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Pandas VS NLTK

Compare Pandas VS NLTK and see what are their differences

Pandas logo Pandas

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

NLTK logo NLTK

NLTK is a platform for building Python programs to work with human language data.
  • Pandas Landing page
    Landing page //
    2023-05-12
  • NLTK Landing page
    Landing page //
    2023-01-25

Pandas videos

Ozzy Man Reviews: Pandas

More videos:

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

NLTK videos

29 Python NLTK Text Classification Sentiment Analysis movie reviews

More videos:

  • Review - Tutorial 24: Sentiment Analysis of Amazon Reviews using NLTK VADER MODULE PYTHON with [SOURCE CODE]

Category Popularity

0-100% (relative to Pandas and NLTK)
Data Science And Machine Learning
Spreadsheets
0 0%
100% 100
Data Science Tools
100 100%
0% 0
NLP And Text Analytics
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 NLTK

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

NLTK Reviews

We have no reviews of NLTK yet.
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Social recommendations and mentions

Based on our record, Pandas seems to be a lot more popular than NLTK. While we know about 201 links to Pandas, we've tracked only 3 mentions of NLTK. 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 (201)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 17 days ago
  • Awesome List
    Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 23 days ago
  • 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 / about 2 months 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 / 2 months 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 / 2 months ago
View more

NLTK mentions (3)

  • Just created an app to help me practice my Polish grammar. The passages are from classical literature available in the public domain. If you would like to try it, the link is in the comments.
    To give you some further inspiration, you might want to check out the NLTK (Natural Language Toolkit - https://www.nltk.org/ ). It is a huge collection of tools for language data processing in general. Source: about 1 year ago
  • Which not so well known Python packages do you like to use on a regular basis and why?
    I work mostly in the NLP space, so other libraries I like are spaCy, nltk, and pynlp lib. Source: almost 2 years ago
  • How to make/program an AI? Is it even possible?
    Learn some Python and play around with existing AI libraries. Go through things like nltk.org and some freecodecamp tutorials to get some hands-on knowledge. Follow this sub and watch the kinds of projects people are creating. Source: over 2 years ago

What are some alternatives?

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

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

spaCy - spaCy is a library for advanced natural language processing in Python and Cython.

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

Amazon Comprehend - Discover insights and relationships in text

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

Google Cloud Natural Language API - Natural language API using Google machine learning