Data Science Jupyter Notebooks
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Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
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🧹 ObjectClear — an AI-powered tool for removing objects from images effortlessly.

⚙️ What It Can Do:

🖼️ Upload any image
🎯 Select the object you want to remove
🌟 The model automatically erases the object and intelligently reconstructs the background

⚡️ Under the Hood:

— Uses Segment Anything (SAM) by Meta for object segmentation
— Leverages Inpaint-Anything for realistic background generation
— Works in your browser with an intuitive Gradio UI

✔️ Fully open-source and can be run locally.

📎 GitHub: https://github.com/zjx0101/ObjectClear

#AI #ImageEditing #ComputerVision #Gradio #OpenSource #Python
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python-docx: Create and Modify Word Documents #python

python-docx is a Python library for reading, creating, and updating Microsoft Word 2007+ (.docx) files.

Installation
pip install python-docx

Example
from docx import Document

document = Document()
document.add_paragraph("It was a dark and stormy night.")
<docx.text.paragraph.Paragraph object at 0x10f19e760>
document.save("dark-and-stormy.docx")

document = Document("dark-and-stormy.docx")
document.paragraphs[0].text
'It was a dark and stormy night.'

https://yangx.top/DataScienceN 🚗
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🔥 Trending Repository: awesome-machine-learning-interpretability

📝 Description: A curated list of awesome responsible machine learning resources.

🔗 Repository URL: https://github.com/jphall663/awesome-machine-learning-interpretability

📖 Readme: https://github.com/jphall663/awesome-machine-learning-interpretability#readme

📊 Statistics:
🌟 Stars: 3.8K stars
👀 Watchers: 132
🍴 Forks: 608 forks

💻 Programming Languages: Not available

🏷️ Related Topics:
#python #data_science #machine_learning #awesome #r #awesome_list #transparency #fairness #ai_safety #privacy_enhancing_technologies #interpretability #interpretable_ai #interpretable_ml #explainable_ml #xai #interpretable_machine_learning #privacy_preserving_machine_learning #machine_learning_interpretability #secure_ml #reliable_ai


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🧠 By: https://yangx.top/DataScienceN
🔥 Trending Repository: awesome-learning

📝 Description: A curated lists of awesome learning resources for a Software Test Automation Engineer

🔗 Repository URL: https://github.com/mfaisalkhatri/awesome-learning

📖 Readme: https://github.com/mfaisalkhatri/awesome-learning#readme

📊 Statistics:
🌟 Stars: 1.1K stars
👀 Watchers: 36
🍴 Forks: 198 forks

💻 Programming Languages: Not available

🏷️ Related Topics:
#github #javascript #python #docker #programming_language #learning #devops #awesome #learning_path #tdd #continuous_integration #continuous_delivery #unicorns #test_automation #awesome_list #cicd #testautomation #software_testing #hacktoberfest


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🧠 By: https://yangx.top/DataScienceN
🔥 Trending Repository: coding-problems

📝 Description: Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures

🔗 Repository URL: https://github.com/MTrajK/coding-problems

📖 Readme: https://github.com/MTrajK/coding-problems#readme

📊 Statistics:
🌟 Stars: 3.3K stars
👀 Watchers: 85
🍴 Forks: 625 forks

💻 Programming Languages: Python

🏷️ Related Topics:
#python #education #algorithms #leetcode #interview #data_structures #learn #problem_solving #coding_problem


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🧠 By: https://yangx.top/DataScienceN
🔥 Trending Repository: DevOps-Roadmap

📝 Description: DevOps Roadmap for 2025. with learning resources

🔗 Repository URL: https://github.com/milanm/DevOps-Roadmap

🌐 Website: https://newsletter.techworld-with-milan.com/

📖 Readme: https://github.com/milanm/DevOps-Roadmap#readme

📊 Statistics:
🌟 Stars: 16.7K stars
👀 Watchers: 258
🍴 Forks: 2.8K forks

💻 Programming Languages: Not available

🏷️ Related Topics:
#python #go #linux #docker #kubernetes #computer_science #aws #devops #roadmap #jira #continuous_integration #azure #grafana #prometheus #sre #study_plan #continous_delivery #developer_roadmap #devops_roadmap


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🧠 By: https://yangx.top/DataScienceN