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Python Projects & Free Books

Python Projects & Free Books

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Python Interview Projects & Free Courses Admin: @Coderfun

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Python Projects & Free Books (@pythonfreebootcamp) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 915 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 337-o'rinni va Hindiston mintaqasida 10 047-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 40 915 obunachiga ega bo‘ldi.

05 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 175 ga, so‘nggi 24 soatda esa 29 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 4.03% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.77% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 1 649 marta ko‘riladi; birinchi sutkada odatda 314 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 5 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent learning, analyst, framework, link:-, structure kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
Python Interview Projects & Free Courses Admin: @Coderfun

Yuqori yangilanish chastotasi (oxirgi ma’lumot 07 Iyun, 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.

40 915
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Postlar arxiv
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from turtle import * import turtle as t def my_turtle(): # Choices sides = str(3) loops = str(450) pen = 1 for i in range(int(loops)): forward(i * 2/int(sides) + i) left(360/int(sides) + .350) hideturtle() pensize(pen) speed(30) my_turtle() t.done()

Drawing Beautiful Design Using Python 👇👇

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⌨️ Piechart using matplotlib in Python
⌨️ Piechart using matplotlib in Python

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Python Basic Cheat Sheet Update 🚀
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Creating Virtual Environment for Python » Download Python
First you need python installed in your local machine to create virtual environment. Download Python from Here
» Steps to create '.env' folder (virtual environment for python) 1. Navigate to the folder where you want to make your project Example:

cd D:/code/
2. Open terminal (local terminal, command prompt, or vs code terminal) in that folder 3. Now, use these commands
python --version # Type this and hit enter to verify the python version


# Now use these commands
python -m venv .env
4. Your virtual environment is created in that folder, now activate this virtual environment using this command. Command for 'Command Prompt':
.\env\Scripts\activate
Command for 'Powershell':
.\env\Scripts\Activate.ps1
Command for Git Bash or WSL:
source \.env\bin\activate
If Powershell gives you error like File cannot be loaded because running scripts is disabled then use this command!
Set-ExecutionPolicy -Scope Process -ExecutionPolicy Bypass
5. Congratulations🎊 Your virtual environment activated now make your project Happy Coding 👨‍💻

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GUI Calender in Python 📅
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Exclusion from the queue The collections.deque() class is a generalization of stacks and queues, and represents a deque. A de
Exclusion from the queue The collections.deque() class is a generalization of stacks and queues, and represents a deque. A deque() supports thread-safe, memory-efficient operations for inserting and removing elements of a sequence from either side, with roughly the same O(1) performance in either direction.

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Top 10 Python Project Ideas 💡
Top 10 Python Project Ideas 💡

Print 2025 Calendar using Python
Print 2025 Calendar using Python

⌨️ Learn About Python List Methods
⌨️ Learn About Python List Methods

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Python + AI Entrepreneurship Roadmap Stage 1 – Identify AI Opportunity (Solve Real-World Problems) Stage 2 – Build Python/AI Skills (ML, Deep Learning) Stage 3 – Design AI Product (Prototyping with Flask/TensorFlow) Stage 4 – Validate AI Model (Data Collection & Training) Stage 5 – Build MVP (Deploy AI App) Stage 6 – Secure Funding (Pitch to Investors) Stage 7 – Marketing & Growth (AI-Driven Campaigns) Stage 8 – Scale Product (Optimize & Automate) 🏆 – Python AI Entrepreneur