NLTK VS Pandas

Compare NLTK VS Pandas and see what are their differences

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NLTK

NLTK is a platform for building Python programs to work with human language data.

Pandas

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

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2023-01-25

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2023-05-12

29 Python NLTK Text Classification Sentiment Analysis movie reviews

Pandas videos

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Ozzy Man Reviews: Pandas

Category Popularity

0-100% (relative to NLTK and Pandas)

Pandas

Spreadsheets

100 100%

Spreadsheets

0% 0

Data Science And Machine Learning

4 4%

Data Science And Machine Learning

96% 96

Natural Language Processing

100 100%

Natural Language Processing

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 NLTK and Pandas

NLTK Reviews

We have no reviews of NLTK yet.
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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 NLTK. While we know about 198 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.

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: 12 months 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: over 1 year 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

Pandas mentions (198)

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 / 12 days 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 / 5 days ago
Deploying a Serverless Dash App with AWS SAM and Lambda
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 2 months ago
Stuff I Learned during Hanukkah of Data 2023
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 5 months ago
Exploring Open-Source Alternatives to Landing AI for Robust MLOps
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago