Software Alternatives & Reviews
Register | Login

Pandas VS Google Sheets

Compare Pandas VS Google Sheets and see what are their differences

Sup! Standup Bot
The complete stand-up and follow-up bot featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Pandas logo Pandas

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

Google Sheets logo Google Sheets

Synchronizing, online-based word processor, part of Google Drive.
  • Pandas Landing page
    Landing page //
    2023-05-12
  • Google Sheets Landing page
    Landing page //
    2022-01-17

Pandas videos

+ Add

Ozzy Man Reviews: Pandas

More videos:

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

Google Sheets videos

+ Add

Excel Online vs. Google Sheets

More videos:

  • Tutorial - Google Sheets Quickstart - Easy Tutorial 2018
  • Review - Airtable vs. Google Sheets

Category Popularity

0-100% (relative to Pandas and Google Sheets)

Pandas

Google Sheets

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Project Management
0 0%
Project Management
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Spreadsheets
0 0%
Spreadsheets
100% 100

User comments

Share your experience with using Pandas and Google Sheets. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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

Google Sheets Reviews

HIGHLIGHTING DUPLICATES: GOOGLE SHEETS VS FLOOKUP
Highlighting your data is a very good way to get an overview of what your data looks like before performing destructive operations like removing duplicates or using that data for any other purpose. Unfortunately, at the time of writing this article, Google Sheets does not provide a predefined way of highlighting duplicates. However, with custom formulas and conditional...
Source: www.getflookup.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.

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 / 1 day 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 / 19 days 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 / 13 days 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 / 2 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 / 5 months ago
View more

Google Sheets mentions (0)

We have not tracked any mentions of Google Sheets yet. Tracking of Google Sheets recommendations started around Mar 2021.

What are some alternatives?

When comparing Pandas and Google Sheets, you can also consider the following products

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

Microsoft Office Excel - Microsoft Office Excel is a commercial spreadsheet application.

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

LibreOffice - Calc - LibreOffice Calc is the spreadsheet program you've always needed. A fork of OpenOffice.

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

Airtable - Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.

Loading...