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Based on our record, Pandas seems to be a lot more popular than SyncWith for Google Sheets. While we know about 200 links to Pandas, we've tracked only 2 mentions of SyncWith for Google Sheets. 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.
Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 7 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
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 4 months ago
The Sort API allows us to look at individual blockchain transactions, or even perform millisecond aggregations (average, sum, etc, useful for charting). We'll focus on the individual transactions, and to simplify the tutorial, we'll use a Google Sheets plugin called SyncWith, useful for sending API calls and storing the result in a Google Sheet. - Source: dev.to / about 2 years ago
Thanks to B.'s helpful suggestions, we started experimenting with Google Sheets, which DO the job if we use a wonderful Add-On called SyncWith that allows API importing. And -- this spreadsheet can be updated once a day even for free users. Source: over 2 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Stein - Use Google Sheets as your no-setup database
OpenCV - OpenCV is the world's biggest computer vision library
Sheetson - Instantly turn any Google Sheet into RESTful API
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Sheet 2 Site - Generate a website from 📗 Google Sheets