Python Interviews

رفتن به کانال در Telegram

Join this channel to learn python for web development, data science, artificial intelligence and machine learning with quizzes, projects and amazing resources for free For collaborations: @coderfun

نمایش بیشتر

شبکه:Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert الهند15 187 فناوری و برنامه‌ها4 787...

📈 تحلیل کانال تلگرام Python Interviews

کانال Python Interviews (@pythoninterviews) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 28 765 مشترک است و جایگاه 4 787 را در دسته فناوری و برنامه‌ها و رتبه 15 187 را در منطقه الهند دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 28 765 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 05 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 88 و در ۲۴ ساعت گذشته برابر 6 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

وضعیت تأیید: تأیید نشده
نرخ تعامل (ER): میانگین تعامل مخاطب 0.63% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 0.81% واکنش نسبت به کل مشترکان کسب می‌کند.
دسترسی پست‌ها: هر پست به طور میانگین 181 بازدید دریافت می‌کند. در اولین روز معمولاً 234 بازدید جمع‌آوری می‌شود.
واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 1 است.
علایق موضوعی: محتوا بر موضوعات کلیدی مانند |--, link:-, learning, sql, analytic تمرکز دارد.

📝 توضیح و سیاست محتوایی

نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
“Join this channel to learn python for web development, data science, artificial intelligence and machine learning with quizzes, projects and amazing resources for free For collaborations: @coderfun”

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 07 ژوئن, 2026)، 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.

28 765

مشترکین

+624 ساعت

+147 روز

+8830 روز

181

نمایش های پست

~ 23424 ساعت

~ 30148 ساعت

0.63%

نرخ مشارکت

اطلاعاتی وجود ندارد

پست های در روز

Ads index

beta

آرشیو پست ها

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Scrap Image from google using BeautifulSoup

import requests
from bs4 import BeautifulSoup as BSP

def get_image_urls(search_query):
    url = f"https://www.google.com/search?q={search_query}&tbm=isch"
    headers = {
        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3"
    }
    rss = requests.get(url, headers=headers)
    soup = BSP(rss.content, "html.parser")

    all_img = []
    for img in soup.find_all('img'):
        src = img['src']
        if not src.endswith("gif"):
            all_img.append(src)

    return all_img

print(get_image_urls("boy"))

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⌨️ Python Tips & Tricks

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Repost from Python for Data Analysts

𝗚𝗼𝗼𝗴𝗹𝗲 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍 Learn AI for FREE with these incredible courses by Google! Whether you’re a beginner or looking to sharpen your skills, these resources will help you stay ahead in the tech game. 𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/3FYbfGR Enroll For FREE & Get Certified🎓

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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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AI Tools

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Repost from AI Prompts | ChatGPT | Google Gemini | Claude

𝟱 𝗙𝗥𝗘𝗘 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽𝘀 𝘁𝗼 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗥𝗲𝘀𝘂𝗺𝗲😍 These 100% free & remote virtual internships will help you develop in-demand skills from top global companies! No prior experience needed—just sign up & start learning! 𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/4bajU4J Enroll For FREE & Get Certified 🎓

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✅ 5 Main Tips on How to set goals 1. Make your goal as clear and detailed as possible 2. Define how you will measure success 3. Check whether your goals are achievable 4. Make sure your goal is relevant 5. Set a beginning and end date

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Repost from Python for Data Analysts

𝗖𝗶𝘀𝗰𝗼 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 Upgrade Your Tech Skills in 2025—For FREE! 🔹 Introduction to Cybersecurity 🔹 Networking Essentials 🔹 Introduction to Modern AI 🔹 Discovering Entrepreneurship 🔹 Python for Beginners 𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/4chn8Us Enroll For FREE & Get Certified 🎓

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👉 What is Python Data Structures? You can think of a data structure as a way of organizing and storing data such that we can access and modify it efficiently. We have primitive data types like integers, floats, Booleans, and strings. 👉 What is Python List? A list in Python is a heterogeneous container for items. This would remind you of an array in C++, but since Python does not support arrays, we have Python Lists. 👉 Python Tuple This Python Data Structure is like a, like a list in Python, is a heterogeneous container for items. But the major difference between the two (tuple and list) is that a list is mutable, but a tuple is immutable. This means that while you can reassign or delete an entire tuple, you cannot do the same to a single item or a slice. 👉 Python Dictionaries Finally, we will take a look at Python dictionaries. Think of a real-life dictionary. What is it used for? It holds word-meaning pairs. Likewise, a Python dictionary holds key-value pairs. However, you may not use an unhashable item as a key. To declare a Python dictionary, we use curly braces. But since it has key-value pairs instead of single values, this differentiates a dictionary from a set.

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𝟰 𝗙𝗥𝗘𝗘 𝗦𝗤𝗟 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 - Introduction to SQL (Simplilearn) - Intro to SQL (Kaggle) - Introduction to Database & SQL Querying - SQL for Beginners – Microsoft SQL Server Start Learning Today – 4 Free SQL Courses 𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/42nUsWr Enroll For FREE & Get Certified 🎓

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ChatGPT can write code faster and seemingly better than many programmers. So will it replace software engineers anytime soon? The answer is No. Here are 4 reasons why: 👇 1) Currently, when doing programming tasks, ChatGPT outputs code. And is everybody able to grok, manipulate, and use code? No—only software engineers are. ChatGPT's current coding-related outputs are useless to the general population and need to be handled by SWEs. 2) ChatGPT has been proven to sometimes give incorrect answers, including buggy code. No sound business will risk getting rid of their SWEs in favor of an AI that can provably write buggy software. 3) ChatGPT currently struggles to successfully debug buggy code, even in simple, self-contained code blocks. We can imagine that this will remain especially true in large, complex codebases. You can't get rid of SWEs if you need them to debug your AI's code. 4) To build complex applications with ChatGPT, you need to give it complex prompts that inherently require some technical knowledge as well as "prompt engineering" prowess. Right now, SWEs are the best-equipped people to write these prompts. Instead of replacing software engineers, ChatGPT will serve as an amazing quality-of-life-improvement tool for them, helping them perform certain programming tasks much faster. If you're a SWE, you don't need to worry about ChatGPT—for now. (Credits: Unknown)

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regarding the form survey on Google maps, there is a reward of 120 INR rich spend 2 minutes filling out the complete form. https://gleam.io/vZqfA/0328ptj

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Python from scratch by University of Waterloo 0. Introduction 1. First steps 2. Built-in functions 3. Storing and using information 4. Creating functions 5. Booleans 6. Branching 7. Building better programs 8. Iteration using while 9. Storing elements in a sequence 10. Iteration using for 11. Bundling information into objects 12. Structuring data 13. Recursion https://open.cs.uwaterloo.ca/python-from-scratch/ #python

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Repost from Python for Data Analysts

𝗕𝗿𝗲𝗮𝗸 𝗜𝗻𝘁𝗼 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 – 𝗡𝗼 𝗘𝘅𝗰𝘂𝘀𝗲𝘀!😍 Want to learn Data Analytics, Python, Power BI, and Machine Learning without spending a single rupee? Here’s your golden ticket! 🎟️ 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3DMG9S5 🔗 Bookmark & Share This With Someone Who Needs It!

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Python PDF.pdf6.33 KB

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500+ Python Questions 👇👇 Try and Solve these Python Problems and improve your practical knowledge 💥💯 Checkout and Share 👇❤

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Repost from Python for Data Analysts

🎓 𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗳𝗿𝗼𝗺 𝗢𝗽𝗲𝗻 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 – 𝗟𝗲𝗮𝗿𝗻, 𝗚𝗿𝗼𝘄 & 𝗨𝗽𝘀𝗸𝗶𝗹𝗹!😍 If you’re just starting your learning journey or looking to level up your skills—this is your golden opportunity! 🌟 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4cuo73X ⏳ Don’t miss out—bookmark this for later!

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import_data.pdf1.35 KB