Data Management for Natural Scientists: A Practical Guide to Extraction and Storage Using Python
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The Data Guidebook for Scientists offers a hands-on guide for scientific processing of data for the practitioner. It covers the range from getting hands on experimental results to ensuring their use for addressing possible future questions unknown at the time of analysis. Code snippets are provided to adjust the proposed workstream to specific needs of the reader.
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The Data Guidebook for Scientists offers a hands-on guide for scientific processing of data for the practitioner. It covers the range from getting hands on experimental results to ensuring their use for addressing possible future questions unknown at the time of analysis. Code snippets are provided to adjust the proposed workstream to specific needs of the reader.
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The Data Guidebook for Scientists offers a hands-on guide for scientific processing of data for the practitioner. It covers the range from getting hands on experimental results to ensuring their use for addressing possible future questions unknown at the time of analysis. Code snippets are provided to adjust the proposed workstream to specific needs of the reader.
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