Code With Python – Telegram
Code With Python
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This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA – perfect for learning, coding, and mastering key programming skills.
Admin: @HusseinSheikho || @Hussein_Sheikho
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🏳️‍🌈 Notes "Mastering Python"
From Basic to Advanced

👨🏻‍💻 An excellent note that teaches everything from basic concepts to building professional projects with Python.

⭕️ Basic concepts like variables, data types, and control flow

Functions, modules, and writing reusable code

⭕️ Data structures like lists, dictionaries, sets, and tuples

Object-oriented programming: classes, inheritance, and polymorphism

⭕️ Working with files, error handling, and debugging

⬅️ Alongside, with practical projects like data analysis, web scraping, and working with APIs, you learn how to apply Python in the real world.

🌐 #Data_Science #DataScience
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Quiz: Python 3.14: Cool New Features for You to Try

📖 In this quiz, you'll test your understanding of the new features introduced in Python 3.14. By working through this quiz, you'll review the key updates and improvements in this version of Python.

🏷️ #intermediate #python
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)
6
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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large language model (LLM) | AI Coding Glossary

📖 A neural network that predicts the next token to perform general-purpose language tasks.

🏷️ #Python
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
Reference: AI Coding Glossary

📖 Concise explanations of foundational terms and concepts for AI-assisted coding.

🏷️ #2_terms
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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
agent | AI Coding Glossary

📖 A system that perceives, decides, and acts toward goals, often looping over steps with tools, memory, and feedback.

🏷️ #Python
Forwarded from PyData Careers
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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artificial intelligence (AI) | AI Coding Glossary

📖 The field of building machines and software that perform tasks requiring human-like intelligence.

🏷️ #Python
agentic coding | AI Coding Glossary

📖 An approach to software development in which AI agents plan, write, run, and iteratively improve code.

🏷️ #Python
Quiz: How to Use Python: Your First Steps

📖 Review the basics of Python with this quiz. Practice syntax, keywords, variables, errors, and tools every beginner should know.

🏷️ #basics #python
How to Use Python: Your First Steps

📖 Learn how to use Python—install it, run code, and work with data types, functions, classes, and loops. Explore essential tools and build a solid foundation.

🏷️ #basics #python
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vibe coding | AI Coding Glossary

📖 An AI-assisted programming style where a developer describes goals in natural language and accepts model-generated code with minimal manual editing.

🏷️ #Python
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prompt | AI Coding Glossary

📖 The input text or a structured message that tells a generative model what to do.

🏷️ #Python
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transformer | AI Coding Glossary

📖 A neural network model that uses self-attention to handle sequences without recurrence or convolutions.

🏷️ #Python
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machine learning | AI Coding Glossary

📖 A subfield of AI that builds models that improve their performance on a task by learning patterns from data.

🏷️ #Python