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<feed xmlns="http://www.w3.org/2005/Atom"><title>Jupyter Blog - Samuel Brice</title><link href="https://jasongrout.github.io/medium-archive/pelican/" rel="alternate"/><link href="https://jasongrout.github.io/medium-archive/pelican/feeds/author-samuel-brice.atom.xml" rel="self"/><id>https://jasongrout.github.io/medium-archive/pelican/</id><updated>2018-10-22T18:18:00+00:00</updated><subtitle>The Project Jupyter blog: news, releases, and community stories, archived from blog.jupyter.org.</subtitle><entry><title>Contribute to your first open source project</title><link href="https://jasongrout.github.io/medium-archive/pelican/posts/2018/disc-sprint-nyc-2018/" rel="alternate"/><published>2018-10-22T18:13:00+00:00</published><updated>2018-10-22T18:18:00+00:00</updated><author><name>Samuel Brice</name></author><id>tag:jasongrout.github.io,2018-10-22:/medium-archive/pelican/posts/2018/disc-sprint-nyc-2018/</id><summary type="html">&lt;p&gt;This Friday, 10/26, NumFOCUS DISC is excited to host a first of its kind Open Source Inclusion Sprint — no prior experience necessary!&lt;/p&gt;
</summary><content type="html">&lt;p&gt;&lt;img src="https://jasongrout.github.io/medium-archive/pelican/posts/2018/disc-sprint-nyc-2018/images/001-1_E4wfBHKLHL_Hb85HN8dIRQ.webp" alt="" loading="lazy" data-body-image=""&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;This Friday, 10/26&lt;/strong&gt;, NumFOCUS &lt;strong&gt;DISC&lt;/strong&gt; is excited to host a first of its kind &lt;a href="https://github.com/sbrice/disc-sprint-nyc-2018"&gt;Open Source Inclusion Sprint&lt;/a&gt; — no prior experience necessary!&lt;/p&gt;
&lt;p&gt;&lt;a href="https://www.eventbrite.com/e/numfocus-open-data-science-hackathon-tickets-50877368579"&gt;Register Now&lt;/a&gt; (&lt;strong&gt;Discount Code:&lt;/strong&gt; DISC)&lt;/p&gt;
&lt;hr&gt;
&lt;figure&gt;
&lt;img alt="JupyterLab is the next-generation web-based user interface for Project Jupyter." src="https://jasongrout.github.io/medium-archive/pelican/posts/2018/disc-sprint-nyc-2018/images/002-1_Sst82t-Cm-DktVViFQ0I6w.mp4" loading="lazy" data-body-image=""&gt;
&lt;figcaption&gt;JupyterLab is the next-generation web-based user interface for Project Jupyter.&lt;/figcaption&gt;
&lt;/figure&gt;
&lt;p&gt;Join us at the &lt;strong&gt;Two Sigma&lt;/strong&gt; offices in lovely &lt;strong&gt;SoHo NYC&lt;/strong&gt; for a day of fun and learning. Core contributors from the &lt;strong&gt;JupyterLab&lt;/strong&gt; project will be on-site to get you setup and help trouble-shoot your code.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;If you’ve never contributed to open source this event is for you.&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Breakfast and lunch provided.&lt;/p&gt;
&lt;h3 id="what-to-bring"&gt;&lt;strong&gt;What to bring:&lt;/strong&gt;&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;Laptop&lt;/li&gt;
&lt;li&gt;Charger&lt;/li&gt;
&lt;li&gt;Curiosity&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h2 id="schedule"&gt;Schedule&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;8:30 am — 9:00 am: Breakfast with GitHub and technical setup (optional)&lt;/li&gt;
&lt;li&gt;9:00 am — 9:30 am: Introduction to &lt;a href="http://jupyter.org/"&gt;Project Jupyter&lt;/a&gt; and &lt;a href="https://github.com/jupyterlab/jupyterlab"&gt;JupyterLab&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;9:30 am — 1:00 pm: Coding&lt;/li&gt;
&lt;li&gt;1:00 pm — 2:00 pm: Lunch will be provided&lt;/li&gt;
&lt;li&gt;2:00 pm — 6:00 pm: Coding&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h2 id="featured-hacks"&gt;Featured Hacks:&lt;/h2&gt;
&lt;p&gt;Not confident in your coding chops? Want to learn more about how to use Jupyter? Have something else in mind? No problem! Let us know what you’d like to learn and we’ll show you how Jupyter can make the experience easier.&lt;/p&gt;
&lt;p&gt;Based on interest we’ll create workshops focused on the below topics. If you have something else in mind feel free to email &lt;a href="mailto:brices@gmail.com"&gt;Sam Brice&lt;/a&gt;.&lt;/p&gt;
&lt;h3 id="lets-make-an-xkcd-jupyterlab-extension-beginner"&gt;&lt;a href="https://jupyterlab.readthedocs.io/en/stable/developer/xkcd_extension_tutorial.html#xkcd-extension-tutorial"&gt;Let’s Make an xkcd JupyterLab Extension&lt;/a&gt; (Beginner)&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;Create your own JupyterLab Extension and publish it to GitHub and NPM.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Prerequisites:&lt;/strong&gt; Some programming experience. No prior Python or JupyterLab experience necessary.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="practical-machine-learning-with-jupyter-notebook-intermediate"&gt;&lt;a href="https://github.com/sbrice/practical-ml"&gt;&lt;strong&gt;Practical machine learning with Jupyter Notebook&lt;/strong&gt;&lt;/a&gt; &lt;strong&gt;(Intermediate)&lt;/strong&gt;&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;Walk through developing a machine learning pipeline, from prototyping to production, with the Jupyter platform.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Prerequisites:&lt;/strong&gt; Python programming experience, basic familiarity with math (e.g. linear algebra), and data analysis.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="get-started-with-tensorflow-advanced"&gt;&lt;a href="https://www.tensorflow.org/tutorials/"&gt;Get Started with TensorFlow&lt;/a&gt; (Advanced)&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;Learn and use ML by going through some beginner-friendly notebook examples. We’ll go through training a neural network to classify images and text.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Prerequisites:&lt;/strong&gt; Python programming experience, basic familiarity with math (e.g. linear algebra), and data analysis.&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h2 id="for-more-information"&gt;For More Information&lt;/h2&gt;
&lt;p&gt;Please visit &lt;a href="https://github.com/sbrice/disc-sprint-nyc-2018"&gt;the event GitHub&lt;/a&gt; for details or contact &lt;a href="mailto:brices@gmail.com"&gt;Sam Brice&lt;/a&gt; with any questions.&lt;/p&gt;
</content><category term="diversity"/><category term="events"/></entry></feed>