Based on our record, Shiny should be more popular than Zety. It has been mentiond 32 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.
What I learned is there is no sigle "Killer resume" because how the new recruitment process works. No human reviews our resumes, as most recruiter/companies use ATS bots to reject based on keywords. Tailor your resume for each job , use resume optimization tools like resumas.com or zety.com to customize your resume. Update your LinkedIn profile and make it visible to recruiters. Network actively on LinkedIn. I... Source: 8 months ago
What made you decide to use it?: I was going to apply for a lot of positions, so I took some time trying some apps such as myperfectresume.com, resume.io, zety.com , kickresume.com and Rezi.ai. Source: about 1 year ago
I used to use this https://zety.com/ - but a paid subscription. Source: over 1 year ago
1, I have good results with this https://zety.com/. Source: over 1 year ago
There are several online tools. I really liked zety.com which cost $2-$3 and requires you to cancel the service. Source: over 1 year ago
A lighterweight alternative to renv is to use Posit Public Package Manage (https://packagemanager.posit.co/) with a pinned date. That doesn't help if you're installing packages from a mix of places, but if you're only using CRAN packages it lets you get everything as of a fixed date. And of course on the web side you have shiny (https://shiny.posit.co), which now also comes in a python flavour. - Source: Hacker News / 4 months ago
Sometimes the war is lost even before the battle begins. During grad school, I wrote a whole bunch of web apps entirely in R using Shiny. It was clunky as hell, but yeah, it worked. I went looking for what's up with Shiny these days and found this - https://shiny.posit.co/ So yeah, full on pivot into python. Pip install shiny. Alright! "No web development skills required. Develop web apps entirely in R I mean... - Source: Hacker News / 11 months ago
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
We work along side bio-statisticians and data analysts, from my experience in this world I recommend to build some plots/graphs in R based on some information you find appealing. After you have some work to show off to potential employers , learn Shiny and publish those graphs online as your portfolio. Source: over 1 year ago
One of the most difficult yet most fun projects I’ve done. Using Shiny to make an app, all coded in R! Source: over 1 year ago
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