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DimML VS NumPy

Compare DimML VS NumPy and see what are their differences


The DimML programming language enables users to run any data solution on any website with only a single line of code.

NumPy is the fundamental package for scientific computing with Python
DimML Landing Page
DimML Landing Page
NumPy Landing Page
NumPy Landing Page

DimML details

Categories
Data Science And Machine Learning Data Dashboard Data Science Tools
Website dimml.io  
Pricing URL-
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Platforms
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Release Date-

NumPy details

Categories
Data Science And Machine Learning Data Dashboard Data Science Tools
Website numpy.org  
Pricing URL-
Details $-
Platforms
-
Release Date-

DimML videos

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NumPy videos

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity beta

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What are some alternatives?

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

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

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

OpenCV - OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer...

Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

Exploratory - Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.

htm.java - htm.java is a Hierarchical Temporal Memory implementation in Java, it provide a Java version of NuPIC that has a 1-to-1 correspondence to all systems, functionality and tests provided by Numenta's open source implementation.

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