| ... | ... | @@ -47,3 +47,48 @@ Every one: researcher, engineer, student, with already knowledge in python progr |
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This course is **not** an initiation to programming. You **must** have basic skills in Python (see Prerequisites)
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This course is **not** an introduction to statistics. You have to know XXX
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## Program
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<table>
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<thead>
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<tr>
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<th> Day </th>
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<th> Topic </th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>Day 1</td>
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<td>
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<ul>
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<li>use of <a href="https://jupyter.org/">jupyterlab</a> to produce comprehensive notebook</li>
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<li>use of <a href="https://numpy.org/">numpy</a> library to manipulate numeric data</li>
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<li>start to manipulate tabular data with <a href="https://pandas.pydata.org/">pandas</a></li>
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</ul>
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</td>
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</tr>
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<tr>
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<td>Day 2</td>
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<td>
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<ul>
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<li>continue with pandas</li>
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<li>visualize data with <a href="https://matplotlib.org/">matplotlib</a> and <a href="https://seaborn.pydata.org/">seaborn</a></li>
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</ul>
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</td>
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</tr>
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<tr>
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<td>Day 3</td>
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<td></td>
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</tr>
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<tr>
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<td>Day 4</td>
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<td></td>
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</tr>
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<tr>
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<td>Day 5</td>
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<td></td>
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</tr>
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</tbody>
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For all topics we will spend 50% of our time for the lectures 50% with practicals. |
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