Pandas
NumPy
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
Sheety
Sheet 2 Site
Sheetsu
SheetBest
Sheetson
Stein
Glide
Bubble.io
Pandas SheetyBased on our record, Pandas seems to be a lot more popular than Sheety. While we know about 201 links to Pandas, we've tracked only 11 mentions of Sheety. 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.
How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 5 days ago
Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 10 days ago
It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / about 1 month ago
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / about 2 months ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / about 2 months ago
Neat! This seems very similar to Sheety[0], which I've used a bunch of times before (and found a few bugs...). Do you have any plans to open source? [0]https://sheety.co. - Source: Hacker News / 2 months ago
You can just use retool alone or if you still want to use bubble maybe the easiest way would be to use https://sheety.co. Source: over 1 year ago
Well there’s https://sheety.co that provides an api to write to google sheets. You just need to set up the fetch mechanism on your web page. Source: over 1 year ago
Https://sheety.co/ I found this website, where I can have the API with the needed google sheet and with the API request/response, I am getting the required details. Source: over 1 year ago
Calling a 3rd party API: There is a complete ecosystem providing "google-sheets-as-DB". I personally tested and recommend https://sheetson.com/ but there are a lot more with free tiers https://sheetsu.com/ https://sheety.co/. Source: about 2 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Sheet 2 Site - Generate a website from 📗 Google Sheets
OpenCV - OpenCV is the world's biggest computer vision library
Sheetsu - Turn Google Spreadsheet into API
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
SheetBest - Turn a Google SpreadSheet into a JSON Database API
