروع سریع با Docker :

docker run --rm \
           -d -p 8080:8080 \
           -v "${PWD}/searxng:/etc/searxng" \
           -e "BASE_URL=http://localhost:8080/" \
           -e "INSTANCE_NAME=my-instance" \
           searxng/searxng

🖥 GitHub
🟡 Docks



#library
#python

🆔 @Python4all_pro

Python Projects: Create an Interactive Quiz Application


#پروژه
🆔 @Python4all_pro

Convert Animated Gif to video

from os import remove,popen
import subprocess

def sprocess(a, b="utf-8"):
    p = subprocess.Popen(a,shell=True,stdout=subprocess.PIPE, stderr=subprocess.PIPE).communicate()
    return str(p[0].decode(b)+p[1].decode(b))

vid = await message.reply_to_message.download()

print(sprocess("ffmpeg -y -i '" + vid + "' -map_metadata -1 s.mp4"))

durasi = popen("ffprobe -i '" + vid + "' -show_entries format=duration -v quiet -of csv='p=0'").read()

await message.reply_video(video="s.mp4")

remove("s.mp4")
remove(vid)

#code

🆔 @Python4all_pro

حل سوالات استخدامی سایت leetcode.com

Task: No. 16. 3Sum Closest #medium

Condition:
Given an integer array nums of length n and an integer target, find the three integers in nums whose sum is closest to the target. Returns the sum of three integers. You can assume that each input will have exactly one solution.

Solution:

    def threeSumClosest(self, num, target):
        num.sort()
        result = num[0] + num[1] + num[2]
        for i in range(len(num) - 2):
            j, k = i+1, len(num) - 1
            while j < k:
                sum = num[i] + num[j] + num[k]
                if sum == target:
                    return sum
                
                if abs(sum - target) < abs(result - target):
                    result = sum
                
                if sum < target:
                    j += 1
                elif sum > target:
                    k -= 1
                else:
                    return result
            
        return result

Explanation:
Sort an array:

First we sort the num array. This will allow us to use two pointers to find the closest sum.
Initializing the result:

We initialize the result variable with the sum of the first three elements of the sorted array. This will be our starting closest amount.
Traversing the array:

We use a for loop to iterate through the array. For each element we use two pointers j and k:
j starts immediately after the current element i.
k starts from the end of the array.
Two pointers:

Inside the while loop, while j is less than k, we calculate the sum of the elements num[i], num[j] and num[k].
If sum equals target, then we return sum since we found an exact match.
Result update:

If the current sum sum is closer to target than the previous closest sum result, update result.
Pointer shift:

If sum is less than target, move pointer j to the right to increase the sum.
If sum is greater than target, shift pointer k to the left to decrease the sum.
Return result:

After completing all iterations, we return result, which will contain the sum of three numbers closest to target.
Time and space complexity:
Time complexity: O(n^2), where n is the length of the array. Sorting takes O(n log n) and the basic algorithm with two pointers runs in O(n^2).
Space complexity: O(1) since we only use a few additional variables, and do not use additional memory depending on the size of the input data.

#interview #LeetCode

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