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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الشبكة:Machine Learning with Python الهند9 421 التكنولوجيات والتطبيقات3 225...

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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.

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التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 5.
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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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