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What are the differences between %pip and %conda commands in Databricks?

Spark/Big Dataeasy0.6 min readPremium
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Asked at 1 company
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questions in Spark/Big Data
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1,863
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Asked at these companies
TCS
Key Concepts Tested
python
Expert AnswerPremium
116 wordsInterview-ready
**%pip**: Installs into current Python env (notebook or cluster). Uses PyPI. Changes apply to current session. Preferred for ad-hoc and most Python packages. **%conda**: Manages conda envs; uses Conda repos. Useful for R, mixed R/Python, or packages with complex native deps. May require cluster restart for env changes. **Why Not Use Either in Prod**: Notebook-installed packages are ephemeral; next cluster may not have them....
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