While it is possible to work Streamlit in Jupyter notebooks, we use primarily with Python files. If your favourite data

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shop owner, first started shipping early on in the pandemic, she offered it for free, but after a few weeks of losing money on the deal she began tacking on a $5 fee for local deliveries and $10 for all others. “We had a surge of orders from people who wanted to beat the shipping charges, and then we had a big dip when the fees kicked in,” she says. “I’d say we’re losing about a quarter or third of our customers because of the fees.” And that’s in spite of the fact that her fees don’t cover her own shipping costs. To try to recapture some of those customers, Tang is experimenting with dropping the fees on larger orders, while raising item prices to recover some of the costs.

Although Dash empowers users to build and deploy web applications without full-stack and DevOps tools in hours, it has the steepest learning curve of all the options in this article.

Voilà is primarily a native Jupyter rendering tool. However, you can create interactive reports with widgets in Jupyter notebook using Ipywidgets. You can also use Viola to render any content on Notebooks into Dashboards.

Since his loss to Joe Biden has only been solidified in his fruitless efforts to overturn the results of the election in his favor, it should come as a surprise to no one that Donald Trump has already begun to float the possibility of not just a media network, but another run in 2024. With Donald Trump signaling that he would leave the White House, but refusing to formally concede, it seems all but guaranteed that his intentions are indeed to run again, with some outlets reporting that he could announce a run before the end of this year. With the looming possibility of not only another four years of Trump in the near future, but four years of campaigning to get there, it seems important to discuss what that would mean not only for Republicans, but Democrats as well.

Viola and Panel serve primarily for Jupyter Notebook users, and you can combine them with any plotting libraries of your choice. Finally, use Plotly Dash for more advanced and production level dashboards.

As for the Democratic party, the idea of having to consider what they and their loyal voters will be like under four years of Trump campaigning against Joe Biden and Kamala Harris is almost unbearable to think about.

Deploying and sharing your web applications and dashboards in Panel is easy. You can display your dashboards inside Jupyter Notebooks, render it as Ipywidgets, run it from the command line, or deploy it using popular tools like Heroku, MyBinder or even other cloud platforms.

Arguably ever since Donald Trump took the lead in the Republican party in 2015, any dissent or aired legitimate grievances against the Democratic Party have been shut down and silenced by liberals with the all too familiar chorus of “are you trying to help Trump get elected?”, or “can’t this wait? it’s only helping Donald Trump”. Now with the nightmare of four years of Trump in the White House and possibly another four years of paranoia that he would be able to get to that position again, the left won’t be able to make a peep without liberals ignoring their critiques or responding in anger quicker than ever before. For Joe Biden’s team, the threat of another four years of Trump as the ultimate cushion might very well be the ultimate dream come true. With any objections to his actions being silenced for the entirety of his term by liberals claiming with more earnest than ever before that it only helps Trump, he would probably be right to assume there is little he wouldn’t be able to get away with.

Viola and Panel serve primarily for Jupyter Notebook users, and you can combine them with any plotting libraries of your choice. Finally, use Plotly Dash for more advanced and production level dashboards.

That is also changing with the introduction of Plotly Express — easy to use and high-level API for creating figures with Plotly Libary. I find the Plotly Express library one of my favourite data visualisation tools in Python.

Naturally, as if it wasn’t at all likely to begin with, another Trump run should make it clear to Joe Biden and the Democratic party that the Republican party certainly is not going to “see the light” and change course any time soon. Considering no one has harnessed and exploited the frustrations and anger of the right wing base more effectively than Trump in decades, it feels safe to assume that no other Republican lawmaker is going to dare cross him after 93% of their base voted for him. While some might characterize it as a sort of hostage situation in which the lawmakers are powerless to stand against him, I would tend to disagree. Rather, much like Trump has exploited the anger and frustration of the base, he has all too easily simply exploited the craven desire for politicians to stay in power. The longer we pretend as if there’s any chance the majority of his fellow politicians care about anything else, the better.

The choice of your dashboard tool depends on your project needs. Streamlit is for creating quick and versatile dashboard apps with an easy learning curve and less code. I find Streamlit the easiest and the best tool out there to create data visualisation web apps.

Plotly Dash focuses on production and enterprise dashboard creation but also offers free and open-source options in Python, R and Julia. It is the most mature option on this list.

You love your friends and family. Really, you do. But if your gadget choice allowed a soulless megacorporation to siphon up their personal data to feed its ever-churning grist mill of profit, maybe you’d be okay with that. Or perhaps you’d enjoy the option of remotely flying a surveillance drone around their home — or activating the camera on their smart assistant by “dropping in” without their immediate consent.

Quick Jupyter notebook deployment into dashboards is the strong side of Viola but also its downside. You can make coherent Dashboards with Voilà, but that needs you to format your experiments and code in Jupyter notebooks accordingly or suppress and hide unused code and markdowns.