NumPy
Pandas
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
SyncWith for Google Sheets
Stein
Sheetson
Sheet 2 Site
Sheety
Butternut.tech
Google Workspace
Coefficient.io
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Based on our record, NumPy seems to be a lot more popular than SyncWith for Google Sheets. While we know about 108 links to NumPy, 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.
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 3 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 6 months ago
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 7 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
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the 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
