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Advanced Analytics VS Pandas

Compare Advanced Analytics VS Pandas and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Advanced Analytics logo Advanced Analytics

In a nutshell, advanced analytics represents a collection of techniques used to model internal and external data to yield valuable insights that can drive business-improving actions.

Pandas logo Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
  • Advanced Analytics Landing page
    Landing page //
    2022-04-30
  • Pandas Landing page
    Landing page //
    2023-05-12

Advanced Analytics videos

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Pandas videos

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Ozzy Man Reviews: Pandas

More videos:

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

Category Popularity

0-100% (relative to Advanced Analytics and Pandas)

Advanced Analytics

Pandas

Technical Computing
100 100%
Technical Computing
0% 0
Data Science And Machine Learning
1 1%
Data Science And Machine Learning
99% 99
Data Dashboard
7 7%
Data Dashboard
93% 93
Data Science Tools
0 0%
Data Science Tools
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 Advanced Analytics and Pandas

Advanced Analytics Reviews

We have no reviews of Advanced Analytics yet.
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Pandas Reviews

25 Python Frameworks to Master
Pandas is a powerful and flexible open-source library used to perform data analysis in Python. It provides high-performance data structures (i.e., the famous DataFrame) and data analysis tools that make it easy to work with structured data.
Source: kinsta.com
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

Social recommendations and mentions

Based on our record, Pandas seems to be more popular. It has been mentiond 199 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.

Advanced Analytics mentions (0)

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

Pandas mentions (199)

  • The ultimate guide to creating a secure Python package
    It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / 26 days ago
  • AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
    Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / about 1 month ago
  • Pandas reset_index(): How To Reset Indexes in Pandas
    In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / about 1 month ago
  • Deploying a Serverless Dash App with AWS SAM and Lambda
    Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 3 months ago
  • Stuff I Learned during Hanukkah of Data 2023
    Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 6 months ago
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What are some alternatives?

When comparing Advanced Analytics and Pandas, you can also consider the following products

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

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

SAP BusinessObjects Predictive Analytics - SAP Predictive Analytics software allows the user to create better and faster predictive results, deliver machine learning at scale using a factory approach and bring predictive insights where people interact _ in business processes and applications.

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

IBM SPSS Modeler - IBM SPSS Modeler provides predictive analytics to help you uncover data patterns, gain predictive accuracy and improve decision making.

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

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