What are Sprints?<\/h2>\n
Development sprints offer an opportunity to enhance and contribute to open source projects in a focused session with the project maintainers. It is a fun exercise that helps open source projects to improve with the help of the open source community.<\/p>\n
Who can participate?<\/h4>\n
ALL experience levels are welcome to participate. Contribution guides and environment setup instructions are provided with each sprint.<\/p>\n
Sprints Schedule<\/h4>\n
You can access the schedule of the sprints using this\u00a0link<\/a>.<\/p>\n The duration of each sprint is 4 hours unless stated otherwise.<\/p>\n Discord Zoom Before the Sprint In PyData Global 2022, 8 projects will have separate sprint sessions with some of its awesome project core developers and maintainers!<\/p>\n [\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/12″][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row][vc_column][vc_separator color=”peacoc”][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=”0.1″ el_id=”vizzu”][vc_column width=”1\/4″][vc_empty_space][vc_empty_space][vc_column_text] December 1 | 1pm – 5pm UTC (2pm Budapest CET)<\/p>\n The sprint is held on Zoom at https:\/\/us05web.zoom.us\/j\/87264629924?pwd=NFJ6K09XMkRkV2xWWE9RY2x4czJ3dz09<\/a>.<\/span><\/p> We built a data viz engine that – <\/span>as Elijah Meeks put it<\/span><\/a> – provides the most complete form of animating between chart forms. We embedded it into open-source charting tools and built <\/span>data stories<\/span><\/a> that gathered 40+ million views and 200k+ upvotes on Reddit.<\/span><\/p>\n Our products work similarly to other charting solutions, but when you create a set of charts with Vizzu, it automatically animates between them. We have an open-source Javascript library called <\/span>vizzu-lib<\/span><\/a> and <\/span>ipyvizzu<\/span><\/a>, a Jupyter notebook package for Python developers and data scientists. Both solutions have automatic data aggregation and filtering capabilities, defaults are set based on dataviz guidelines.<\/span><\/p>\n In July 2022 we added a storytelling extension to ipyvizzu called <\/span>ipyvizzu-story<\/span><\/a> that enables users to build, present and share animated data stories in Jupyter and similar computational notebooks.<\/span><\/p>\n This sprint will focus on creating new sample stories, color schemes, e.g., dark and accessible themes, and documentation improvements. We work hard to make this a fun experience for all contributors.<\/span><\/p> Simon wrote most of the code used in our data viz engine and our Javascript library. He is a big believer in open-source with 15+ year of developer and software architecture experience under his belt.<\/span><\/p>\n Peter created most of the documentation for ipyvizzu and the JS library and built many examples and public stories with the Vizzu tools. He loves assisting people experimenting with our animated charting tools.\u00a0<\/span><\/p>\n [\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_separator color=”peacoc”][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=”0.1″ el_id=”matplotlib”][vc_column width=”3\/4″][vc_column_text]<\/p>\n December 1, Thursday 2PM – 7:00PM UTC Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible.<\/span><\/p>\n Communication Channel<\/span>: <\/b>https:\/\/gitter.im\/matplotlib\/matplotlib<\/span><\/a><\/p>\n Time and place<\/span>:<\/b> Please say hello on gitter first!\u00a0<\/span><\/p>\n Dec 1: <\/span>https:\/\/numfocus-org.zoom.us\/j\/87126200471?pwd=UmlLSldBRVhEa2NUQzE5dzZmWHVRdz09<\/span><\/a><\/p>\n Dec 2: <\/span>https:\/\/numfocus-org.zoom.us\/j\/87362906269?pwd=TW90MlpYdml2eVFvVWdjZktLcVl1Zz09<\/span><\/a><\/p>\n Dec 3: <\/span>https:\/\/numfocus-org.zoom.us\/j\/83714364966?pwd=dnRLK2ZjcWQ2SWpMQm0wK1c0b2pwUT09<\/span><\/a><\/p> Focus: <\/b>Matplotlib good first issues<\/span><\/a><\/p> Contributing to the matplotlib library:\u00a0<\/span><\/p>\n Contributing to matplotlib in other ways:<\/span><\/p>\n Name<\/b>: Thomas Caswell, github: tacaswell<\/span><\/p>\n Availability<\/b>: Dec 2 1100 – 1600 EST, Dec 3 0800-0000<\/span><\/p>\n Bio<\/b>: Matplotlib project lead.<\/span><\/p> Name: <\/b>Hannah AIzenman, github: story645, discord: story645<\/span><\/p>\n Availability: <\/b>TBD: Dec 1, Dec 2 before 2:00PM EST,\u00a0<\/span><\/p>\n Bio: <\/b>Matplotlib community manager and studying visualization at The Graduate Center, CUNY.<\/span><\/p> Name: <\/b>Gregor M\u00f6nke, github: tensionhead, discord: Whir#2652<\/span><\/p>\n Availability: <\/b>TBD: Dec 1, Dec 2, Dec 3 after 12:00PM CET,\u00a0<\/span><\/p>\n Bio: <\/b>Computational Scientist, working interdisciplinary (Biology) with tech beginners for many years. Now leading a Python neuroscience software project: syncopy.org<\/span><\/p> Name: <\/b>Chahak Mehta, github: chahak13<\/span><\/p>\n Availability: <\/b>Dec 1<\/span>, <\/b>before 4:00PM CST<\/span><\/p>\n Bio:<\/b> Graduate student studying Computational Science at University of Texas, Austin.<\/span><\/p> Name<\/b>: Oscar Gustafsson, github: oscargus<\/span><\/p>\n Availability<\/b>: Dec 3 1000-1800 CET<\/span><\/p>\n Bio<\/b>: Matplotlib developer, academic working in electrical and computer engineering<\/span>[\/vc_column_text][\/vc_column][vc_column width=”1\/4″][vc_empty_space][vc_empty_space][vc_column_text]Communication Channels<\/h4>\n
\n<\/strong>Every sprint will have its own channel on discord. Contributors should enroll in those discord channels to receive the list of issues to work on and have a space to discuss their progress with the maintainers.
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\n<\/strong>During the sprint, there will be a dedicated zoom call for that sprint which will be used for sprint introduction. Participants will be divided into breakout rooms where a maintainer will come over to support attendees when needed.
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\n<\/strong>It is crucial to read the documentation and environment set up instructions to have a productive sprint. If you\u2019re facing any issues in setting up your environment, please use slack to ask for support in setting up the environment before the sprint begins.<\/p>\n<\/div>\n<\/div>\nWhich Projects are Sprinting?<\/h4>\n
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[\/vc_column_text][\/vc_column][vc_column width=”3\/4″][vc_column_text]<\/p>\nTime and place<\/strong><\/span><\/h3>\n
About Vizzu & ipyvizzu<\/strong><\/span><\/span><\/h3>\n
Maintainers leading the sprint:<\/strong><\/span><\/h3>\n
Simon – <\/b>Github<\/b><\/a>, <\/b>LinkedIn<\/b><\/a><\/h3>\n
Peter – <\/b>Github<\/b><\/a>, <\/b>LinkedIn<\/b><\/a><\/h3>\n
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Important Links<\/strong><\/span><\/h3>\n
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When:<\/span><\/strong><\/h3>\n
\nDecember 2, Friday 3:00PM – 7:00PM UTC
\nDecember 3, Saturday: 1:00PM – 5:00PM UTC<\/p>\nAbout<\/strong><\/span>:\u00a0<\/b><\/h3>\n
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Important links:<\/span><\/strong><\/h3>\n
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Mentors:<\/b><\/span><\/h3>\n
![\"\"](\"https:\/\/pydata.org\/global2022\/wp-content\/uploads\/2022\/11\/matplotlib300x300-300x300.png\")
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