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
إظهار المزيد
الشبكة:📈 نظرة تحليلية على قناة تيليجرام Learn Python Coding
تُعد قناة Learn Python Coding (@pythonre) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 40 657 مشتركاً، محتلاً المرتبة 3 225 في فئة التكنولوجيات والتطبيقات والمرتبة 9 421 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 40 657 مشتركاً.
بحسب آخر البيانات بتاريخ 05 أكتوبر, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 458، وفي آخر 24 ساعة بمقدار 8، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 5.17%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 0.92% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 2 100 مشاهدة. وخلال اليوم الأول يجمع عادةً 375 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 5.
- الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل math, harvard, oxford, supervision, waybienad.
📝 الوصف وسياسة المحتوى
يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“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”
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 06 أكتوبر, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.
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| التاريخ | نمو المشتركين | الإشارات | القنوات | |
| 06 أكتوبر | +7 | |||
| 05 أكتوبر | +10 | |||
| 04 أكتوبر | +51 | |||
| 03 أكتوبر | +19 | |||
| 02 أكتوبر | +16 | |||
| 01 أكتوبر | +18 |
منشورات القناة
Repost from Machine Learning with Python
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| 9 | 👩💻 heapq.merge(): Combining sorted data!
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| 11 | 📌 Marking Deprecated Code in Python: deprecated()
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Previously, warnings.warn() was often used for this purpose:
import warnings
def old_api():
warnings.warn(
"Use new_api()",
DeprecationWarning
)
In Python 3.13, a deprecated() decorator has been introduced:
from warnings import deprecated
@deprecated("Use new_api()")
def old_api():
return "old"
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This is convenient for libraries, SDKs, and large projects where the API is gradually changing.
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| 14 | Do not violate the Single Responsibility Principle 🎯
A function should do one thing, and do it well.
This function does too much:
def calculate_final_total(
price: float,
quantity: int,
discount_rate: float,
tax_rate: float
) -> float:
# Calculate the subtotal
subtotal = price * quantity
# Apply the discount
discounted_amount = subtotal * (1 - discount_rate)
# Calculate the tax
final_total = discounted_amount * (1 + tax_rate)
return final_total
The problem here is that the calculation of the subtotal, discount, and tax are all combined into one function. Any change to one of these steps can affect the entire calculation.
It's better to break down the logic into smaller, more specialized functions:
def calculate_subtotal(price: float, quantity: int) -> float:
return price * quantity
def apply_discount(subtotal: float, discount: float) -> float:
return subtotal * (1 - discount)
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This is much better. ✅
Smaller functions with a single task are easier to test with unit tests because they have fewer dependencies and require less mocking.
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For example:
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Have you ever used the := operator in your code?
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