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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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 πŸš€
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✨ artificial intelligence (AI) | AI Coding Glossary ✨

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

🏷️ #Python
✨ agentic coding | AI Coding Glossary ✨

πŸ“– 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 ✨

πŸ“– 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 ✨

πŸ“– Learn how to use Pythonβ€”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 ✨

πŸ“– 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 ✨

πŸ“– The input text or a structured message that tells a generative model what to do.

🏷️ #Python
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✨ transformer | AI Coding Glossary ✨

πŸ“– 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 ✨

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

🏷️ #Python
✨ Quiz: Polars vs pandas: What's the Difference? ✨

πŸ“– Take this quiz to test your knowledge of the Polars vs pandas tutorial and review the key differences between these open-source Python libraries.

🏷️ #intermediate #data-science #python
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✨ neural network | AI Coding Glossary ✨

πŸ“– A computational model composed of layered, interconnected units that learn learn input-to-output mappings.

🏷️ #Python
✨ generative model | AI Coding Glossary ✨

πŸ“– A model that learns a data distribution so it can generate new samples or assign probabilities to observations.

🏷️ #Python
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✨ prompt engineering | AI Coding Glossary ✨

πŸ“– The practice of designing and refining prompts for generative models.

🏷️ #Python
✨ training | AI Coding Glossary ✨

πŸ“– The process of fitting a model’s parameters to data by minimizing a loss function.

🏷️ #Python
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✨ system prompt | AI Coding Glossary ✨

πŸ“– A message that establishes a model’s role, goals, constraints, and style before user inputs.

🏷️ #Python
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✨ hallucination | AI Coding Glossary ✨

πŸ“– When a generative model produces confident but false or unverifiable content and presents it as fact.

🏷️ #Python
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Forwarded from Machine Learning
πŸ“Œ Python 3.14 and the End of the GIL

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2025-10-18 | ⏱️ Read time: 16 min read

Exploring the opportunities and challenges of a GIL-free Python
✨ temperature | AI Coding Glossary ✨

πŸ“– A decoding parameter that rescales model logits before sampling.

🏷️ #Python
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✨ context engineering | AI Coding Glossary ✨

πŸ“– The systematic design and optimization of the information given to a model at inference time so it can answer effectively.

🏷️ #Python