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.nojekyll

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index.html

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<section id="about-the-course" class="level1 unnumbered">
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<h1 class="unnumbered">About the Course</h1>
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<p>This is a free, <strong>short introduction</strong> to the Python programming language, emphasizing practical over theoretical aspects and with a focus on data-related tasks.<br>
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The goal is to get you just enough tools under your belt for you to pursue your own learning path according to your interests. What’s in for you:</p>
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<p>✅ Core concepts of the language explained in <em>simple words</em><br>
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✅ Software engineering best-practices (project/dependency management, <a href="https://docs.astral.sh/uv/"><code>uv</code></a>, testing with <a href="https://docs.pytest.org/en/stable/">pytest</a>, error handling, etc.)<br>
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✅ Useful references to deepen your knowledge (talks, books, cheatsheets, etc.)<br>
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Goal: Get you just enough tools under your belt to pursue your own learning path.<br>
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What’s in for you:</p>
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<p>✅ Core concepts explained in <em>simple words</em><br>
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✅ Software engineering best-practices (project/dependency management, testing etc.)<br>
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✅ References to talks, books, cheatsheets, etc. to deepen your knowledge<br>
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✅ Exercises for each chapter to ramp up your skills with deliberate practice<br>
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✅ Integrative “Labs” with real-world datasets</p>
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<p>Code notebooks and report any problems on <a href="https://www.github.com/fabridamicelli/python-course">this GitHub repository</a>.</p>
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<p>Off we go! 🚀</p>
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</section>
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<section id="about-the-author" class="level1">
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<h1>About the Author</h1>
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<p>Fabrizio Damicelli (PhD, Computational Neuroscience) is a self-taught coder who prefers solid intuitions to unnecessary sophistication and fancy jargon.<br>
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Open source advocate, creator and maintainer of a few of Python packages and Open Source projects.<br>
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<p><a href="https://fabridamicelli.com/">Fabrizio Damicelli</a> (PhD, Computational Neuroscience) is a coder who prefers solid intuitions to unnecessary sophistication and fancy jargon.<br>
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Open source advocate, creator and maintainer of a few Open Source projects, including several <a href="https://pypi.org/user/fabridamicelli/">Python Packages</a>.<br>
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Learn more about him <a href="https://fabridamicelli.github.io">here</a>.</p>
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<p>You can hire the author to teach this course on-site at your company or university.<br>
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Reach out by email: fabridamicelli at gmail dot com.</p>
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</section>

search.json

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"text": "About the Course\nThis is a free, short introduction to the Python programming language, emphasizing practical over theoretical aspects and with a focus on data-related tasks.\nThe goal is to get you just enough tools under your belt for you to pursue your own learning path according to your interests. What’s in for you:\n✅ Core concepts of the language explained in simple words\n✅ Software engineering best-practices (project/dependency management, uv, testing with pytest, error handling, etc.)\n✅ Useful references to deepen your knowledge (talks, books, cheatsheets, etc.)\n✅ Exercises for each chapter to ramp up your skills with deliberate practice\n✅ Integrative “Labs” with real-world datasets\nCode notebooks and report any problems on this GitHub repository.\nOff we go! 🚀\n\n\nAbout the Author\nFabrizio Damicelli (PhD, Computational Neuroscience) is a self-taught coder who prefers solid intuitions to unnecessary sophistication and fancy jargon.\nOpen source advocate, creator and maintainer of a few of Python packages and Open Source projects.\nLearn more about him here.",
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"text": "About the Course\nThis is a free, short introduction to the Python programming language, emphasizing practical over theoretical aspects and with a focus on data-related tasks.\nGoal: Get you just enough tools under your belt to pursue your own learning path.\nWhat’s in for you:\n✅ Core concepts explained in simple words\n✅ Software engineering best-practices (project/dependency management, testing etc.)\n✅ References to talks, books, cheatsheets, etc. to deepen your knowledge\n✅ Exercises for each chapter to ramp up your skills with deliberate practice\n✅ Integrative “Labs” with real-world datasets\nCode notebooks and report any problems on this GitHub repository.\nOff we go! 🚀\n\n\nAbout the Author\nFabrizio Damicelli (PhD, Computational Neuroscience) is a coder who prefers solid intuitions to unnecessary sophistication and fancy jargon.\nOpen source advocate, creator and maintainer of a few Open Source projects, including several Python Packages.\nLearn more about him here.\nYou can hire the author to teach this course on-site at your company or university.\nReach out by email: fabridamicelli at gmail dot com.",
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