CodeShare.io Reviews

nbviewer.org Reviews

CodeShare.io mentions (29)

• I never thought I would say this but I understand why a lot of companies do LC type questions during the process.

  As for LeetCode-like problems, I used to use codeshare.io and ask junior to mid front-end devs to take a fixed width/height box class/element and center it in an HTML div tag any way they know how to. Source: about 1 year ago

• Building a Live Code Sharing Platform With Dyte and React

  Codeshare.io is one such example. But today, we're going to roll up our sleeves and build our very own code sharing playground using Dyte.io. - Source: dev.to / about 1 year ago

• Pinescript code - need help!

  It's my bed time now but I'd be glad to help if you're still having problems with this, I'll be online around 9 AM to 12 AM CST and we can work through it. Hit me up with some clean formatted code, try codeshare.io. Source: over 1 year ago

• Best Websites For Coders

  Code share : Share code in real-time with other developers. - Source: dev.to / over 1 year ago

• [coding] tf.strings.operations raises TypeError: Value passed to parameter 'input' has DataType string not in list of allowed

  Could you format your code better? It's quite hard to read. You can also use: https://codeshare.io/ to share your code. It's a lot easier than having to format your code inside a reddit post. Source: over 1 year ago

nbviewer.org mentions (13)

• Jupyter kernel for Logtalk

  Example notebooks are included in the repo and can be previewed using nbviewer:. Source: over 1 year ago

• Is there a CodePen/OverLeaf equivalent for sharing and viewing Jupyter Notebooks/Labs

  Nbviewer (https://nbviewer.org/): very easy to use for smaller jupyter notebook that does not require heavy rendering. Source: over 1 year ago

• Collaborative Jupyter Whiteboards

  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

• First data science project (visualization): What should I improve on?

  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

• Can someone please review my data visualisation notebook?

  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