# pip install google-genai

from google import genai

client = genai.Client(api_key="")

javob = client.models.generate_content(
    model="gemini-2.5-flash",
    contents="Salom sen kimsan"
)

print(javob.text)

Pythonda Gemini Suniy intelektiga APIga so'rov yuborish

O'RNATISH

pip install google-genai

Gemini API Keyni olish uchun https://aistudio.google.com/api-keys saytiga kiring.
Tepada o'n tarafdagi "Create API Key" tugmasiga bosing
API Keyingizka nom bering
Select a cloud projectni bosib Projectingizni tanlang.
Agar hali project yaratmagan bo’lsangiz.
Create Projecni bosing va project yarating
Keyin o’sha projectingizni tanlab API Key yarating

Video: https://www.instagram.com/p/DQ7H3n8iMJD/

Uzbek Gemini Bot

Gemini 2.5 flash modeli asosida yasalgan sodda Telegram Bot

Bot manzili: @uzbekgeminibot

Source Code: https://github.com/sinofarmonov323/gemini-telegram-bot

Uzbek Academy

Shunchaki o'zingizni kursingizni joylaydigan platforma

Manzili: https://server-admin323.alwaysdata.net/ (test qilib ko'rilar)
Hali responsive qilinmagan shinga kompyuterdan kirilar

Assalomu alaykum
Man biror bir foydali telegram bot yoki website qilmoqchiman lekin g'oya yo'q. Mening taklifim sizlar shu postni izohiga o'z g'oyangizni yozib keting va man uni qilib kerak bo'lsa kodlarini ham tashlayman

OsonBot

pytelegrambotapi va aiogram kutubxonasiga o'xshash telegram bot yasash uchun kutuxona

pip install osonbot

FARQI:
aiogram kutubxonasida

from aiogram import Bot, Dispatcher, types
from aiogram.filters import CommandStart
import asyncio

dp = Dispatcher()

@dp.message(CommandStart())
async def start(message: types.Message):
     await message.answer(f"Salom {message.from_user.first_name}")

@dp.message()
async def echo(message: types.Message):
     await message.answer(message.text)

async def main():
     bot = Bot("token")
     await dp.start_polling(bot)

asyncio.run(main())

Pytelegrambotapi kutubxonasida

from telebot import Bot

bot = Bot("token")

@bot.message_handler(commands=['start'])
def start(message):
     bot.send_message(message.chat.id, f"Salom {message.from_user.first_name}")

@bot.message_handler()
def echoo(message):
     bot.send_message(message.chat.id, message.text)

bot.infinity_polling()

osonbot kutubxonasida

from osonbot import Bot

bot = Bot("token")

bot.when("/start", "Salom {first_name}")
bot.when("*", "{message_text}")

bot.run()

Bundan maqsan menki zo'r meikini ishlatilar demoqchi emasman. Shunchaki shunaqa kutubxona yaasadim bir ko'rilar yoqsa ishlatilar demoqchiman. Lekin bot APIdagi ko'p funksiyalar yo'q

kerak bo'lsa mana source code va docs: https://github.com/sinofarmonov323/osonbot

aiogram va pytelegrambotapidan farqi bunda avtomatik databaza bor va databaza bilal ishlash osonroq

Shunchaki JsonBot

Telegram Bot yasash uchun OsonBot kutubxonasida yasalgan JsonBot kutubxonasi

O'RNATISH

pip install jsonbot

Ishlatish

JsonBot("token", {
    "/start", {"response": "Salom *{first_name}*", "parse_mode": "MarkdownV2"},
    "/help": {"response": "Sizga qanday yordam beraolaman"},
    "*": {"{message_text}"}
}).run()

Source Code: https://github.com/sinofarmonov323/jsonbot

Python Dasturlash tilida mobile qurilmalar uchun ilova yasa bo'lishini bilarmidingiz. Keyingi Post shu haqida bo'ladi

Flet - bu mobil qurilmalarga ilova yasash uchun python daturlash tilidagi cross-platform framework. Flet dart daturlash tilidagi Flutter frameworkini python uchun nusxasi

O'RNATISH

pip install flet

LOYIHA YARATISH

flet create

DASTURNI ISHGA TUSHIRISH

flet run

Qo'llanma: https://flet.dev/docs/

Beeware - bu python dasturlash tilida mobil ilovalar yasash uchun chiqarilgan framework

O'RNATISH

pip install briefcase

LOYIHA YARATISH

briefcase new

LOYIHANI ISHGA TUSHIRISH

briefcase dev

Beeware fletga qaraganda ko'proq ishl qilaoladi

Qo'llanma: https://tutorial.beeware.org/

import pdfkit

path_wkhtmltopdf = r"C:\Program Files\wkhtmltopdf\bin\wkhtmltopdf.exe"
config = pdfkit.configuration(wkhtmltopdf=path_wkhtmltopdf)

pdfkit.from_file('index.html', "pdf.pdf", configuration=config)

HTML fayldan PDF fayl yasash

O'RNATISH:

pip install pdfkit

VA shu dasturni o'rnating
https://wkhtmltopdf.org/downloads.html

2025 yilda python uchun Top 4 tekin Hostlar
https://telegra.ph/2025-yilda-Top-4-tekin-Hostlar-07-16

feedback kutaman

2025 yilda Top 5 tekin Hostlar
https://telegra.ph/2025-yilda-Top-5-tekin-Hostlar-07-27

baho bering

Aiogram - bu python dasturlash mukammal bo'lgan telegram botlarni yasash imkonini beruvchi asynxron kutubxona. Telegram Bot APIning to'liq qo'llab quvvatlaydi.

O'RNATISH:

pip install aiogram

Kutubxona qo'llanmasi:
https://docs.aiogram.dev

Video Darsliklar:
O'zbekcha: https://www.youtube.com/playlist?list=PLyABYrL3eBgWnQ_qUylmhChB1J6t4B38R
Ruscha va ingilizcha: https://youtube.com/playlist?list=PLV0FNhq3XMOJ31X9eBWLIZJ4OVjBwb-KM&si=0P9NrvgIkCGNrJS2

Python Dasturlash tilida requests kutubxonasi orqali websayt parsing

Websaytni parse qilish - bu websaytning HTML malumotlarini olib ularni tahlil qilish

requests kutubxonasini o'rnatish:

pip install requests

Kodi:

import requests

html_content = requests.get("https://obhavo.uz/") # yoki boshqa bir mavjud websayt manzili

with open("index.html", "w", encoding="utf-8") as fayl:
    fayl.write(html_content.text)

buning videosi instagramda


#requests #webparsing #parsing #websiteparsing #scraping

Python dasturlash tilida ob havo malumotlarini topuvchi dastur

buning uchun, requests, beautifulsoup4 kutubxonalari, va obhavo.uz websaytidan foydalanamiz

Kerakli kutubxonani o'rnatish:

pip install requests beautifulsoup4

Kodi:

import requests
from bs4 import BeautifulSoup

def ObHavoAniqlovchi(shahar: str):
    html = requests.get(f"https://obhavo.uz/{shahar}")
    soup = BeautifulSoup(html.text, 'html.parser')
    haroratlar = soup.find('div', class_='current-forecast')
    min_harorat = haroratlar.select('span')[-1].text
    max_harorat = haroratlar.select_one('strong').text
    return {'minimum harorat': min_harorat, "maximum harorat": max_harorat}

print(ObHavoAniqlovchi('tashkent'))

Video qo'llanma buyerda


Telegram | Instagram

#requests #webparsing #parsing #scraping #beautifulsoup4

Yaqin oralarda YouTubeda ham chiqadi

Assemblyda AI model yasayolmadigan dasturchi haqiqiy dasturchi emas 🗿😁

FastAPI - API yaratish uchun mo'ljallangan yuqori tezlikdagi web freymvorki 🚀

Asosiy xususiyatlari:
- Yuqori tezlik: Pythondagi eng tez freymvorklardan biri. Django va Flaskdan ham tez. ⚡️
- Avtomatik dokumentatsiya: FastAPI 2 xil avtomatik dokumentatsiyani yaratib beradi. Bu sahifalar APIngizda /docs va /redoc manzillarida mavjud (hatto siz /docs uchun kod yozmagan bo'lsangiz ham) 📄

O'RNATISH

pip install fastapi

MISOL

from fastapi import FastAPI

app = FastAPI()

@app.get("/")
async def boshsahifa():
    return {"xabar": "bu bosh sahifa"}

ISHGA TUSHIRISH

uvicorn runner:app --reload

Buyruqda runner o'rniga Python faylingiz nomini yozing. Agar Python faylingiz nomi main bo'lsa, quyidagi buyruqni yozishingiz kerak: uvicorn main:app --reload 🛠

FastAPI API yaratishga mo'ljallangan, lekin FastAPI yordamida veb-saytlar ham yaratish mumkin 🌐

from fastapi import FastAPI
from fastapi.responses import HTMLResponse

app = FastAPI()

@app.get("/", response_class=HTMLResponse)
def read_root():
    return "<h1>Hello World</h1>"

Buni ishga tushirish usuli yuqorida ko'rib o'tilgan.

FastAPI To'liq Qo'llanma: https://fastapi.tiangolo.com/ 🔗
O'zbek tilida FastAPI kursi: https://youtube.com/playlist?list=PLerUjc0ALRXzH0N88lnXE2d5R-7irWOiV&si=m2Jy7fuBLc5auHVl
Ingilizcha tilidagi FastAPI Kursi: https://www.youtube.com/@codingwithroby