Data Science Jupyter Notebooks
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Explore the world of Data Science through Jupyter Notebooksβ€”insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
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πŸ”₯ Trending Repository: Cloud-DevOps-Learning-Resources

πŸ“ Description: This repo includes Books and imp notes related to GCP, Azure, AWS, Docker, K8s, and DevOps. More, exam and interview prep notes.

πŸ”— Repository URL: https://github.com/ahmedtariq01/Cloud-DevOps-Learning-Resources

πŸ“– Readme: https://github.com/ahmedtariq01/Cloud-DevOps-Learning-Resources#readme

πŸ“Š Statistics:
🌟 Stars: 1.7K stars
πŸ‘€ Watchers: 38
🍴 Forks: 539 forks

πŸ’» Programming Languages: Not available

🏷️ Related Topics:
#linux #docker #kubernetes #jenkins #aws #ansible #devops #notes #azure #containers #terraform #gcp #cicd #devops_tools #cloudnative #cloudsecurity #cloudcomputing #devsecops #multicloud #azure_devops


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🧠 By: https://t.iss.one/DataScienceN
πŸ”₯ Trending Repository: loki

πŸ“ Description: Like Prometheus, but for logs.

πŸ”— Repository URL: https://github.com/grafana/loki

🌐 Website: https://grafana.com/loki

πŸ“– Readme: https://github.com/grafana/loki#readme

πŸ“Š Statistics:
🌟 Stars: 26.5K stars
πŸ‘€ Watchers: 377
🍴 Forks: 3.8K forks

πŸ’» Programming Languages: Go - TypeScript - Jsonnet - Smarty - Makefile - Ruby

🏷️ Related Topics:
#grafana #logging #prometheus #loki #cloudnative #hacktoberfest


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🧠 By: https://t.iss.one/DataScienceM
πŸ”₯ Trending Repository: minio

πŸ“ Description: MinIO is a high-performance, S3 compatible object store, open sourced under GNU AGPLv3 license.

πŸ”— Repository URL: https://github.com/minio/minio

🌐 Website: https://min.io/download?license=agpl&platform=linux

πŸ“– Readme: https://github.com/minio/minio#readme

πŸ“Š Statistics:
🌟 Stars: 56K stars
πŸ‘€ Watchers: 632
🍴 Forks: 6.3K forks

πŸ’» Programming Languages: Go

🏷️ Related Topics:
#go #kubernetes #cloud #storage #s3 #k8s #cloudnative #objectstorage #multi_cloud #cloudstorage #amazon_s3 #multi_cloud_kubernetes


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🧠 By: https://t.iss.one/DataScienceM