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<li>The 3-day course organised by <ahref="https://www.aries-dtp.ac.uk/">ARIES DTP</a> and <ahref="https://www.cefas.co.uk/">Cefas</a> giving a hands-on introduction to <ahref="http://www.python.org/">Python</a> programming language.</li>
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<li>You will learn Python programming, starting from the basics, and evolving into data analysis and visualisation using data formats commonly used in environmental sciences. If you have no programming experience in any language, it is recommended that you take a 1-2 hour online course, such as <ahref="https://app.datacamp.com/learn/courses/intro-to-python-for-data-science">Python Basics on datacamp</a>, to get confortable with basic concepts such as variables. </li>
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<li>Suitable for both python novices and intermediate users.</li>
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<li>In person course at the UEA (<ahref="https://www.uea.ac.uk/about/campus-map">Zicer Building</a>, room 0.02). Lunch and refreshments will be provided.</li>
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<li>In person course at the UEA (<ahref="https://www.uea.ac.uk/about/campus-map">Queens Building</a>, room 2.22). Lunch and refreshments will be provided.</li>
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<li>We will offer a limited number of places online for ARIES studends that are not registered with the UEA and CEFAS staff based in Weymouth. </li>
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</ul>
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<h3id="when-and-where">When and where</h3>
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<td>1st of July 2024</td>
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<td>2nd of June 2025</td>
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<td>8:30 - 17:00</td>
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<td>Python basics</td>
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</tr>
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<tr>
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<td>2nd of July 2024</td>
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<td>3rd of June 2025</td>
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<td>9:00 - 17:00</td>
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<td>Functions, simple programs and arrays</td>
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</tr>
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<td>3rd of July 2024</td>
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<td>4th of June 2025</td>
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<td>9:00 - 17:00</td>
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<td>Plotting and data analysis</td>
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<li>Cefas staff and CASE students</li>
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</ul>
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<p>The course is open to all UEA staff and students interested in environmental sciences for a fee of 50 GBP. See contact below for enquiries.</p>
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<p>Registeration for <ahref="https://www.eventbrite.co.uk/e/introduction-to-python-in-environmental-sciences-2024-aries-and-uea-tickets-907499695017?aff=erelpanelorg">ARIEs and UEA students</a> and for <ahref="https://www.eventbrite.co.uk/e/introduction-to-python-in-environmental-sciences-2024-cefas-attendees-tickets-900050935577?aff=erelpanelorg">Cefas staff</a></p>
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<p>Registeration for <ahref="https://www.eventbrite.co.uk/e/introduction-to-python-in-environmental-sciences-2025-aries-and-uea-tickets-907499695017?aff=erelpanelorg">ARIEs and UEA students</a> and for <ahref="https://www.eventbrite.co.uk/e/introduction-to-python-in-environmental-sciences-2025-cefas-attendees-tickets-900050935577?aff=erelpanelorg">Cefas staff</a></p>
<p>It is recommended to have python installed on your laptop. Nevertheless there are two alternatives:</p>
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<ul>
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<li>
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<p>If you are unable to install python on your laptop, you can use the free cloud hosting service <ahref="https://mybinder.org/v2/gh/ueapy/pythoncourse2024-materials/main?urlpath=lab"><imgalt="Binder" src="https://mybinder.org/badge_logo.svg" /></a>. It will allow you to run all the lessons with the accompaigning data albeit with some limitations. It will be slower to start a session and run more involved examples, and it will not allow you to load your own data or save any changes made to the lessons.</p>
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<p>If you are unable to install python on your laptop, you can use the free cloud hosting service <ahref="https://mybinder.org/v2/gh/ueapy/pythoncourse2025-materials/main?urlpath=lab"><imgalt="Binder" src="https://mybinder.org/badge_logo.svg" /></a>. It will allow you to run all the lessons with the accompaigning data albeit with some limitations. It will be slower to start a session and run more involved examples, and it will not allow you to load your own data or save any changes made to the lessons.</p>
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</li>
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<li>
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<p>If you already have an account on the Ada High Performance Computing Cluster, then it would be possible to run the Jupyter notebooks of the lessons by starting a session on <ahref="https://adaood01.uea.ac.uk/">Ada OnDemand</a>. You can try to follow the instructions below for copying and running the lessons, but we won't be able to provide support to get yourself setup.</p>
<p>For this course it is recommneded that you have Python installed on your laptop. Follow the instructions below to set up your Python environment with the required packages used in the lessons. Make sure you do this do this <strong>before</strong> the course, including running the test as below. There will be a troubleshooting session on the first day at 8:30 as advertised in the invite email.</p>
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<p>Feel free to contact <ahref="mailto:[email protected]">Claire at Cefas</a> or <ahref="mailto:e.karlowska@uea.ac.uk">Eliza at UEA</a> if you have any problems with the installation (but better do an internet search first!)</p>
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<p>Feel free to contact <ahref="mailto:[email protected]">Claire at Cefas</a> or <ahref="mailto:a.hsu@uea.ac.uk">Alice at UEA</a> if you have any problems with the installation (but better do an internet search first!)</p>
<p>From the Friday before the course (28th of June) the material for the workshop can be downloaded as a <ahref="https://github.com/ueapy/pythoncourse2024-materials/archive/main.zip">zip file</a> or can be cloned from our <ahref="https://github.com/ueapy/pythoncourse2024-materials">GitHub repository</a>. </p>
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<p>From the Friday before the course (28th of June) the material for the workshop can be downloaded as a <ahref="https://github.com/ueapy/pythoncourse2025-materials/archive/main.zip">zip file</a> or can be cloned from our <ahref="https://github.com/ueapy/pythoncourse2025-materials">GitHub repository</a>. </p>
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<h4id="121-option-1-download-zip-file-easier">1.2.1. Option 1: Download ZIP file (easier)</h4>
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<p>Download the materials as a <ahref="https://github.com/ueapy/pythoncourse2024-materials/archive/main.zip">zip file</a> and unpack it in a suitable directory, for example, in <code>Downloads</code> folder. Jump to <ahref="#13-create-the-environment">1.3. Create the environment</a>.</p>
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<p>Download the materials as a <ahref="https://github.com/ueapy/pythoncourse2025-materials/archive/main.zip">zip file</a> and unpack it in a suitable directory, for example, in <code>Downloads</code> folder. Jump to <ahref="#13-create-the-environment">1.3. Create the environment</a>.</p>
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<h4id="122-option-2-using-git-allows-restoring-originals-after-modifications">1.2.2. Option 2: Using Git (allows restoring originals after modifications)</h4>
<p>This should open Jupyter Lab in your browser. We will also demonstrate using Jupyter Notebook which is the older version with a simplified interface and is started with</p>
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<pre><code>jupyter notebook
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</code></pre>
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<h2id="still-having-trouble">Still having trouble?</h2>
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<p>If you are unable to install Anaconda Python on your PC, contact the <ahref="../#registration-and-enquiries">course organisers</a>.
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Another option: launch the course in the cloud! <ahref="https://mybinder.org/v2/gh/ueapy/pythoncourse2024-materials/main?urlpath=lab"><imgalt="Binder" src="https://mybinder.org/badge_logo.svg" /></a> This requires no installation but progress and modifications won't be saved.</p>
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Another option: launch the course in the cloud! <ahref="https://mybinder.org/v2/gh/ueapy/pythoncourse2025-materials/main?urlpath=lab"><imgalt="Binder" src="https://mybinder.org/badge_logo.svg" /></a> This requires no installation but progress and modifications won't be saved.</p>
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