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Part-2

DEV CommunityยทDolly Sharmaยทabout 1 month ago
#SW6HXAIR
#jupyter#perfect#tensorflow#oneline#pro#fullscreen
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โš”๏ธ Jupyter Notebook vs Google Colab ๐Ÿ”น 1. Setup & Installation ๐Ÿ–ฅ๏ธ Jupyter Notebook Needs local installation You install Python, libraries manually ๐Ÿ‘‰ Interview line: โ€œJupyter requires local setup and dependency management.โ€ โ˜๏ธ Google Colab No installation required Runs in browser ๐Ÿ‘‰ Interview line: โ€œColab is pre-configured and ready to use instantly.โ€ ๐Ÿ”น 2. Hardware Support ๐Ÿ–ฅ๏ธ Jupyter Uses your laptopโ€™s CPU/GPU Limited by your system ๐Ÿ‘‰ โ€œPerformance depends on local machine.โ€ โ˜๏ธ Colab Free GPU/TPU support ๐Ÿ‘‰ โ€œColab provides cloud-based GPU, which is useful for deep learning.โ€ ๐Ÿ”น 3. Performance ๐Ÿ–ฅ๏ธ Jupyter Fast for small tasks Slow for heavy models (if no GPU) โ˜๏ธ Colab Faster for heavy tasks (GPU) But limited session time ๐Ÿ”น 4. Storage & Saving ๐Ÿ–ฅ๏ธ Jupyter Files saved locally Full control โ˜๏ธ Colab Files saved on Google Drive Needs internet ๐Ÿ”น 5. Collaboration ๐Ÿ–ฅ๏ธ Jupyter Not real-time collaboration โ˜๏ธ Colab Real-time sharing (like Google Docs) ๐Ÿ‘‰ โ€œColab is better for team collaboration.โ€ ๐Ÿ”น 6.โ€ฆ

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