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Java VS Pandas

Compare Java 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
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Java logo Java

A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible

Pandas logo Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
  • Java Landing page
    Landing page //
    2018-09-30

We recommend LibHunt Java for discovery and comparisons of trending Java projects.

  • Pandas Landing page
    Landing page //
    2023-05-12

Java features and specs

  • Platform Independence
    Java is known for its portability across multiple platforms via the Java Virtual Machine (JVM). This means you can write code once and run it anywhere.
  • Large Standard Library
    Java boasts a comprehensive standard library, which facilitates development by providing pre-built solutions for a wide array of programming tasks.
  • Robust and Secure
    Java emphasizes strong memory management and has built-in security features, making it a reliable choice for applications requiring high levels of security.
  • Community Support
    With a vast and active community, ample resources are available for learning and troubleshooting. Numerous libraries and frameworks are available due to its long-standing presence.
  • Performance
    Modern Java versions offer performance that is generally very good for many applications, particularly server-side applications where the Just-In-Time (JIT) compiler can significantly optimize runtime performance.

Possible disadvantages of Java

  • Verbosity
    Java's syntax can be verbose compared to newer languages, requiring more lines of code to accomplish the same tasks, which may reduce readability.
  • Memory Consumption
    Java applications can be memory-intensive due to their reliance on the JVM, which can be a downside for resource-constrained environments.
  • Performance Overhead
    Despite its generally good performance, Java's reliance on the JVM introduces some overhead compared to languages that compile to native machine code, such as C++.
  • No Low-Level Programming
    Java abstracts away from the hardware, making it less suitable for low-level programming tasks that require direct hardware manipulation, such as embedded systems programming.
  • Slow Startup Time
    Java applications can have slower startup times due to the overhead of JVM initialization, which can be a drawback for desktop applications or command-line tools that are frequently started and stopped.

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.

Java videos

+ Add

AP Computer Science in 10 Minutes (Java review)

More videos:

  • Review - Java AP CS Exam Review
  • Review - Top Five Basic Programming Concepts of Object-Oriented Java - Six Minute Refresher!

Pandas videos

+ Add

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 Java and Pandas)

Java

Pandas

Programming Language
100 100%
Programming Language
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
OOP
100 100%
OOP
0% 0
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 Java and Pandas

Java Reviews

The 10 Best Programming Languages to Learn Today
If you want to build your career in IoT or big data, Java is arguably the best programming language to learn. Java is cross-platform compatible and offers portability and versatility to almost any type of device, making it ideal for IoT applications. The Apache Hadoop big data processing system is also written in Java.
Source: ict.gov.ge
Alternatives to Nmap: from simple to advanced network scanning
This tool can provide favorite IP address ranges, NetBIOS information and web server detection. More features can be added by installing Java plugins.
Source: www.networkworld.com

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 a lot more popular than Java. While we know about 219 links to Pandas, we've tracked only 7 mentions of Java. 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.

Java mentions (7)

  • Can someone help with port forwarding?
    You can use UPnP PortMapper. Source code/Download. All you need is Java and that's it. Hope this helps. Source: about 3 years ago
  • PolyGlot 3.5 Release
    I would definitely suggest installing Java for this one, and the error should have asked you to do so. I'll have to look into why that was not popping properly for you and address it in a bug fix. In the mean time, you can address the issue by going here to install Java: https://java.com/en/. Source: over 3 years ago
  • i need help pls
    Https://java.com/en/ Is this the java you're using to install optifine. When I first got optifine I thought java meant Minecraft and not java. Source: over 3 years ago
  • I keep getting this error when I try to install Worldpainter
    I had this problem before just go to https://java.com/en/ and download the java then you will have to install the actual java, then after its installed go to This PC then Windows then Program Files then Java then go to the file name file name that show I think when you downloaded it then go into bin and you will find a java.exe file then click it and World Painter will install and that's who I solved king problem... Source: almost 4 years ago
  • What to do immediately with a brand new build?
    Java, Adobe Reader, Handbrake (great for converting and adjusting videos). Source: almost 4 years ago
View more

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 / 9 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 / 25 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 / 28 days 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 / 8 months ago
View more

What are some alternatives?

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

Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.

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

JavaScript - Lightweight, interpreted, object-oriented language with first-class functions

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

Rust - A safe, concurrent, practical language

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

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