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NumPy VS Percona

Compare NumPy VS Percona 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

Percona logo Percona

Percona delivers software, support, consulting and managed services for both MySQL and MongoDB across traditional and cloud-based platforms.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Percona Landing page
    Landing page //
    2023-05-11

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

Percona videos

+ Add

2021-08-24 - Platform Team: 16 - Sprint Review - Percona Monitoring Tool overview

More videos:

  • Review - 2021-09-21 - Platform Team: 18 - Sprint Review - Percona Monitoring Tool Overview
  • Review - 2021-10-05 - Platform Team: 19 - Sprint Review - Percona Monitoring Tool Overview

Category Popularity

0-100% (relative to NumPy and Percona)

NumPy

Percona

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Databases
0 0%
Databases
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Relational Databases
0 0%
Relational Databases
100% 100

User comments

Share your experience with using NumPy and Percona. For example, how are they different and which one is better?
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Reviews

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

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

Percona Reviews

10 Best Database Management Software Of 2022 [+ Examples]
Percona says that it “provides and supports 100% free and open-source enterprise-ready platforms.” However, you can purchase support and service for MySQL, MongoDB, MariaDB, or PostgreSQL. Support plans range between $400 and $1500.
Source: theqalead.com

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 / about 2 hours 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 / 2 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

Percona mentions (0)

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

What are some alternatives?

When comparing NumPy and Percona, 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.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

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

MariaDB - An enhanced, drop-in replacement for MySQL

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

MySQL - The world's most popular open source database

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