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Pandas VS Thonny

Compare Pandas VS Thonny and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
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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.

Thonny logo Thonny

Python IDE for beginners
  • Pandas Landing page
    Landing page //
    2023-05-12
  • Thonny Landing page
    Landing page //
    2023-07-15

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.

Thonny features and specs

  • Beginner-Friendly Interface
    Thonny is designed with simplicity in mind, which makes it ideal for beginners. The interface is clean and intuitive, helping new users to focus on learning Python without being overwhelmed by unnecessary features.
  • Integrated Python Debugger
    Thonny comes with a built-in debugger that allows users to step through their code line by line. This feature helps in understanding the flow of the program and is especially useful for debugging and learning.
  • Simple Variable Inspector
    The variable inspector in Thonny provides a clear and straightforward view of variables and their values, helping users to better understand how data changes as the program runs.
  • Preinstalled with Python
    Thonny comes with Python preinstalled, which makes the setup process easier for beginners. Users don’t have to worry about separate Python installation and can start coding right away.
  • Support for MicroPython
    Thonny supports MicroPython, making it a suitable choice for programming microcontrollers and embedded systems. This expands its usability beyond just desktop applications.
  • Educational Focus
    Thonny includes features specifically designed for educational purposes, such as highlighting syntax errors and visualizing code execution, which helps students grasp programming concepts more effectively.

Possible disadvantages of Thonny

  • Limited Advanced Features
    While Thonny is great for beginners, it lacks some advanced features found in other IDEs like PyCharm or Visual Studio Code. This may hinder users as they advance and need more complex workflows and customizations.
  • Performance Issues with Large Projects
    Thonny may not perform efficiently with large-scale projects or extremely large files, potentially causing lag or crashes, which could be a limitation for more extensive development work.
  • Plugin Ecosystem
    Thonny's plugin ecosystem is not as robust as some other IDEs. Users might find fewer extensions and customizations available, which can limit its functionality for certain workflows.
  • Limited Language Support
    Thonny is designed primarily for Python and lacks support for other programming languages. This makes it less flexible for developers who work with multiple languages.
  • Basic Editor Features
    Essential features such as intelligent code completion, refactoring tools, and version control integration are present but not as sophisticated as in more professional IDEs, which could limit productivity for seasoned developers.
  • Less Frequent Updates
    Compared to more popular and commercially-backed IDEs, Thonny receives less frequent updates. This could mean slower adoption of new Python features and slower fixes for bugs.

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 Thonny

Overall verdict

  • Overall, Thonny is highly regarded as a good choice for beginner programmers, particularly those starting with Python. It effectively balances simplicity and functionality, making it an excellent tool for educational purposes.

Why this product is good

  • Thonny is a beginner-friendly Python IDE designed to make programming more accessible and understandable for newcomers. It offers an intuitive interface, a simple debugger, and features like variable tracing and expression evaluation that are particularly helpful for beginners. Its design minimizes distractions and helps in focusing on learning the basics of programming without being overwhelmed by complex features.

Recommended for

  • Beginners learning Python.
  • Educational environments and coding classrooms.
  • Users who prefer a simple and clean interface without extra complexity.
  • Those interested in a straightforward setup to start coding quickly.

Pandas videos

+ Add

Ozzy Man Reviews: Pandas

More videos:

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

Thonny videos

+ Add

Thonny - a Python IDE for beginners

More videos:

  • Review - Step Through Python Scripts With Thonny
  • Review - Introducing Thonny

Category Popularity

0-100% (relative to Pandas and Thonny)

Pandas

Thonny

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Text Editors
0 0%
Text Editors
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
IDE
0 0%
IDE
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 Thonny

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

Thonny Reviews

  1. steve
    · retired ·
    I like Thonny

    I started an on-line python course that used Pycharm as its basis. I had previously used Thonny to look at code for various programs. I found Pycharm to be over-featured for a beginner like me. Thonny seems much more on my level so I am continuing the course using it instead. And successfully I might add.

Social recommendations and mentions

Based on our record, Pandas should be more popular than Thonny. 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 1 month 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 / about 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 / about 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 / 9 months ago
View more

Thonny mentions (111)

  • Essential Software for Hardware Hackers: Your First IDE & Tools
    Raspberry Pi Pico (MicroPython): The Thonny IDE is highly recommended and often pre-installed in Raspberry Pi OS. - Source: dev.to / about 2 months ago
  • Antirez/load81: SDL based Lua programming environment for kids similar to Codea
    The nice thing about Python is that because it's so pervasive as a teaching language, there are many tools for it that specifically cater to this niche. In particular, https://thonny.org is very nice for explaining basic programming concepts like expression evaluation and function calls. And yeah, turtle graphics is the time-honored method of teaching things like loops, recursion, and parametrization via functions... - Source: Hacker News / 7 months ago
  • Python: From Beginners to Pro in 30 Mins (Part 1)
    Thonny or IDLE are great starting points for beginners due to their simplicity. As you become more comfortable, VS Code or PyCharm Community Edition offers more features to help you develop your skills. - Source: dev.to / 11 months ago
  • FeedMyFurBabies – Send and Receive MQTT messages between AWS IoT Core and your micro-controller
    Install Thonny and run it. Then go to Tools -> Options, to configure the ESP32C3 device in Thonny to match the settings shown in the screenshot below. - Source: dev.to / over 1 year ago
  • Raspberry Pico Badger: Hardware Features and OS
    The recommended way to programm MicroPython on the Raspberry Pico is to use the Thonny IDE. Accessing the Badger with reveals the following file structure:. - Source: dev.to / over 1 year ago
View more

What are some alternatives?

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

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

PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...

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

IDLE - Default IDE which come installed with the Python programming language.

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

VS Code - Build and debug modern web and cloud applications, by Microsoft

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