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Quickstart: add links to C/Fortan and np/plt tutorials
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foundations/quickstart.ipynb

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"\n",
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"- Find the **\"Rocket Ship\"** icon, **located near the top-right of this page**. Click on it to open a text box.\n",
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"- Enter the Pythia Binder link `https://binder.projectpythia.org/`, and click **Launch**.\n",
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"- This page will open up as a [Jupyter notebook](jupyter.html) in a working Python environment in the cloud.\n",
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"- This page will open up as a [Jupyter notebook](jupyter.md) in a working Python environment in the cloud.\n",
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"- Press <kbd>Shift</kbd>+<kbd>Enter</kbd> to execute each code cell\n",
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"- Feel free to make changes and play around!"
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]
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"source": [
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"A few things to note:\n",
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"\n",
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"- Python defaults to counting from 0 (like C) rather than from 1 (like Fortran).\n",
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"- Python defaults to counting from 0 (like [C](https://en.wikipedia.org/wiki/C_(programming_language))) rather than from 1 (like [Fortran](https://en.wikipedia.org/wiki/Fortran)).\n",
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"- Function calls in Python always use parentheses: `print()`\n",
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"- The colon `:` denotes the beginning of a definition (here of the repeated code under the `for` loop).\n",
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"- Code blocks are identified through indentations.\n",
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"source": [
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"## Resources and references\n",
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"\n",
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"- [Official Python tutorial (Python Docs)](https://docs.python.org/3/tutorial/index.html)"
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"- [Official Python tutorial (Python Docs)](https://docs.python.org/3/tutorial/index.html)\n",
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"- [NumPy tutorials](https://numpy.org/learn/)\n",
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"- [Matplotlib tutorials](https://matplotlib.org/stable/tutorials/index.html)"
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]
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}
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],
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.12"
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"version": "3.14.1"
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}
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},
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"nbformat": 4,

preamble/how-to-use.md

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## Organization of Pythia Foundations
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Pythia Foundations is organized into two main sections as seen in
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the sidebar on the left and the schematic below: Foundational Skills, and Core Scientific
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Python Packages. The first, Foundational Skills, covers essential
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the sidebar on the left and the schematic below:
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[Foundational Skills](https://foundations.projectpythia.org/foundations/overview/),
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and [Core Scientific Python Packages](https://foundations.projectpythia.org/core/overview/).
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The first, Foundational Skills, covers essential
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material that all users of Project Pythia are expected to feel
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comfortable with in order to make the most of the rest of the Project
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Pythia content. The second, Core Scientific Python Packages, covers

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