airSlate SignNow Reviews

Plotly Reviews

airSlate SignNow mentions (7)

• Services like Docusign?

  If you need just that, then definitely signnow (signnow.com). Source: about 1 year ago

• E-Signature Software Recommendations

  Signnow.com might work but they are not a document editor, strictly speaking (BUT amazing good for placing fillable fields! sic!). Source: about 1 year ago

• Is this a scam? I do get changed set shifts for my job, but the emails don't usually look like this and none of my employers have this name.

  It's just that Brendan guy (someone from your work, I guess?) is using signnow.com as their e-signature and doc preparation solution (just check the domain/site manually, it is completely safe). Source: over 1 year ago

• Which tool do you use for document generation for the end-user

  If you only need to add several fillable fields and that's it -- I'd go either with signnow.com or with pdffiller.com (they look different but this is the same, US-based vendor). Source: over 1 year ago

• How to create a PDF with a cell row that can be typed information and saved?

  If you need people's signatures on those forms, I'd say signnow.com (they also have an integration with pdffiller because of the same vendor, and it's pretty neat!). Source: over 1 year ago

Plotly mentions (30)

• Essential Deep Learning Checklist: Best Practices Unveiled

  How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 22 days ago

• Python equivalent to power bi/power query?

  For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 7 months ago

• Junior Developer asked to make Saaas in first month.

  If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: about 1 year ago

• PSA: You don't need fancy stuff to do good work.

  Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago

• Wait, but I thought they were the same thing?

  I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: over 1 year ago