Python Programming & AI Resources
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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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Tarmoq:📈 Telegram kanali Python Programming & AI Resources analitikasi
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.
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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.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“✅ 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.
13 505
Obunachilar
+224 soatlar
-57 kunlar
+12430 kunlar
Postlar arxiv
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1️⃣ Beginner Python Projects 🌱
• Number Guessing Game
• Password Generator
• To-Do List (CLI Based)
• Random Quote Generator
• Contact Book (File Storage)
2️⃣ Automation Projects ⚙️
• File Organizer Script
• Email Sender using SMTP
• WhatsApp Message Automation
• Bulk File Renamer
• Data Entry Automation
3️⃣ Data Analysis Projects 📊
• Sales Data Analysis using Pandas
• IPL / Sports Data Analysis
• Stock Market Data Visualization
• Customer Segmentation Analysis
• Survey Data Dashboard
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• Blog Website using Flask/Django
• URL Shortener
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• House Price Prediction
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• Sentiment Analysis Tool
• Resume Screening AI
• Text Summarizer
• Voice Assistant
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• Snake Game using Pygame
• Tic Tac Toe with AI
• Quiz Game with GUI
• Sudoku Solver
• Memory Puzzle Game
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🔰 Python Roadmap 🐍
📂 Syntax Basics
∟📂 Data Structures
∟📂 Algorithms
∟📂 OOP Concepts
∟📂 Module & Packages
∟📂 Error Handling
∟📂 File Handling
∟📂 Networking
∟📂 Security
∟📂 Do Lab
∟✅ Job
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✅ How to Build FREE AI Apps with Python using Oxlo.ai
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• Create a simple Python project
• Use common libraries like requests or httpx
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• Generate your API key from the dashboard
• Use the key to test your apps for free
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• Text summarizer
• Code explainer
• Email generator
• FAQ chatbot
📍Step 4: Call the LLM API from Python
• Send your prompt as a request
• Select an open-source model (Llama / Mistral / Qwen)
• Receive the AI response
📍Step 5: Test & iterate
• Adjust prompts for better output
• Try different models
• Validate responses
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• Wrap logic in FastAPI or Flask
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✅ How to Learn Python in 2026 🐍📚
✅ Step 1: Learn Syntax by Doing
• Write code from Day 1
• Use
print(), variables, and basic math
• Practice with online REPLs or Jupyter Notebooks
✅ Step 2: Understand Core Concepts
• Data types: int, str, list, dict, bool
• Control flow: if, elif, else, for, while
• Functions & return values
✅ Step 3: Apply Logic with Mini-Tasks
• Reverse a string
• Count vowels
• Find max of three numbers
• FizzBuzz
✅ Step 4: Learn by Projects, Not Just Theory
• Weather App (API + CLI)
• BMI Calculator
• File Renamer
• Basic Password Generator
✅ Step 5: Learn Libraries When Needed
• pandas for data
• requests for APIs
• matplotlib for plots
• re for regex
✅ Step 6: Build a Strong Habit
• Code 30 mins daily
• Track progress in a doc
• Focus on learning, not perfection
✅ Step 7: Explore Career Paths with Python
• Data Science → NumPy, pandas
• Web Dev → Flask, Django
• Automation → Selenium, os, shutil
• AI/ML → scikit-learn, TensorFlow
Don’t rush. Write. Debug. Learn. Repeat.
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Real Python - Pocket Reference (Important)
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