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NumPy VS Ripple (XRP)

Compare NumPy VS Ripple (XRP) and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Ripple (XRP) logo Ripple (XRP)

Ripple is known as RTGS (real-time gross settlement system), exchange currency and a remittance network operated by the Ripple company.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Ripple (XRP) Landing page
    Landing page //
    2023-05-08

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

Ripple (XRP) videos

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Category Popularity

0-100% (relative to NumPy and Ripple (XRP))
Data Science And Machine Learning
Productivity
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Business & Commerce
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 Ripple (XRP)

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

Ripple (XRP) Reviews

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Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Ripple (XRP). While we know about 111 links to NumPy, we've tracked only 8 mentions of Ripple (XRP). 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 (111)

  • Documenting my pin collection with Segment Anything: Part 3
    NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 1 day ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 6 days ago
  • NumPy for Beginners: A Basic Guide to Get You Started
    This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 8 days ago
  • 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
View more

Ripple (XRP) mentions (8)

  • What is the function of some of the top Cryptos?
    Take XRP for an example, what has "constant problems with regulations" got to do with its function? You can find out its function here with a quick browse of the ripple website. Source: about 1 year ago
  • Here's why Ripple has a positive relationship with financial institutions.
    Suggest you read up and learn from https://ripple.com/xrp/ before posting. Source: almost 2 years ago
  • $20 cash from Bitstamp when you buy or sell $100 worth of crypto - Worldwide -
    The cheapest withdrawal fees on Bitstamp are XRP which is only 0.02 XRP to withdraw and XLM which is only 0.005 XLM. Source: almost 3 years ago
  • BankDhofar Launches Mobile Banking Payments from Oman to India with RippleNet
    "RippleNet customers can use XRP for sourcing liquidity in cross-border transactions, instead of pre-funding—ensuring instant settlement, lower exchange fees and more efficient use of working capital." https://ripple.com/xrp/. Source: about 3 years ago
  • $20 (£14.34) from Bitstamp when you buy or sell $100 (£71.70) of crypto
    Bitstamp’s withdrawal fees for crypto are high for some coins however XRP is only 0.2 XRP to withdraw. Source: about 3 years ago
View more

What are some alternatives?

When comparing NumPy and Ripple (XRP), 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.

Litecoin - Litecoin is a peer-to-peer Internet currency that enables instant payments to anyone in the world.

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

Bitcoin - Bitcoin is an innovative payment network and a new kind of money.

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

NEO (NEO) - NEO cryptocurrency is known as a smart generation economy currency in the global financial market.