Python Data Science Jobs & Interviews
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Your go-to hub for Python and Data Science—featuring questions, answers, quizzes, and interview tips to sharpen your skills and boost your career in the data-driven world.

Admin: @Hussein_Sheikho
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🔥 Master Vision Transformers with 65+ MCQs! 🔥

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🔹 Table of Contents
Basic Concepts (Q1–Q15)
Architecture & Components (Q16–Q30)
Attention & Transformers (Q31–Q45)
Training & Optimization (Q46–Q55)
Advanced & Real-World Applications (Q56–Q65)
Answer Key & Explanations

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🚀 Comprehensive Guide: How to Prepare for a Python Job Interview – 200 Most Common Interview Questions

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🚀 Comprehensive Guide: How to Prepare for a Data Analyst Python Interview – 350 Most Common Interview Questions

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🚀 Comprehensive Guide: How to Prepare for an Image Processing Job Interview – 500 Most Common Interview Questions

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🚀 Comprehensive Guide: How to Prepare for a Graph Neural Networks (GNN) Job Interview – 350 Most Common Interview Questions

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500 Essential Web Scraping Interview Questions

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Slugify module

A slug is a simplified version of a title or name where special characters are replaced with hyphens (-), and all letters are converted to lowercase. For example, the title "How to create a slug in Python!" becomes "how-to-create-a-slug-in-python"

A slug is a friendly and readable string format commonly used in URLs to identify a resource.
 
from slugify import slugify

title = "Example post about creating slugs"
slug = slugify(title)
print(slug)  # output: example-post-about-creating-slugs


🔸The string is converted to lowercase.
🔸Special characters and spaces are removed and replaced with hyphens.
🔸The result is short and easy to read.

Library installation:
pip install python-slugify


👉 @DataScience4
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