seaborn
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seaborn | Svelte | |
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76 | 632 | |
11,946 | 76,402 | |
- | 1.1% | |
8.5 | 9.9 | |
9 days ago | 5 days ago | |
Python | JavaScript | |
BSD 3-clause "New" or "Revised" License | MIT License |
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seaborn
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Apache Superset
If you are doing data analysis I don't think any of the 3 pieces of software you mentioned are going to be that helpful.
I see these products as tools for data visualization and reporting i.e. presenting prepared datasets to users in a visually appealing way. They aren't as well suited for serious analytics.
I can't comment on Superset or Tableau but I am familiar with Power BI (it has been rolled out across my org), the type of statistics you can do with it are fairly rudimentary. If you need to do any thing beyond summarizing (counts, averages, min, max etc). It is not particularly easy.
For data analysis I use SAS or R. This software allows you do things like multivariate regression, timeseries forecasting, PCA, Cluster analysis etc. There is also plotting capability.
Both these products are kind of old school, I've been using them since early 2000's, the "new school" seems to be Python. Pretty much all the recent data science people in my organization use Python. Particularly Pandas and libraries like Seaborn (https://seaborn.pydata.org/).
The "power" users of Power BI in my organization tend to be finance/HR people for use cases like drill down into cost figures or Interactively presenting KPI's and other headline figures to management things like that.
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Seaborn bug responsible for finding of declining disruptiveness in science
It's referring to the seaborn library (https://seaborn.pydata.org/), a Python library for data visualization (built on top of matplotlib).
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Why Pandas feels clunky when coming from R
While it’s not perfect and it’s not ggplot2, Seaborn is definitely a big improvement over bare matplotlib. You can still use matplotlib to modify the plots it spits out if you want to but the defaults are pretty good most of the time.
https://seaborn.pydata.org/
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Releasing The Force Of Machine Learning: A Novice’s Guide 😃
Seaborn: A statistical data visualization library based on Matplotlib, enhancing the aesthetics and visual appeal of statistical graphics.
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Seven Python Projects to Elevate Your Coding Skills
Matplotlib Seaborn Example data sets
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Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
Seaborn - Statistical data visualization using Matplotlib.
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Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/mwaskom/seaborn
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Best Portfolio Projects for Data Science
Seaborn Documentation
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[OC] Nationwide Public Transit Ridership is down 30% from pre-lockdown levels; San Francisco's BART ridership is down almost 70%
You've done a great job presenting this. Maybe you already know, but seaborne is an extension of matplotlib that makes it pretty easy to "beautify" matplotlib charts
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Introducing seaborn-polars, a package allowing to use Polars DataFrames and LazyFrames with Seaborn
I'm sure that your package is great, but seaborn will soon support the interchange protocol and will work relatively seamlessly with polars. https://github.com/mwaskom/seaborn/pull/3340
Svelte
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How to optimise React Apps?
React has introduced measures like batching state updates, background concurrent rendering and memoization to tackle this. My opinion is that the best way to solve the problem is by improving their reactivity model. The app needs to be able to track the code that should be re-run on updating a given state variable and specifically update the UI corresponding to this update. Tools like solid.js and svelte work in this manner. It also eliminates the need for a virtual DOM and diffing.
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Episode 24/13: Native Signals, Details on Angular/Wiz, Alan Agius on the Angular CLI
Similarly to Promises/A+, this effort focuses on aligning the JavaScript ecosystem. If this alignment is successful, then a standard could emerge, based on that experience. Several framework authors are collaborating here on a common model which could back their reactivity core. The current draft is based on design input from the authors/maintainers of Angular, Bubble, Ember, FAST, MobX, Preact, Qwik, RxJS, Solid, Starbeam, Svelte, Vue, Wiz, and more…
- Rich Harris: Svelte parses HTML all wrong
- Mario meets Pareto: multi-objective optimization of Mario Kart builds
- Svelte parses HTML all wrong
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Svelte for Beginners: Easy Guide
Svelte is a powerful web framework that offers a fresh approach to building web applications. Its simplicity, reactivity model, and built-in features make it an excellent choice for developers looking to create efficient and maintainable applications. By following this guide, you should now have a good understanding of how to get started with Svelte and build your first components, routes, and transitions. You can read more about svelte on the official Svelte website.
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Trying to use dotnet watch with Svelte
Use .NET features (especially dotnet watch) as a setup for a client-side Svelte application, starting from a simple C# console app.
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Why I keep an eye on the Vue ecosystem and you should too
Volar originally was Vue3's language support tool for VScode (I don't know about other editors). By today, volar has become a language indipendent framework to create language tools. It might still be a bit early for the dev with skill issues like me to use it and build some tools, but astro and svelte already use Volar to create their language tools.
- Svelte Tenets by Rich Harris
What are some alternatives?
bokeh - Interactive Data Visualization in the browser, from Python
Alpine.js - A rugged, minimal framework for composing JavaScript behavior in your markup.
Altair - Declarative statistical visualization library for Python
lit - Lit is a simple library for building fast, lightweight web components.
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
solid - A declarative, efficient, and flexible JavaScript library for building user interfaces. [Moved to: https://github.com/solidui/solid]
ggplot - ggplot port for python
qwik - Instant-loading web apps, without effort
plotnine - A Grammar of Graphics for Python
awesome-blazor - Resources for Blazor, a .NET web framework using C#/Razor and HTML that runs in the browser with WebAssembly.
matplotlib - matplotlib: plotting with Python
Next.js - The React Framework