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NumPy VS Coefficient.io

Compare NumPy VS Coefficient.io and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Coefficient.io logo Coefficient.io

Automatically Sync Google Sheets with your Business Systems. No-code reporting and analysis tool.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Coefficient.io Landing page
    Landing page //
    2023-10-10

Coefficient is a sidebar app for Google Sheets. Coefficient connects to any data source, imports live data into Google Sheets, automates spreadsheet workflows, and exports data into your business systems.

NumPy videos

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Coefficient.io videos

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Category Popularity

0-100% (relative to NumPy and Coefficient.io)
Data Science And Machine Learning
Productivity
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Analytics
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare NumPy and Coefficient.io

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Coefficient.io Reviews

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Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Coefficient.io. While we know about 108 links to NumPy, we've tracked only 4 mentions of Coefficient.io. 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.

NumPy mentions (108)

  • 2 Minutes to JupyterLab Notebook on Docker Desktop
    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
  • Element-wise vs Matrix vs Dot multiplication
    In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
  • JSON in data science projects: tips & tricks
    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
  • Introducing Flama for Robust Machine Learning APIs
    Numpy: A library for scientific computing in Python. - Source: dev.to / 6 months ago
  • A Comprehensive Guide to NumPy Arrays
    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
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Coefficient.io mentions (4)

  • Google sheets
    I do this all the time. The problem at first was I didn’t have access to real-time data from my sources. https://coefficient.io/ has a bunch of Google Sheets connectors you can use for free. Since then I never have to update my dashboards, I just send them out. It’s great. Source: almost 2 years ago
  • Ask HN: Who is hiring? (June 2022)
    Coefficient (https://coefficient.io) | Multiple Roles | Fully Remote | Full time | VC-Backed startup Coefficient is a fully remote, seed-stage SaaS startup based in the SF Bay Area. Started by repeat founders with successful past exits, Coefficient has raised $6.7M from Foundation Capital, S28 Capital, and prominent angel investors such as Eric Yuan, Zoom founder/CEO. Coefficient enables users to create custom... - Source: Hacker News / about 2 years ago
  • Ask HN: Who is hiring? (March 2022)
    Coefficient | Multiple Roles | Fully Remote | Full time | VC-Backed startup | https://coefficient.io. - Source: Hacker News / over 2 years ago
  • How to auto fill formula rows?
    Coefficient does that. You can schedule data refreshes, and every time the data updates, it automatically pulls down the formulas for each new row. Source: over 2 years ago

What are some alternatives?

When comparing NumPy and Coefficient.io, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Grist - Grist makes it easy to transform spreadsheets into a custom database where data is truly actionable.

OpenCV - OpenCV is the world's biggest computer vision library

Airtable - Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Stein - Use Google Sheets as your no-setup database