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@@ -116,26 +116,31 @@ Some best practices
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## project installation notes
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This section tracks some of my environments by names (corresponding to projects) and by
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manual module installs. (Unless noted modules are installed via `conda install`.) I believe
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it is considered best practive to install, for example, `jupyterlab` within each environment.
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i.e. multiple instances of `jupyterlab`.
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manual module installs. (Unless noted modules are installed via `conda install`.)
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It is best practive to install, for example, `jupyterlab` within each environment.
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i.e. multiple instances of `jupyterlab` rather than in the `base` environment.
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Note that `install jupyterlab` installs a host of libraries; so a subsequent generation of
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`environment.yml` will elicit a lot of modules, not just `jupyterlab`.
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- numbertheory: Basic coursework; see [this source repository](https://github.com/robfatland/ant).
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- jupyterlab: run this using the command `jupyter-lab`
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- matplotlib: typical charting accessed in `pyplot` via `from matplotlib import pyplot as plt`
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- Note this breaks with the domain name heuristic.
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- potentially: `FLINT` and then `python-flint` wrapper
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- epipelargosy
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- epipelargosy: A Jupyter book on observational oceanography; plus `oceanclient` a simple demonstrator data client
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- jupyterlab
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- matplotlib
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- pandas
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- already built in: IPython and sub-modules such as `Image`
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- pbytes
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- jupyterlab
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- matplotlib
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- pandas
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- already built in: requests, turtle
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- sodium (repos `sodium` and `steam`)
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- sodium (repositories `sodium` and `steam`)
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- jupyterlab
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- matplotlib
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- pandas

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