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Pandas VS DontPayFull

Compare Pandas VS DontPayFull and see what are their differences

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Pandas logo Pandas

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

DontPayFull logo DontPayFull

Verified coupons and discounts for a variety of online retailers.
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  • Pandas Landing page
    Landing page //
    2023-05-12
  • DontPayFull Landing page
    Landing page //
    2022-07-18

DontPayFull is a multinational coupon business headquartered in Romania with a strong service presence in the United States, United Kingdom, Canada, and Australia. It provides free coupons and discount offers to consumers doing their shopping online.

Founders: The DontPayFull project was founded by Andrei Vasilescu and Adrian Cristea in 2012.

Employees: There are 27 full-time employees that work here and over 100 external collaborators that discover coupons and deals.

Clients: A few of the brands DontPayFull works with include Amazon, NewEgg, Macy's, Target, and Walmart.

Tools created: Amazon Discount Finder allows consumers to find coupons and discount offers directly from the Amazon website.

The affiliate networks that DontPayFull collaborates with for coupons and deals monetization are: CJ Affiliate, Rakuten Advertising, Awin, ShareASale, TradeDoubler AB, Skimlinks, VigLink, WebGains, Pepperjam, Impact Tech Inc., AvantLink, Performance Horizon Group Limited.

DontPayFull is a Corporate Member of the Performance Marketing Association since August 2016.

Media appearances: DontPayFull has appeared in publications such as MoneyPantry, DollarSprout, Well Kept Wallet, Yahoo! Finance, GoBanking Rates, and Reader's Digest.

Pandas features and specs

  • Data Wrangling
    Pandas offers robust tools for manipulating, cleaning, and transforming data, making it easier to prepare data for analysis.
  • Flexible Data Structures
    Pandas provides two primary data structures: Series and DataFrame, which are flexible and offer powerful capabilities for handling various types of datasets.
  • Integration with Other Libraries
    Pandas integrates seamlessly with other Python libraries such as NumPy, Matplotlib, and SciPy, facilitating comprehensive data analysis workflows.
  • Performance with Data Size
    For data sizes that fit into memory, Pandas performs excellently with operations and computations being highly optimized.
  • Rich Feature Set
    Pandas provides a wide array of functionalities, including but not limited to group-by operations, merging and joining data sets, time-series functionality, and input/output tools.
  • Community and Documentation
    Pandas has a strong community and extensive documentation, offering a wealth of tutorials, examples, and support for new and experienced users alike.

Possible disadvantages of Pandas

  • Memory Consumption
    Pandas can become memory inefficient with very large datasets because it relies heavily on in-memory operations.
  • Single-threaded
    Many Pandas operations are single-threaded, which can lead to performance bottlenecks when handling very large datasets.
  • Steep Learning Curve
    For users who are new to data analysis or Pandas, there can be a steep learning curve due to its extensive capabilities and complex syntax at times.
  • Less Suitable for Real-time Analytics
    Pandas is not designed for real-time analytics and is better suited for batch processing due to its in-memory operations and single-threaded nature.
  • Error Handling
    Error messages in Pandas can sometimes be cryptic and hard to interpret, making debugging a challenge for users.

DontPayFull features and specs

  • Wide Range of Coupons
    DontPayFull offers a large selection of coupons and deals for numerous online retailers, which increases the chances of finding a discount for a specific need.
  • User-Friendly Interface
    The website is easy to navigate, making it simple for users to find and apply coupons efficiently without much hassle.
  • Regular Updates
    Coupons and deals are frequently updated, ensuring that users have access to the latest discounts and promotions.
  • Free to Use
    The service is completely free, providing users with access to deals without the need for subscriptions or payments.
  • Browser Extension
    DontPayFull offers a browser extension that simplifies the process of finding and applying coupons while shopping online.

Analysis of Pandas

Overall verdict

  • Pandas is highly recommended for tasks involving data manipulation and analysis, especially for those working with tabular data. Its efficiency and ease of use make it a staple in the data science toolkit.

Why this product is good

  • Pandas is widely considered a good library for data manipulation and analysis due to its powerful data structures, like DataFrames and Series, which make it easy to work with structured data. It provides a wide array of functions for data cleaning, transformation, and aggregation, which are essential tasks in data analysis. Furthermore, Pandas seamlessly integrates with other libraries in the Python ecosystem, making it a versatile tool for data scientists and analysts. Its extensive documentation and strong community support also contribute to its reputation as a reliable tool for data analysis tasks.

Recommended for

    Pandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.

Analysis of DontPayFull

Overall verdict

  • DontPayFull is generally considered good for users who frequently shop online and wish to save money. It provides a reliable and comprehensive selection of coupons and promotional codes. However, as with all coupon sites, the effectiveness depends on the availability of up-to-date and valid coupons for the specific retailer you are interested in.

Why this product is good

  • DontPayFull is a platform that aggregates discount coupons, deals, and promotional codes from a wide range of retailers. This can aid users in saving money on online purchases by finding valid discounts and deals quickly. They offer a user-friendly interface and a large database of coupons which are updated regularly, making it convenient for those looking to minimize their spending.

Recommended for

  • Online shoppers looking for discounts and deals
  • Bargain hunters aiming to reduce expenses
  • Individuals who regularly make purchases from various online retailers

Pandas videos

Ozzy Man Reviews: Pandas

More videos:

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

DontPayFull videos

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Category Popularity

0-100% (relative to Pandas and DontPayFull)
Data Science And Machine Learning
Coupons
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Online Shopping
0 0%
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 Pandas and DontPayFull

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

DontPayFull Reviews

  1. Elle Bennett
    · Webmaster at UBuy Canada ·
    They provide the best offers

    I've used DontPayFull as well as TopCashBack a lot to save on the new year's sales. A lot of the deals work well.

  2. Don't Pay Full is the best site for finding discounts on your favorite products

    I was able to find a coupon for the store I was shopping at and was able to save a significant amount of money on my purchase. I will definitely be using this website in the future and would recommend it to anyone looking for a way to save money on their online shopping.


25 Best Coupon Websites
DontPayFull‘s mission is to help you pay less and save more. They’ve been working since 2012 to bring you money-saving offers.

Social recommendations and mentions

Based on our record, Pandas seems to be more popular. It has been mentiond 219 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 (219)

  • Top Programming Languages for AI Development in 2025
    Libraries for data science and deep learning that are always changing. - Source: dev.to / about 2 months ago
  • How to import sample data into a Python notebook on watsonx.ai and other questions…
    # Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / 2 months ago
  • How I Hacked Uber’s Hidden API to Download 4379 Rides
    As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / 2 months ago
  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
  • Sample Super Store Analysis Using Python & Pandas
    This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 10 months ago
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DontPayFull mentions (0)

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

What are some alternatives?

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

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

RetailMenot - The RetailMeNot mobile app allows you to find deals on the go for both online shopping and in store shopping.

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

Slickdeals.net - Slickdeals: The Best Deals, Coupons & Discounts on everything

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

Dealspotr - Dealspotr is like Wikipedia for deals.