Jupyter Notebooks let you combine code, comments, multimedia, and visualizations into an interactive document that can be shared, re-used, and re-worked. Originally developed for data science ...
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How to Use pandas DataFrames in Python to Analyze and Manipulate Data
pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into ...
In this video from the Blue Waters Symposium, Roland Haas from NCSA presents: Tutorial: How to use Jupyter Notebooks. Jupyter notebooks provide a web-based interface to Python, R, Julia and other ...
Google Colab is useful for anyone exploring Python, data science, or machine learning without a powerful computer. Students and beginners can use Colab to explore Python and data science directly in ...
Our digital world is so much more interactive than the paper one it has been replacing. That becomes very obvious in the features of Jupyter Notebooks. The point is to make your data beautiful, ...
At some point, we all need to show our work. Most programming work is shared either as raw source code or as a compiled executable. The source code provides complete information, but in a way that’s ...
"A hands-on session and guided tutorial for advanced users to explore how to use the EO4SD CR platform Jupyter Notebook, including how to access EO data, conduct analyses and extract data time series.
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