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Cognos VS NumPy

Compare Cognos VS NumPy and see what are their differences

Cognos logo Cognos

Discover an all-inclusive BI solution for faster, more reliable data prep and reporting.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Cognos Landing page
    Landing page //
    2023-05-08
  • NumPy Landing page
    Landing page //
    2023-05-13

Cognos videos

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More videos:

  • Review - QUICK REVIEW!!!SMARTWATCH COGNOS Y1!RACUN!!!!
  • Review - COGNOS C24 Mirrorless REVIEW

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

Category Popularity

0-100% (relative to Cognos and NumPy)
Analytics
100 100%
0% 0
Data Science And Machine Learning
Business & Commerce
100 100%
0% 0
Data Science Tools
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 Cognos and NumPy

Cognos Reviews

15 Best ETL Tools in 2022 (A Complete Updated List)
It has a special feature of multilingual support using which it can create a global data integration platform. IBM Cognos Data Manager automates business processes and it supports Windows, UNIX, and Linux platforms.
16 Top Big Data Analytics Tools You Should Know About
IBM Cloud is a set of cloud computing services from IBM. It combines the Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). It offers over 190 cloud services. IBM’s popular AI cloud platforms are Watson Analytics and Cognos Analytics. IBM Watson delivers services such as machine learning, natural language processing (NLP), and visual recognition.

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

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.

Cognos mentions (0)

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

NumPy mentions (110)

  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 3 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 / 5 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
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What are some alternatives?

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

AFSAnalytics - AFSAnalytics.

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

StatCounter - StatCounter is a simple but powerful real-time web analytics service that helps you track, analyse and understand your visitors so you can make good decisions to become more successful online.

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

Histats - Start tracking your visitors in 1 minute!

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