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

نمایش بیشتر

شبکه:Machine Learning with Python الهند9 421 فناوری و برنامه‌ها3 225...

📈 تحلیل کانال تلگرام Learn Python Coding

کانال Learn Python Coding (@pythonre) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 40 657 مشترک است و جایگاه 3 225 را در دسته فناوری و برنامه‌ها و رتبه 9 421 را در منطقه الهند دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 40 657 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 05 اکتبر, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 458 و در ۲۴ ساعت گذشته برابر 8 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

وضعیت تأیید: تأیید نشده
نرخ تعامل (ER): میانگین تعامل مخاطب 5.17% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 0.92% واکنش نسبت به کل مشترکان کسب می‌کند.
دسترسی پست‌ها: هر پست به طور میانگین 2 100 بازدید دریافت می‌کند. در اولین روز معمولاً 375 بازدید جمع‌آوری می‌شود.
واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 5 است.
علایق موضوعی: محتوا بر موضوعات کلیدی مانند math, harvard, oxford, supervision, waybienad تمرکز دارد.

📝 توضیح و سیاست محتوایی

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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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Repost from Machine Learning with Python

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Repost from Udemy Free

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Repost from Machine Learning with Python

This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visualization 4️⃣ Artificial Intelligence 5️⃣ Data Analysis 6️⃣ Statistics 7️⃣ Deep Learning 8️⃣ programming Languages ✅ https://t.me/addlist/8_rRW2scgfRhOTc0 ✅ https://t.me/Codeprogrammer

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👩‍💻 heapq.merge(): Combining sorted data! If you have multiple sources of data that are already sorted, you don't need to collect them into a single collection and sort them again. heapq.merge() combines such sources into a single, ordered iterator. In this guide: • We will combine multiple sorted sequences; • We will explore lazy processing of large data sources; • We will configure comparison using the key argument; • We will combine data sorted in reverse order. This is especially useful when working with logs, files, and query results, where each source already provides data in the correct order. #Python #heapq #DataProcessing #CodingTips #Programming #Algorithms ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

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Repost from Machine Learning with Python

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📌 Marking Deprecated Code in Python: deprecated() In large projects, old functions are not always immediately removed. They are often left for compatibility, but it's important to warn developers that they should no longer be used. 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"

Now, the information about deprecation is part of the API itself. It can be recognized not only during runtime, but also by editors and static analysis tools. This also works for classes:

@deprecated("Use NewClient")
class OldClient:
    pass

This is convenient for libraries, SDKs, and large projects where the API is gradually changing. #Python #Python313 #Deprecated #Coding #Programming #SoftwareDevelopment ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

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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)

def calculate_tax(amount: float, tax_rate: float) -> float:
    return amount * (1 + tax_rate)

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. Furthermore, isolated components are easier to reuse in different parts of the application or pipeline without bringing in unnecessary dependencies. Therefore, keep your functions simple and focused. One function – one responsibility. 📝 #Python #Coding #SoftwareDevelopment #CleanCode #Programming #BestPractices ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

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Here's a small fact about Python 🐍 The := operator is called the "walrus" because the symbols resemble the eyes and tusks of a walrus 🦭 It was introduced in Python 3.8 and allows you to assign a value to a variable and use it directly within the expression at the same time. For example:

while (line := input("Say something: ")) != "quit":
    print(f"You said: {line}")

Without it, you would have to retrieve the value separately using input(), and then check it. Have you ever used the := operator in your code? #Python #Programming #WalrusOperator #Coding #TechFacts #Python3 ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

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Repost from Machine Learning with Python

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