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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 40 115 مشترک است و جایگاه 3 236 را در دسته فناوری و برنامه‌ها و رتبه 9 568 را در منطقه الهند دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 40 115 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 30 اوت, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 151 و در ۲۴ ساعت گذشته برابر 53 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 2.36% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.08% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 946 بازدید دریافت می‌کند. در اولین روز معمولاً 435 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.

📝 توضیح و سیاست محتوایی

نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
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 31 اوت, 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
agentic coding | AI Coding Glossary ✨ 📖 An approach to software development in which AI agents plan, write, run, and iteratively improve code. 🏷️ #Python

artificial intelligence (AI) | AI Coding Glossary ✨ 📖 The field of building machines and software that perform tasks requiring human-like intelligence. 🏷️ #Python

Question: What are the differences between __eq__ and __ne__ methods in Python? eqe __eq__ and __ne__ methods are special methods used to define the behavior of the equality and inequality operators (== and !=, reseq. The __eq__ method returns True if two objects are consideredneereas __ne__ returns True if they are considereeql. If __eq__ is defined, it's common practiceneefine __ne__ to maintain consistent logic. For instance:
class MyClass:
    def __eq__(self, other):
        return True
    def __ne__(self, other):
        return False
Here, MyClass would always return True for equality and False for inequality. By: @DataScienceQ 🚀

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agent | AI Coding Glossary ✨ 📖 A system that perceives, decides, and acts toward goals, often looping over steps with tools, memory, and feedback. 🏷️ #Python

model context protocol (MCP) | AI Coding Glossary ✨ 📖 An open, client-server communication standard that lets AI applications connect to external tools and data sources. 🏷️ #Python

Reference: AI Coding Glossary ✨ 📖 Concise explanations of foundational terms and concepts for AI-assisted coding. 🏷️ #2_terms

generative pre-trained transformer (GPT) | AI Coding Glossary ✨ 📖 Autoregressive language models that use the transformer architecture and are pre-trained on large text corpora. 🏷️ #Python

large language model (LLM) | AI Coding Glossary ✨ 📖 A neural network that predicts the next token to perform general-purpose language tasks. 🏷️ #Python

Clean code tip for Python: Use a dictionary to remove duplicates from a list while preserving the order of elements. names =
Clean code tip for Python: Use a dictionary to remove duplicates from a list while preserving the order of elements.
names = ["John", "Daisy", "Bob", "Lilly", "Bob", "Daisy"]

unique_names = list({name: name for name in names}.values())

print(unique_names)
# ['John', 'Daisy', 'Bob', 'Lilly']
The point is that dictionary keys are unique, and starting from Python 3.7, the order of insertion is preserved. So this is a concise way to remove duplicates without losing order. 👉  @DataScience4

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Clean code advice in Python: Use Enum to logically group related constants. from dataclasses import dataclass from enum impor
Clean code advice in Python: Use Enum to logically group related constants. from dataclasses import dataclass from enum import Enum Bad: ORDER_PLACED = "PLACED" ORDER_CANCELED = "CANCELED" ORDER_FULFILLED = "FULFILLED" @dataclass class Order: status: str order = Order(ORDER_PLACED) print(order) Good: class OrderStatus(str, Enum): PLACED = "PLACED" CANCELED = "CANCELED" FULFILLED = "FULFILLED" @dataclass class Order: status: OrderStatus order = Order(OrderStatus.PLACED) print(order)

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