Matplotlib
@matplotlib
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Python library for creating static, animated, & interactive visualizations. Chat w/ us @ https://t.co/QDNR5Khj9w Sponsored by @NumFocus
Joined March 2017
Hey folks, if you're following other projects on other sites, you can also find us at: * https://t.co/3PcMRWgWBm * https://t.co/jNO42u73J7 *
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⚙️ Call for Workshops at IEEE VIS 2026! Have an idea worth exploring with the VIS community? Create an informal, open setting for discussion, collaboration, and innovation – propose a Workshop! 🗓 Deadline: Feb 26 🔗
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a dedicated tweets to all coding folks that hv been dealing with spatial data visualization using @matplotlib USE THIS TO ADD THE FRICKING NORTH ARROW TO YOUR PLOT!!! having your charts to has a sense of direction is always good for your audience!!! https://t.co/enGIeQB6Qv
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You can add your own internal documentation or documentation of other great projects like @matplotlib, @pandas_dev, @DataPolars or @duckdb 🔗 https://t.co/lcgLZKjsJ3
🔍 Exploring HoloViz docs just got supercharged holoviz-mcp brings indexing + RAG to your AI, letting you search across @HoloViz_org docs, notebooks & examples with real context — not just keywords. Try the Search Tool UI 👉 https://t.co/sQq1JfPqCA
#dataviz
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They handle very necessary work around the work (admin, legal, etc), which frees maintainers to focus more on code.
When we say “Maxed-Out Gratitude,” we mean our community. Without you, there’s no Stack to Max. Thank you for making NumFOCUS more than just code — you make it people-powered. Ready to keep that momentum going? Donate today and help us Max the Stack at https://t.co/uqLZAyViiR
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Today in my #MachineLearning course, we’re diving into artificial neural networks! 🧠 I’ve recently updated my course materials to cover all the nuts and bolts — from forward propagation through the network to backpropagating the error derivatives for updating weights and
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I recently taught tree-based gradient boosting in my #MachineLearning course, and I could tell some students did not fully understand how it works. So last night, I built an interactive #Python @matplotlib dashboard to bring it to life! You can train a gradient boosting model
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Yes, I teach and research in #MachineLearning — but do you know my first love? 💚 #Geostatistics! I’ve always been fascinated by spatial phenomena — making maps, exploring patterns, and uncovering how relationships evolve across space. 🌍✨ To help my students experience the
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1/7 🚀 LaNet-vi is back — now in Python (@ThePSF)! A fast, open tool to visualize large networks (e.g., the AS-level Internet). Thead below🧵👇
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The newest chapter of Think Linear Algebra up now! It is about least squares regression, QR decomposition, and orthogonality: https://t.co/V5sarzF1tr
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Cool blending of us w/ @FFmpeg!
Toasting cashew nuts, quantified. https://t.co/HdWzxGfooQ
#matplotlib #ffmpeg #python #dataengineering #iot #esp32
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Here are a few Spirograph (hypotrochoid) demos made with #matplotlib. The pattern depends on the two radii and where exactly the pen is placed on the small circle.
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Simulating rainbows of different orders in #Python with #NumPy and #Matplotlib: https://t.co/OfvpBcDz2A
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I found the final boss of evil colormaps. It maps to an arbitrary(!?) pattern in greyscale. If you see a colormap like this during paper review, ask to change to one of the sequential colormaps of #matplotlib instead!
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Pretty!
The Bak-Sneppen model: species in a circle, each with random fitness. Replace the weakest species (and its neighbors) with new random values. Cascading evolutionary avalanches emerge, showing self-organized criticality from simple rules. Made with #python #numpy #matplotlib
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🚀 Today’s Project: Protein Function EDA using CAFA 6 Dataset! 🧬📊 💥Explored biological processes, ontology terms, and protein relationships through beautiful Python visualizations using #Seaborn & #Matplotlib 💡 🧠 Data meets Biology. 👇 Comment “Link” to explore! #Ai #EDA
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The iterates of the logistic map converging to Feigenbaum's universal function. Made with #python #numpy #matplotlib
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On Monday’s lecture, I introduced Bayesian linear regression and explained MCMC using the Metropolis-Hastings algorithm to sample from the posterior… but I could tell it wasn’t fully landing with the students 😕. So yesterday, I built an interactive dashboard in #Python using
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Shape priorities and direct the future of DVS by joining the Board of Directors as our Programs Director. Hone your leadership skills and contribute to a highly engaged community of data viz enthusiasts. Apply by October 21: https://t.co/Y7uqnhge8J.
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