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NumPy VS CloudQuant

Compare NumPy VS CloudQuant and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

CloudQuant logo CloudQuant

Crowd based algorithmic trading development and backtesing for stock market trading.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • CloudQuant Landing page
    Landing page //
    2021-08-01

NumPy videos

+ Add

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

CloudQuant videos

+ Add

Advanced 1 - CloudQuant presentation for the University of Chicago Financial Program

More videos:

  • Review - SMB Quant (002): “Democratization of Trading” with Paul Tunney from CloudQuant

Category Popularity

0-100% (relative to NumPy and CloudQuant)

NumPy

CloudQuant

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Finance
0 0%
Finance
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Development
0 0%
Development
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 CloudQuant

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

CloudQuant Reviews

We have no reviews of CloudQuant yet.
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Social recommendations and mentions

Based on our record, NumPy seems to be more popular. It has been mentiond 110 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.

NumPy mentions (110)

  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 1 day 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 / 3 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
  • 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
View more

CloudQuant mentions (0)

We have not tracked any mentions of CloudQuant yet. Tracking of CloudQuant recommendations started around Mar 2021.

What are some alternatives?

When comparing NumPy and CloudQuant, 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.

QuantConnect - QuantConnect provides a free algorithm backtesting tool and financial data so engineers can design algorithmic trading strategies. We are democratizing algorithm trading technology to empower investors.

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

quantra - A public API for quantitative finance made with Quantlib

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

Quantreex - An automated trading platform that you let you create trading strategies intuitively.

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