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Based on our record, Pandas seems to be a lot more popular than Google Sheets + MonkeyLearn. While we know about 199 links to Pandas, we've tracked only 1 mention of Google Sheets + MonkeyLearn. 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.
MonkeyLearn: MonkeyLearn is a powerful AI tool that automates text tagging in Google Sheets, eliminating manual and repetitive tasks. It is 100 times faster than human processing, significantly saving time, and 50 times more cost-effective. With MonkeyLearn, users can ensure consistent tagging criteria without errors, enabling efficient analysis of spreadsheets and faster insights from data. It offers direct... Source: 12 months 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 / 7 days 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 / 25 days 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 / 19 days 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 / 3 months ago
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 5 months ago
Flookup - Fuzzy lookup, highlight and remove duplicates from your datasets
NumPy - NumPy is the fundamental package for scientific computing with Python
Textalytic - Free point & click text analysis in the browser
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Causal for Google Sheets - Simulate 100s of scenarios without leaving your spreadsheet
OpenCV - OpenCV is the world's biggest computer vision library