45 Pandas MCQs with solutions
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Are you preparing for AI interviews or want to test your knowledge in Vision Transformers (ViT)?
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
Are you ready: https://hackmd.io/@husseinsheikho/Python-interviews
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🚀 Comprehensive Guide: How to Prepare for a Data Analyst Python Interview – 350 Most Common Interview Questions
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#DataAnalysis #PythonInterview #DataAnalyst #Pandas #NumPy #Matplotlib #Seaborn #SQL #DataCleaning #Visualization #MachineLearning #Statistics #InterviewPrep
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🚀 Comprehensive Guide: How to Prepare for an Image Processing Job Interview – 500 Most Common Interview Questions
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#ImageProcessing #ComputerVision #OpenCV #Python #InterviewPrep #DigitalImageProcessing #MachineLearning #AI #SignalProcessing #ComputerGraphics
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#ImageProcessing #ComputerVision #OpenCV #Python #InterviewPrep #DigitalImageProcessing #MachineLearning #AI #SignalProcessing #ComputerGraphics
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Forwarded from Python | Machine Learning | Coding | R
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Opened access to the Jay Welcome Club where the AI bot does all the work itself💻
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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
Start: https://hackmd.io/@husseinsheikho/WS-Interview
Start: https://hackmd.io/@husseinsheikho/WS-Interview
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Python Data Science Jobs & Interviews
500 Essential Web Scraping Interview Questions Start: https://hackmd.io/@husseinsheikho/WS-Interview ✉️ Our Telegram channels: https://t.iss.one/addlist/0f6vfFbEMdAwODBk 📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
500 Essential Web Scraping Interview Questions with Answers - part 1 (1 to 238)
Link: https://hackmd.io/@husseinsheikho/WS-Ans238
500 Essential Web Scraping Interview Questions with Answers - part 2 (239 to 386)
Link: https://hackmd.io/@husseinsheikho/WS-Ans386
500 Essential Web Scraping Interview Questions with Answers - part 3 (387 to 500)
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Link: https://hackmd.io/@husseinsheikho/WS-Ans238
500 Essential Web Scraping Interview Questions with Answers - part 2 (239 to 386)
Link: https://hackmd.io/@husseinsheikho/WS-Ans386
500 Essential Web Scraping Interview Questions with Answers - part 3 (387 to 500)
Link: https://hackmd.io/@husseinsheikho/WS-Ans500
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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
A slug is a friendly and readable string format commonly used in URLs to identify a resource.
🔸 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:
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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
Library installation:
pip install python-slugify
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Top 140 PyTorch Interview Questions and Answers
This comprehensive guide covers essential PyTorch interview questions across multiple categories, with detailed explanations for each.these 140 carefully curated questions represent the most important concepts you'll encounter in #PyTorch interviews.
🧠 Link: https://hackmd.io/@husseinsheikho/pytorch-interview
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This comprehensive guide covers essential PyTorch interview questions across multiple categories, with detailed explanations for each.these 140 carefully curated questions represent the most important concepts you'll encounter in #PyTorch interviews.
https://t.iss.one/CodeProgrammer
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