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NumPy VS Ingress

Compare NumPy VS Ingress and see what are their differences

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  2. » Videos
  3. » Reviews
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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Ingress logo Ingress

Winner of the Grand Prize at the 2015 Japanese Media Arts Festival Ingress transforms the real world into the landscape for a global game of mystery, intrigue, and competition. Our future is at stake.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Ingress Landing page
    Landing page //
    2021-09-13

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

Ingress videos

+ Add

How To Play Ingress For Pokémon GO Players! | Everything You NEED To Know Before You Start! (Pt. 1)

More videos:

  • Review - Ingression: Ingress Prime 101 - The Ultimate Starter Guide
  • Review - Ingress The Animation [WATCH or NOT]

Category Popularity

0-100% (relative to NumPy and Ingress)

NumPy

Ingress

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Text Editors
0 0%
Text Editors
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Enterprise Communication
0 0%
Enterprise Communication
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 Ingress

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

Ingress Reviews

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

Based on our record, NumPy seems to be more popular. It has been mentiond 109 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 (109)

  • 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 / about 16 hours 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
  • Introducing Flama for Robust Machine Learning APIs
    Numpy: A library for scientific computing in Python. - Source: dev.to / 6 months ago
View more

Ingress mentions (0)

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

What are some alternatives?

When comparing NumPy and Ingress, 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.

Pokémon GO - Pokémon GO was first introduced in 2016 and immediately became a cultural phenomenon. The game is designed to be played on mobile devices and is available for both the Android and iOS platforms.

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

Geocaching - Geocaching is the premier app for locating geocaches. This app is available for both the Android and iOS platforms, and it makes locating these popular hidden treasures easy and fun.

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

blippar - Blippar is a revolutionary new image recognition platform that lets you capture a real life image and watch it come to life on your mobile device. Just find images with the blipp logo and unlock a new level of interactivity.

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