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Learn Python Coding

Learn Python Coding

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Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho

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📈 تحلیل کانال تلگرام Learn Python Coding

کانال Learn Python Coding (@pythonre) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 40 900 مشترک است و جایگاه 3 279 را در دسته فناوری و برنامه‌ها و رتبه 9 343 را در منطقه الهند دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 40 900 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 25 اکتبر, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 455 و در ۲۴ ساعت گذشته برابر 3 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 3.41% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.49% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 1 395 بازدید دریافت می‌کند. در اولین روز معمولاً 608 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 2 است.
  • علایق موضوعی: محتوا بر موضوعات کلیدی مانند math, harvard, oxford, supervision, waybienad تمرکز دارد.

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“Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho”

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 26 اکتبر, 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.

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آرشیو پست ها
In Python 3.15, a single asterisk replaces nested loops. 🐍✨ Previously, to flatten a list, you would write:
rows = [[1, 2], [3], [4, 5]]

flat = [x for row in rows for x in row]
Now, you can simply use:
flat = [*row for row in rows]
# [1, 2, 3, 4, 5]
A double asterisk merges dictionaries: 📦
configs = [
    {"debug": False, "timeout": 10},
    {"timeout": 30},
]

config = {**part for part in configs}
# {'debug': False, 'timeout': 30}
When keys overlap, the last value wins – this is convenient for combining settings from multiple sources. ⚙️ Unpacking removes one level of nesting. In Python 3.14, this syntax within comprehensions will raise a SyntaxError. 🚫 https://peps.python.org/pep-0798/ #Python #Python315 #Programming #CodingTips #TechNews #Developer ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

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Python is the #1 language in AI. 🐍 But you don’t need to learn all of it. (save this) 📌 #Python #AI #Programming #DataScience #MachineLearning #Tech ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

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😰 15-Hour "Python for Data Science" Course ⚡️ Learn Python for Data Science
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📚 Download 10 Python books for FREE: 1. Think Python — O’Reilly https://t.co/X7y3pX68IW 2. The Big Book of Small Python Projects https://inventwithpython.com/bigbookpython/ 3. Data Structures https://opendatastructures.org/ods-python.pdf 4. Data Science Handbook https://t.co/9aOLdiAbim 5. Data Analysis https://wesmckinney.com/book/ 6. Data Science https://t.co/TusyBWGfrx 7. Machine Learning https://t.co/7veOwESe8q 8. Statistics https://t.co/waWDQylQpY 9. Think Bayes https://allendowney.github.io/ThinkBayes2/ 10. Clean Code in Python — Packt https://t.co/OHhVgF1L65 #Python #FreeBooks #Programming #DataScience #MachineLearning #Coding ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

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Python Lists: A Quick Reference 🐍 *   Definition: Lists are ordered, mutable collections that can contain various data types and duplicates. *   Creating Lists: Creating empty, numerical, mixed, nested lists, and lists with duplicates. *   Accessing List Elements: Accessing elements using positive and negative indexing, as well as slicing with
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,
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,
extend()
,
remove()
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pop()
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Python For Beginners Course In-Depth Python: A Comprehensive Introduction to Fundamental Python Concepts and the Python Advan
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