Standard Resume is the easiest way to make a modern resume that hiring managers and recruiters will love. Import your LinkedIn profile in seconds and share your resume as a PDF or responsive website.
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Based on our record, nbviewer.org should be more popular than Standard Resume Pro. It has been mentiond 13 times since March 2021. 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.
This is something that I use - https://standardresume.co (TBH haven’t used in a few years but its pretty much perfect. Has clean design, to the point, easily parseable and looks presentable. It is paid but has a free web based offering (you can’t download, but share a link to you resume. Source: 6 months ago
But in all seriousness, I personally use http://standardresume.co and based the structure of mine on their examples. Source: about 1 year ago
Http://standardresume.co is amazing - it’s geared towards software engineers and the CVs look great. Source: over 1 year ago
The designers at https://standardresume.co have outdone themselves the last year, and I use it personally. The flow of updating it over the course of years is easier than updating my own designs in illustrator or wherever. Source: almost 2 years ago
You can enter your data into standardresume.co and it will create a resume for you. It can also automatically import your data from LinkedIn and create a resume from that. Source: almost 3 years ago
Example notebooks are included in the repo and can be previewed using nbviewer:. Source: over 1 year ago
Nbviewer (https://nbviewer.org/): very easy to use for smaller jupyter notebook that does not require heavy rendering. Source: over 1 year ago
Nbconvert renders everything exactly as it looks in your notebook app into a read-only HTML version and is what GitHub uses for notebooks. Interactive plots from Bokeh, Holoviews, etc can still work if you trust the JS, and since editing notebooks while showing them during a meeting usually doesn't go well, read-only is probably good enough (eager to hear feedback on this point though). The nice thing is that... Source: over 1 year ago
Just as a heads up, I used plotly to generate a lot of the charts, so you'll need to view it from an nbviewer like nbviewer.org. Source: about 2 years ago
I used a lot of plotly not knowing that Github wouldn't show it, so you'll need notebook viewer like nbviewer.org to see some of the charts. Source: about 2 years ago
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