PyViz retweeté
Did you know you can build interactive applications with @Panel_org to explore fractals?
Link to live app and code on @huggingface below.
#Python #dataviz #DataScience
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PyViz
107 posts
PyViz retweeté
In our latest blog post, we explore the landscape of Python web frameworks. Whether you're interested in data dashboards, interactive applications, or exploring ML interfaces, we compare popular frameworks like Streamlit, Dash, Flask, and more. ploomber.io/blog/survey-py…
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PyViz retweeté
New blog post about the revamped Xarray tutorial!
xarray.dev/blog/xarray-tu…
Many thanks to @NASA Open Source Tools, Frameworks, and Libraries program for funding this work!
See the tutorial material here: tutorial.xarray.dev/intro.html
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PyViz retweeté
hvPlot 0.10 has just been released! Check the release blog post that also goes over the main features released in version 0.9! #Python #dataviz #DataScience
blog.holoviz.org/posts/hvplot_r…
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PyViz retweeté
Our project family continues to grow 🪴🙌! We're excited to welcome @HoloViz_org, who has joined NumFOCUS as a sponsored project!
Learn more about the project here: numfocus.org/project/holoviz. #openscience #support #scientificcomputing #datascience
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@silvercorp See PyViz.org for lists of all tools and some overview/comparison articles that help you choose.
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Hola devs,
Duda, ¿que librerías de visualización usan en Python?
Necesito gráficos buenos, bonitos... baratos 🤣
me gustaría saber recomendaciones, gracias
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@silvercorp Yesi, depende mucho de lo que quieras hacer y el tiempo que le puedas dedicar.
Buenas opciones aparte de las que te han mencionado son #altair altair-viz.github.io y @HoloViz_org holoviz.org
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@maartenbreddels Nice! The PyViz.org/tools list of dozens of Python OSS dashboarding and web app tools now includes Reacton and Solara.
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Thank you! Not to be confused with Reacton (or Solara), which is about a React-like API on the Python side.
But together this enables easy usage of React on the Frontend and React like concept on the backend.
Benoît Bovy@benbovy
Impressive lightning talk yesterday at @JupyterCon by @maartenbreddels and @kolibril13 about ipyreact and anywidget. It is gonna be really helpful for quickly creating new interactive widgets in #jupyter in no time. Excited to try it out! github.com/widgetti/ipyre…
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PyViz retweeté
🎉 We’re thrilled to announce @AnacondaInc’s first ever #DataAppContest !!
The competition goes from June 13-30, so start building your team for the chance to win great prizes & showcase your skills!
Learn more & register here 👇
bit.ly/3VUzDxd
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PyViz retweeté
Why you should move from #pandas to @dask_dev and from @matplotlib to @PyViz_org #hvplot ? Because of this!!! done in 3sec:135Mln stars from #StarHorse and @ESAGaia (I 🥰#parquet)
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@hbriceo See #dashboarding" target="_blank" rel="nofollow noopener">pyviz.org/tools.html#das… for a list of *all* the Python dashboarding libraries, and please file an issue if anything is missing there!
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Alternatives to Streamlit for Building #Python Data Apps That You Can Use
While Streamlit is a great tool, it can fall short depending on your use case. The layout and styling of Streamlit apps is pretty rigid. If you're looking for an alternative, you have 4 here.
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@PradyuPrasad See pyviz.org for lists and overviews of *all* Python OSS data visualization tools. Matplotlib is the most well established, but there are a lot of other good choices!
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@agbajeabdulaze4 See pyviz.org for lists and comparisons of *all* Python data visualization libraries!
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Need to do data visualization with #Python? You have many choices:
📊 Matplotlib
🌊 Seaborn
🐍 Plotly
🌈 Bokeh
💤 Altair
⛳ HoloViews
DM for more
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@mohdatif1987 @matplotlib @HoloViz_org See pyviz.org for complete listings of Python OSS data-visualization tools, and open an issue or pull request if anything is missing!
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Data Visualization List:
@mohammad.atif1987/list/data-visualisation-dd58db901c1f" target="_blank" rel="nofollow noopener">medium.com/@mohammad.atif…
#matplotlib #seaborn #plotly #Panel
@matplotlib @HoloViz_org
6/n
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I am a great fan of the @Medium platform and know its subscriber for almost a year now. It's part of my daily routine to go through its daily recommendations every morning. Here is my collection of bookmarked articles maybe someone will find it useful, so sharing the links 1/n
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PyViz retweeté
Check out this new review of Python viz libraries for geographic applications, comparing Altair, @Bokeh, Cartopy, @Datashader, GeoPandas, Geoplot, GeoViews, hvPlot, and Plotly: gregorhd.github.io/geospatial-vis…
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@NilsNemitz @pyqtgraph @fcrameri See #colormapping" target="_blank" rel="nofollow noopener">pyviz.org/tools.html#col… for a list of all the major colormapping libraries for Python, and please submit a PR if we've missed any!
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@pyqtgraph
Look at the nice colors, we should check if we can integrate some of those, too!
That's the first time I have run into the Scientific Colour Maps project by @fcrameri (and friends). Very nice PR work and more memorable naming conventions than ColorCET :)
Ryotatsu Yanagimoto@yanagimotor
Just impressive to see all the colormaps available on Makie.jl docs.makie.org/stable/
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@gib_hurst Streamlit is cool, but Python offers lots of other options too, each with major advantages. See #dashboarding" target="_blank" rel="nofollow noopener">pyviz.org/tools.html#das… for the complete list.
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This HoloViz survey is relevant to all @datashader, @HoloViews , @Panel_org , hvPlot, GeoViews, Lumen, Param, and Colorcet users, plus @bokeh, @matplotlib, and @plotlygraphs users working via hvPlot or HoloViews. Make your voice heard!
HoloViz@HoloViz_org
Attention anyone interested in Python data visualization! HoloViz.org is trying to improve the user experience of our docs and websites. If you have ever tried out a HoloViz.org tool, please help by filling out our survey: docs.google.com/forms/d/e/1FAI…
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@ErinFischell @XavierMouy @Panel_org See PyViz.org for the complete and current list of Python data visualization tools; there is lots of great stuff out there!
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@XavierMouy @Panel_org I'm realizing that I have been stuck in the rut of "tools I learned 10 years ago in grad school" where plotting is concerned, so it is time to grit my teeth, put in the time, and expand my toolbox.
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How did no one tell me about plotly before!?! This is changing my life today.
#Datavisualization #Python #DataScience
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