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InteractiveResource . 2022
License: CC BY
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License: CC BY
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Scientific Data Analysis and Visualization with Python

appsOther research productkeyboard_double_arrow_right InteractiveResource 02 Feb 2022Publisher:Zenodo
Authors: Md. Jalal Uddin;

doi: 10.5281/zenodo.5944708

Scientific Data Analysis and Visualization with Python

Abstract

The training materials are provided for international learners. However, the following lectures on Python are available on YouTube for both international and Bangladeshi learners. For international learners: https://youtube.com/playlist?list=PL4T8G4Q9_JQ9ci8DAhpizHGQ7IsCZFsKu For Bangladeshi learners: https://youtube.com/playlist?list=PL4T8G4Q9_JQ_byYGwq3FyGhDOFRNdHRL8

My profile: https://researchsociety20.org/founder-and-director/

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Keywords

Jalal dream, Scientific data analysis with Python, Research Society, Python, Jupyter Notebook, Visualization with Python

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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