Based on our record, WolframAlpha seems to be a lot more popular than Pingo. While we know about 43 links to WolframAlpha, we've tracked only 2 mentions of Pingo. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Now, if you're doing it for real, the best and also most common method is simply, "use a computer". Many computer systems are really, really good at solving these equations and inequalities. You can also graph it and see on the graph every time it crosses zero. You can even do it for free without fancy software. There are a lot of web calculators that can do it, but one options is using wolframalpha.com. Source: 5 months ago
This is how the functionality of scientific calculators and tools like MATLAB and WolframAlpha is implemented. Source: 6 months ago
Go to wolframalpha.com, and ask it to evaluate. Source: 11 months ago
Do not go for a "one-use" calculator... Go for something that does it all if you know what you're doing. Go to wolframalpha.com. Source: 11 months ago
Some context: - Each "Card" you see is a reference to a block inside a big page called "Remarkable distributions". That page also contains more details (proofs, notable properties, ...) about each distribution. - The plots are generated using wolframalpha.com. I can just type "normal distribution" and I get a nice plot with different variations of the distribution's parameters. Source: 12 months ago
I've tried a few, the best one was pingo (https://css-ig.net/pingo). Pingo -s9 gives better results than oxipng with Zopfli, while being usually two order of magnitudes faster. It's also faster than "regular" oxipng while being better. I can usually shave of 15%/20% of the size of png files I encounter. One thing I didn't check is that you might pay that in decoding time, I've never seen anybody talking about that... - Source: Hacker News / almost 2 years ago
Pinga, GUI for Pingo (https://css-ig.net/pingo) for lossless photo compression while keeping the metadata. Source: almost 3 years ago
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