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کانال Python4coding (@pythonupdatess) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 24 287 مشترک است و جایگاه 4 200 را در دسته فناوری و برنامه‌ها و رتبه 3 513 را در منطقه ماليزيا دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 24 287 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 31 مه, 2025، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر -233 و در ۲۴ ساعت گذشته برابر 0 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 0% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً N/A% واکنش نسبت به کل مشترکان کسب می‌کند.
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به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 01 ژوئن, 2025)، کانال همواره به‌روز و دارای دسترسی بالاست. تحلیل‌ها نشان می‌دهد مخاطبان به‌طور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامه‌ها تبدیل کرده‌اند.

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Beginners Notes on Git Basics.docx0.21 KB

👆Computer network notes

CN.pdf12.31 MB

Rd Engineering College GZB se koi h kya yha pr?
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java_interview_questions_Top_20_java_interview_programs_and_answers.pdf

Python Interview Questions for Freshers🧠👨‍💻 1. What is Python? Python is a high-level, interpreted, general-purpose programming language. Being a general-purpose language, it can be used to build almost any type of application with the right tools/libraries. Additionally, python supports objects, modules, threads, exception-handling, and automatic memory management which help in modeling real-world problems and building applications to solve these problems. 2. What are the benefits of using Python? Python is a general-purpose programming language that has a simple, easy-to-learn syntax that emphasizes readability and therefore reduces the cost of program maintenance. Moreover, the language is capable of scripting, is completely open-source, and supports third-party packages encouraging modularity and code reuse. Its high-level data structures, combined with dynamic typing and dynamic binding, attract a huge community of developers for Rapid Application Development and deployment. 3. What is a dynamically typed language? Before we understand a dynamically typed language, we should learn about what typing is. Typing refers to type-checking in programming languages. In a strongly-typed language, such as Python, "1" + 2 will result in a type error since these languages don't allow for "type-coercion" (implicit conversion of data types). On the other hand, a weakly-typed language, such as Javascript, will simply output "12" as result. Type-checking can be done at two stages - Static - Data Types are checked before execution. Dynamic - Data Types are checked during execution. Python is an interpreted language, executes each statement line by line and thus type-checking is done on the fly, during execution. Hence, Python is a Dynamically Typed Language. 4. What is an Interpreted language? An Interpreted language executes its statements line by line. Languages such as Python, Javascript, R, PHP, and Ruby are prime examples of Interpreted languages. Programs written in an interpreted language runs directly from the source code, with no intermediary compilation step. 5. What is PEP 8 and why is it important? PEP stands for Python Enhancement Proposal. A PEP is an official design document providing information to the Python community, or describing a new feature for Python or its processes. PEP 8 is especially important since it documents the style guidelines for Python Code. Apparently contributing to the Python open-source community requires you to follow these style guidelines sincerely and strictly. 6. What is Scope in Python? Every object in Python functions within a scope. A scope is a block of code where an object in Python remains relevant. Namespaces uniquely identify all the objects inside a program. However, these namespaces also have a scope defined for them where you could use their objects without any prefix. A few examples of scope created during code execution in Python are as follows: A local scope refers to the local objects available in the current function. A global scope refers to the objects available throughout the code execution since their inception. A module-level scope refers to the global objects of the current module accessible in the program. An outermost scope refers to all the built-in names callable in the program. The objects in this scope are searched last to find the name referenced. Note: Local scope objects can be synced with global scope objects using keywords such as global.

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Happy Ganesh chaturthi to all of you Guys ❤️ source code 👇 from turtle import * import turtle as tur import random import time t=tur.Turtle() tur.title("Pythontpoint") tur.speed(6) tur.bgcolor("black") tur.color("red") tur.pensize(5) tur.left(60) tur.fd(50) tur.left(15) tur.circle(100,90) tur.fd(30) tur .pensize(10) tur.penup() tur.right(90) tur.fd(20) tur.pendown() tur.right(40) tur.circle(-50,90) tur.fd(20) tur.left(150) #seconde head curve tur.color("red") tur.penup() tur.fd(40) tur.left(20) tur.pendown() tur.circle(50,90) #third head curve #goto beginning tur.color("red") tur.penup() goto(0,0) tur.pensize(5) tur.pendown() tur.left(30) tur.fd(120) tur.circle(60,270) #eyes tur.color("silver") tur.penup() tur.forward(30) tur.right(50) tur.forward(135) tur.pendown() tur.pensize(8) tur.circle(50,90) tur.left(95) tur.penup() tur.circle(60,75) #eyebrows tur.penup() tur.forward(15) tur.left(90) tur.pensize(2) tur.pendown() tur.circle(70,90) #ears tur.pensize(5) tur.penup() tur.forward(75) tur.right(90) tur.forward(20) tur.pendown() tur.circle(90,90) tur.forward(20) tur.circle(30,170) tur.right(180) tur.circle(28,180) tur.right(160) tur.circle(25,180) tur.right(160) tur.circle(22,160) tur.forward(20) tur.circle(60,45) #trunk tur.penup() goto(0,0) tur.left(130) tur.fd(140) tur.right(250) tur.backward(20) tur.circle(80,20) tur.circle(20,40) tur.right(110) tur.penup() tur.fd(20) tur.pendown() tur.pensize(10) tur.forward(50) tur.circle(100,80) tur.pensize(9) tur.circle(150,50) tur.pensize(7) tur.circle(100,60) tur.pensize(5) tur.circle(90,60) tur.pensize(4) tur.circle(40,60) tur.circle(10,90) #head tur.color("red") tur.penup() goto(0,0) goto(-90,290) tur.right(230) tur.pendown() tur.circle(-100,50) tur.circle(200,20) tur.circle(50,30) tur.right(180) tur.circle(50,30) tur.circle(200,20) tur.circle(-100,40) tur.right(95) tur.penup() tur.fd(40) tur.right(90) tur.pendown() tur.circle(100,40) tur.penup() tur.circle(35,120) tur.right(30) tur.pendown() tur.pensize(1) tur.circle(60,50) #done tur.penup() goto(-70,90) tur.fillcolor("red") tur.begin_fill() tur.circle(20,180) tur.end_fill() tur.penup() tur.left(75) tur.fillcolor("red") tur.begin_fill() tur.circle(70,35) tur.end_fill() tur.left(180) tur.backward(10) tur.pendown() tur.left(6) tur.pensize(5) tur.color("red") tur.circle(-80,40) tur.penup() goto(0,0) #borderrrr tur.write(" Happy Ganesh Chaturthi",font=("arial",20,"normal"),align="left") tur.color("orange") goto(-240,420) tur.right(90) tur.pendown() tur.fillcolor("orange") tur.begin_fill() tur.forward(275) tur.right(130) tur.forward(100) tur.end_fill() tur.penup() goto(0,420) tur.right(90) tur.color("orange") tur.fillcolor("orange") tur.begin_fill() tur.fd(100) tur.right(50) tur.pendown() tur.fd(510) tur.left(90) tur.right(165) tur.end_fill() tur.color("orange") tur.fillcolor("orange") tur.begin_fill() tur.fd(540) tur.right(70) tur.fd(20) tur.end_fill() tur.color("orange") tur.fillcolor("orange") tur.begin_fill() tur.fd(540) tur.right(90) tur.fd(20) tur.end_fill() tur.left(30) tur.color("orange") tur.fillcolor("") tur.begin_fill() tur.fd(205) tur.right(90) tur.fd(20) tur.end_fill() tur.color("red") tur.penup() goto(0,0) tur.left(118) tur.fd(240) tur.right(30) tur.pendown() tur.circle(90,65) tur.penup() done()

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data_structures_algorithms_and_applications_in_c_by_sartraj_sahani.pdf28.06 MB

Machine Learning Project 5 - Income Classification using ML.zip6.21 KB

Machine_Learning_Project_84_Sentiment_Analysis_Dow_Jones_DJIA_Stock.zip3.53 MB

Machine_Learning_Project_4_Indian_classical_dance_problem_using.zip1.75 MB

Machine Learning Project 3 - Boston Housing Analysis.zip0.27 KB

Machine Learning Project 2 - Bitcoin Price Prediction.zip0.18 KB

In case you're looking for some Machine Learning projects to work on in your spare time, here you go.

Python Programming Course in Hindi (Advanced) 🔥 Download notes here :- https://drive.google.com/file/d/1dghcM0yMkwpAHsdTBbc9gluyXAyFTQw3/view

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python crash course .pdf5.38 MB

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indian_flag.py0.01 KB