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Shake Pay VS NumPy

Compare Shake Pay VS NumPy and see what are their differences

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All-in-one crypto finance platform for companies that run on stablecoins. Invoicing, payouts, treasury, budgets and AML โ€” the whole money path in one non-custodial system. No banking friction, no spreadsheet reconciliation. featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Shake Pay logo Shake Pay

Mobile bitcoin debit card

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Shake Pay Landing page
    Landing page //
    2023-04-12
  • NumPy Landing page
    Landing page //
    2023-05-13

Shake Pay features and specs

  • User-Friendly Interface
    Shakepay offers a simple and intuitive interface that makes it easy for beginners to buy, sell, and manage cryptocurrency.
  • Instant Verification
    The platform provides quick account verification, allowing users to start trading almost immediately.
  • Free E-Transfers
    Shakepay allows free Interac e-Transfers for depositing and withdrawing funds, which is convenient for Canadian users.
  • Referral Program
    Users can earn Bitcoin by inviting friends to join Shakepay through their referral program.
  • Instant Buy/Sell
    Shakepay offers the ability to quickly buy and sell Bitcoin and Ethereum, appealing to users who want to trade efficiently.

Possible disadvantages of Shake Pay

  • Limited Cryptocurrency Options
    Shakepay currently supports only Bitcoin and Ethereum, which may not cater to users looking for a wider selection of cryptocurrencies.
  • Canadian Users Only
    The platform is available exclusively to residents of Canada, limiting its accessibility to a wider audience.
  • No Advanced Trading Features
    Shakepay lacks advanced trading features like order books and limit orders, which might not satisfy experienced traders.
  • Lack of Transparency
    Some users have noted a lack of clarity regarding Shakepay's fees and how the exchange rates are determined.
  • No Interest Products
    Unlike some other platforms, Shakepay does not offer interest-earning accounts for holding cryptocurrencies.

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

Shake Pay videos

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NumPy videos

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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

Category Popularity

0-100% (relative to Shake Pay and NumPy)

Shake Pay

NumPy

Cryptocurrencies
100 100%
Cryptocurrencies
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Finance
100 100%
Finance
0% 0
Data Science Tools
0 0%
Data Science Tools
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 Shake Pay and NumPy

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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.
Source: www.analyticsvidhya.com
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

Social recommendations and mentions

Based on our record, NumPy should be more popular than Shake Pay. It has been mentiond 122 times since March 2021. 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.

Shake Pay mentions (32)

  • Ask HN: What are some cool or underrated tech companies based in Canada?
    Https://shakepay.com/ - Nice easy to use crypto Fintech. - Source: Hacker News / about 1 year ago
  • Ask HN: Who is hiring? (February 2025)
    Shakepay | Senior/Staff Full Stack, Senior/Staff Platform DX | Full-time | Canada (remote) | https://shakepay.com/ Hey folks, I am a long-time lurker and a first-time poster (in this thread). I'm Michael - Head of Engineering at Shakepay, a FinTech located in Canada (with offices in Montreal and Toronto). We're looking to hire senior/staff folks to help us build and launch new financial products at the... - Source: Hacker News / over 1 year ago
  • How to buy in Canada
    A lot of people use https://shakepay.com/ or https://www.bullbitcoin.com/ in Canada. Source: over 2 years ago
  • Shakepaytrade?
    Please only use our official link if you're looking to use our platform: https://shakepay.com/. Source: over 3 years ago
  • Lost access to my account because I changed email addresses
    Just as an FYI, you can always contact our support team without being logged in by going to our website (shakepay.com) and clicking the blue chat bubble in the bottom right hand corner. Source: over 3 years ago
View more

NumPy mentions (122)

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What are some alternatives?

When comparing Shake Pay and NumPy, you can also consider the following products

1inch - A userโ€‘friendly wallet as an entry point to DeFi

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

PayTrie - PayTrie is a Canadian cryptocurrency exchange platform that is built from the ground up to provide its users with a quality, safe, secure, and easy-to-use cryptocurrency trading platform.

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

Newton.co - Newton.co is a cryptocurrency brokerage that lets you buy and sell digital assets through Canadaโ€™s most reliable and secure platform.

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

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