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pandas python

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93 reviews
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4.6
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pandas python Reviews

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Raghuvar P.
RP
Raghuvar P.
Data Engineer-II | Solution Architect at Rebel Foods (Formerly Faasos)
05/28/2019
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Review source: G2 invite
Incentivized Review

Simple, efficient and powerful data manipulation and analysis tool

I am literally in love with Pandas, just like I love panda animals. Pandas provide excellent data structure(dataframe) for manipulation, analysing and cleaning the data. It supports data in any format and give us in a nice table like structure. With the Dataframe you can manipulate data however you want. The plotting of data also becomes easier, to apply some statistics on data such as mean, standard deviation etc are just one line code. Converting the datarame into csv, excel, json is super easy. It makes life very very easier of Machine Learning and Data Science developers.
Verified User in Computer Software
UC
Verified User in Computer Software
05/11/2019
Validated Reviewer
Review source: G2 invite
Incentivized Review

Best for the data analytics

The built in function which helps to provide the insight
Verified User in Financial Services
UF
Verified User in Financial Services
05/08/2019
Validated Reviewer
Review source: G2 invite
Incentivized Review

Can't do much without it

It's basically a necessary package for anyone involved in Data Science/Analytics using Python.

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What is pandas python?

Pandas is a powerful and widely-used open-source data analysis and manipulation library for Python. It provides data structures such as DataFrame and Series, which facilitate the handling of structured data with ease and efficiency. Pandas offers tools for data cleaning, aggregation, and transformation, making it essential for data science and engineering tasks. The library is highly optimized for performance and works seamlessly with other data-centric Python libraries like NumPy and Matplotlib.

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