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Pandas VS Scikit-learn

Compare Pandas VS Scikit-learn and see what are their differences


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

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

Pandas details

Categories
Data Science And Machine Learning Data Dashboard Data Science Tools
Website pandas.pydata.org  

Scikit-learn details

Categories
Data Science And Machine Learning Data Dashboard Data Science Tools
Website scikit-learn.org  

Pandas videos

Ozzy Man Reviews: Pandas

More videos:

  • - Ozzy Man Reviews: PANDAS Part 2
  • - Trash Pandas Review with Sam Healey

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

Category Popularity

0-100% (relative to Pandas and Scikit-learn)
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58
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42%
42

Reviews

These are some of the external sources and on-site user reviews we've used to compare Pandas and Scikit-learn

Pandas Reviews

Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When it comes to ETL, you can do almost anything with Pandas if you're willing to put in the time. Plus, pandas is extraordinarily easy to run. You can set up a simple script to load data from a Postgre table, transform and clean that data, and then write that data to another Postgre table.
Source: www.xplenty.com

Scikit-learn Reviews

We have no reviews of Scikit-learn yet.
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Social recommendations and mentions

We have tracked the following product recommendations or mentions on Reddit and HackerNews. They can help you identify which product is more popular and what people think of it.

Pandas mentions

  • Top 10 Python Libraries
    Pandas is a machine learning library that offers high-level data structures and a wide variety of tools for data analysis. It provides essential data structures like series, data frames, and panels, which help manipulate data sets and time series. It also offers high-level abstraction and multiple methods for convenient data filtering. - Source: dev.to / 3 months ago
  • US presidents according to the word count of their wikipedia page [OC]
    Data from wikipedia scrapping, (date 2021-04-08) Make with python 3.6, with wikipedia, pandas and seaborn libraries. - Source: Reddit / 2 months ago
  • 5 Python Libraries You Need to Know
    NumPy is the fundamental package for scientific computing in Python and provides a solid foundation on top of which to build your numerical algorithms. Pandas provides powerful data structures and tools to make working with large datasets easier. It can load data in many formats including csv, json, html and others. - Source: dev.to / 2 months ago
  • Exploring data with Jupyter Notebook, Pandas and CrateDB
    In this post, I'll play a little bit with the NYC taxi dataset using Pandas and Matplotlib. This will be a simple example, but you can take it from here and explore further what you can do with these tools. - Source: dev.to / 3 months ago
  • Programming for Beginners
    As we can observe, imperative programming in Python specifies the computational steps to get the desired output, where the declarative style of SQL describes the output. Another thing to mention is that Python does support a (functional) declarative style of programming and SQL-like interface with the use of some modules such as Pandas. Python does even extend for other features of programming such as... - Source: dev.to / 2 months ago

Scikit-learn mentions

  • Best Websites Every Programmer Should Visit
    Scikit-learn : A Python module for machine learning build on top of SciPy. - Source: dev.to / 3 months ago
  • Top 10 Python Libraries
    Scikit-learn is a free and open-source software for data analysis and data mining tasks. It is also used to build machine learning models and works efficiently with complex data. Scikit-learn is built atop other Python libraries, and hence it is interoperable with most of the other Python libraries (NumPy, SciPy, Pandas, etc.). - Source: dev.to / 3 months ago
  • Something like The Odin Project but for Python and Machine Learning?
    I would recommend starting with scikit and some popular data set (e.g. titanic). - Source: Reddit / 2 months ago
  • Introduction to Machine Learning with Python and Repl.it
    The maths, specifically calculus and linear algebra, behind machine learning gets a bit hairy. We’ll be abstracting this away with the Python library scikit-learn, which makes it possible to do advanced machine learning in a few lines of Python. - Source: dev.to / about 2 months ago
  • What Makes Python Libraries So Important For Data Science Learning?
    Next comes the complexity of drawing the maximum possible number of valuable insights. Using different python libraries such as Scikit-Learn, PyTorch, Pandas, etc., complications of data analysis can be solved within a minute. And the complexity associated with visualisation gets handled by other data visualisation libraries like Matploitlib, PyTorch, etc. - Source: Reddit / 3 days ago

What are some alternatives?

When comparing Pandas and Scikit-learn, you can also consider the following products

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

WEKA - WEKA is a set of powerful data mining tools that run on Java.

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.

User reviews

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