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Pandas VS py2exe

Compare Pandas VS py2exe and see what are their differences

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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.

py2exe logo py2exe

A distutils extension to create standalone Windows programs from Python scripts.
  • Pandas Landing page
    Landing page //
    2023-05-12
  • py2exe Landing page
    Landing page //
    2021-10-04

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.

py2exe features and specs

  • Windows Executable
    py2exe allows you to convert Python scripts into standalone Windows executables without requiring the end-user to have Python installed.
  • Distribution Simplicity
    It simplifies distribution by packaging all necessary Python libraries and dependencies into a single executable file.
  • Customizable
    Offers a range of customization options, including the ability to include or exclude specific modules and packages, allowing for tailored executable creation.
  • Active Community
    Has a supportive community and ample online documentation, making it easier to find solutions to common problems.

Possible disadvantages of py2exe

  • Windows Only
    py2exe only works for creating Windows executables, which means it's not a cross-platform solution.
  • Configuration Complexity
    The setup process can be complex, especially for projects with many dependencies or special requirements.
  • Not Ideal for Large Applications
    The resulting executables can be quite large since they include a Python interpreter and necessary libraries, increasing both size and startup time.
  • Limited Continuity
    Though still usable, py2exe has had less active development compared to some other tools like PyInstaller, which may lead to potential issues with newer Python features.

Pandas videos

+ Add

Ozzy Man Reviews: Pandas

More videos:

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

py2exe videos

+ Add

Bypass Anti­Virus using Pyinstaller and py2exe (demo)

More videos:

  • Review - Python Py2exe Compiler Screen De-Constructed

Category Popularity

0-100% (relative to Pandas and py2exe)

Pandas

py2exe

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Website Design
0 0%
Website Design
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Website Builder
0 0%
Website Builder
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 py2exe

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

py2exe Reviews

We have no reviews of py2exe yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Pandas seems to be a lot more popular than py2exe. While we know about 219 links to Pandas, we've tracked only 1 mention of py2exe. 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 / 12 days 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 / 28 days 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 / about 1 month 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 / 3 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 / 9 months ago
View more

py2exe mentions (1)

  • Games
    Sounds like you are on Windows. I think something like https://py2exe.org/ will be what you are after. I'm on Mac / Linux systems only, so I can't really provide info on how to use it, but I know there are some good tutorials out there. Source: over 2 years ago

What are some alternatives?

When comparing Pandas and py2exe, you can also consider the following products

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

PyInstaller - PyInstaller is a program that freezes (packages) Python programs into stand-alone executables...

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

cx_Freeze - cx_Freeze is a set of scripts and modules for freezing Python scripts into executables in much the...

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

nuitka - Nuitka is a Python compiler.

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