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Pandas VS Exploratory

Compare Pandas VS Exploratory 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.

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

Pandas details

Data Science And Machine Learning Data Dashboard Data Science Tools

Exploratory details

Data Science And Machine Learning Data Dashboard Data Science Tools

Pandas videos

Ozzy Man Reviews: Pandas

More videos:

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

Exploratory videos

1.3 Exploratory, Descriptive and Explanatory Nature Of Research

More videos:

  • - Exploratory Process Content Review
  • - Reviewing Your Data Science Projects - Episode 1 (Exploratory Analysis)

Category Popularity

0-100% (relative to Pandas and Exploratory)


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

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.

Exploratory Reviews

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

Based on our record, Pandas seems to be a lot more popular than Exploratory. While we know about 46 links to Pandas, we've tracked only 1 mention of Exploratory. We are tracking product recommendations and mentions on Reddit, HackerNews and some other platforms. They can help you identify which product is more popular and what people think of it.

Pandas mentions (46)

  • Multisort in Sheets, SQL, Python, and JavaScript
    Practical (or lazy) people like me use pandas to organize all their Python data that need multi-column sort, just like in this Jupyter Notebook example:. - Source: / 2 days ago
  • Google has a Machine Learning Course. It's free
    If you are new to pandas, do the pandas UltraQuick Tutorial Colab exercise, which provides all the pandas information you need for this course. - Source: / 3 days ago
  • Where is the best place to learn GIS based python?
    I've heard that it's better to learn some of the basic of Python first and then add the geo-spatial so you can check out Think Python and Python for Data Analysis. The second uses pandas which has a spatial extension, geopandas. You can also check out Anita Graser's course for PyQGIS here. There's tons more resources out there. - Source: Reddit / 6 days ago
  • Lesson learned
    Python + Pandas, R or powerBI will serve you well. - Source: Reddit / 9 days ago
  • Learning to Code in Python or Computer Science 1 for Stats Major?
    Math prof here. I refer all my advisees to the Python course unless they are double majoring in CS. CIS 162 focuses on Java and using it to do enterprise-level software engineering. It's what CS majors need to see -- but most others would be better served with Python, which is simpler and more useful for non-CS applications than Java. Learn Python and then you can start tapping into the awesome Python libraries... - Source: Reddit / 14 days ago

Exploratory mentions (1)

None of the links we've tracked has presentable text. Tracking of Exploratory recommendations started around Mar 2021.

What are some alternatives?

When comparing Pandas and Exploratory, 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.

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.

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

Share your experience with using Pandas and Exploratory. For example, how are they different and which one is better?

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