Software Alternatives & Reviews

Scikit-learn VS D (Programming Language)

Compare Scikit-learn VS D (Programming Language) and see what are their differences

Scikit-learn logo Scikit-learn

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

D (Programming Language) logo D (Programming Language)

D is a language with C-like syntax and static typing.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • D (Programming Language) Landing page
    Landing page //
    2023-05-09

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

D (Programming Language) videos

D Language Tutorial

Category Popularity

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Data Science And Machine Learning
Programming Language
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Data Science Tools
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OOP
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User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Scikit-learn and D (Programming Language)

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

D (Programming Language) Reviews

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Social recommendations and mentions

Based on our record, D (Programming Language) should be more popular than Scikit-learn. It has been mentiond 54 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.

Scikit-learn mentions (27)

  • Link Prediction With node2vec in Physics Collaboration Network
    Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 11 months ago
  • WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point
    The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: 12 months ago
  • PSA: You don't need fancy stuff to do good work.
    Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: 12 months ago
  • Help on using R for Machine Learning?
    Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago
  • Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service
    This is not a book, but only an article. That is why it can't cover everything and assumes that you already have some base knowledge to get the most from reading it. It is essential that you are familiar with Python machine learning and understand how to train machine learning models using Numpy, Pandas, SciKit-Learn and Matplotlib Python libraries. Also, I assume that you are familiar with machine learning... - Source: dev.to / about 1 year ago
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D (Programming Language) mentions (54)

  • Berry is a ultra-lightweight dynamically typed embedded scripting language
    Show examples on the main web page. Try and find an AngelScript example. It's stupidly hard. Compare it to these web sites: https://dlang.org/ https://koka-lang.github.io/koka/doc/index.html https://vale.dev/ http://mu-script.org/ https://go.dev/ https://www.hylo-lang.org/ Sadly Rust fails this too but at least the Playground is only one click away. And Rust is mainstream anyway so it doesn't matter as much. I... - Source: Hacker News / 7 months ago
  • Small Joys with Odin
    >and D The D language, that is. https://dlang.org. - Source: Hacker News / 9 months ago
  • Red Programming Language
    You are both right it seems. GP seems to have omitted withour GC. Number one on your list could be Dlang no? Not affiliated. https://dlang.org/. - Source: Hacker News / 10 months ago
  • Is there a type-theoretical difference between generics and compile-time metaprogramming?
    Check out D. It has Turing-Complete templates with specialised static if, static foreach, version, and debug constructs, all as statements and declarations, as well as more general quasiquoting expressions and declarations with mixin (yes, that is the same as Ruby's, Python's or PHP's eval, but at compile-time; in fact you can import() files at compile-time too and write a compiler in user code that compiles... Source: 10 months ago
  • 'Switch' and 'Computed Goto'
    According to dlang.org, D declarations go right to left:. Source: about 1 year ago
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What are some alternatives?

When comparing Scikit-learn and D (Programming Language), 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.

C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation

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

Go Programming Language - Go, also called golang, is a programming language initially developed at Google in 2007 by Robert...

NumPy - NumPy is the fundamental package for scientific computing with Python

Nim (programming language) - The Nim programming language is a concise, fast programming language that compiles to C, C++ and JavaScript.