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✅ Python Programming Books ✅ Coding Projects ✅ Important Pdfs ✅ Artificial Intelligence Courses ✅ Data Science Notes For promotions: @love_data Buy ads: https://telega.io/c/pythonproz

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Python Programming & AI Resources (@pythonproz) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 13 505 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 9 140-o'rinni va Hindiston mintaqasida 29 822-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 13 505 obunachiga ega bo‘ldi.

26 Avgust, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 124 ga, so‘nggi 24 soatda esa 2 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 16.67% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining N/A% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 2 251 marta ko‘riladi; birinchi sutkada odatda 0 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 46 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent tuple, comprehension, learning, programming, loop kabi asosiy mavzularga jamlangan.

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✅ Python Programming Books ✅ Coding Projects ✅ Important Pdfs ✅ Artificial Intelligence Courses ✅ Data Science Notes For promotions: @love_data Buy ads: https://telega.io/c/pythonproz

Yuqori yangilanish chastotasi (oxirgi ma’lumot 27 Avgust, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

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Postlar arxiv
Python for beginners Notes 🔥 React ❤️ for More

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140+ Basic to Advance Python Programs 🧠 React ❤️ For More

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Here are some of the amazing Websites to Learn Python from Beginning to Advanced. 👇👇 1. LearnPython 🔗 Playlist Link 2. W3Schools 🔗 Playlist Link 3. Khan Academy 🔗 Playlist Link 4. FreeCodeCamp 🔗 Playlist Link 5. Sololearn 🔗 Playlist Link React ❤️ for more

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Python CheatSheet 📚 ✅ 1. Basic Syntax - Print Statement: print("Hello, World!") - Comments: # This is a comment 2. Data Types - Integer: x = 10 - Float: y = 10.5 - String: name = "Alice" - List: fruits = ["apple", "banana", "cherry"] - Tuple: coordinates = (10, 20) - Dictionary: person = {"name": "Alice", "age": 25} 3. Control Structures - If Statement:
     if x > 10:
         print("x is greater than 10")
     
- For Loop:
     for fruit in fruits:
         print(fruit)
     
- While Loop:
     while x < 5:
         x += 1
     
4. Functions - Define Function:
     def greet(name):
         return f"Hello, {name}!"
     
- Lambda Function: add = lambda a, b: a + b 5. Exception Handling - Try-Except Block:
     try:
         result = 10 / 0
     except ZeroDivisionError:
         print("Cannot divide by zero.")
     
6. File I/O - Read File:
     with open('file.txt', 'r') as file:
         content = file.read()
     
- Write File:
     with open('file.txt', 'w') as file:
         file.write("Hello, World!")
     
7. List Comprehensions - Basic Example: squared = [x**2 for x in range(10)] - Conditional Comprehension: even_squares = [x**2 for x in range(10) if x % 2 == 0] 8. Modules and Packages - Import Module: import math - Import Specific Function: from math import sqrt 9. Common Libraries - NumPy: import numpy as np - Pandas: import pandas as pd - Matplotlib: import matplotlib.pyplot as plt 10. Object-Oriented Programming - Define Class:
      class Dog:
          def __init__(self, name):
              self.name = name
          def bark(self):
              return "Woof!"
      
11. Virtual Environments - Create Environment: python -m venv myenv - Activate Environment: - Windows: myenv\Scripts\activate - macOS/Linux: source myenv/bin/activate 12. Common Commands - Run Script: python script.py - Install Package: pip install package_name - List Installed Packages: pip list This Python checklist serves as a quick reference for essential syntax, functions, and best practices to enhance your coding efficiency! Checklist for Data Analyst: https://dataanalytics.beehiiv.com/p/data Here you can find essential Python Interview Resources👇 https://t.me/DataSimplifier Like for more resources like this 👍 ♥️ Share with credits: https://t.me/sqlspecialist Hope it helps :)

140+ Basic to Advanced Python Tutorial Full pdf 📝

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🔰 The Best Python Cheat Sheet 🔰 Unlock Python mastery with The Best Python Cheat Sheet Perfect for coders and data scientists, this comprehensive guide covers Python 3.8+ syntax, built-in functions, flow control, lists, dictionaries, generators, decorators, regex, OOP, error handling, and more. Includes ready-to-use code snippets, operator precedence rules, context managers, match-case patterns, and advanced topics like scope management and execution environments. Ideal for quick reference, interviews, or daily coding tasks. React ❤️ for more

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