An easy to use library to speed up computation (by parallelizing on multi CPUs) with pandas.

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Project description

Pandaral·lel

Without parallelization
With parallelization

Pandaral.lel provides a simple way to parallelize your pandas operations on all your CPUs by changing only one line of code. It also displays progress bars.

Maintainers

Installation

pip install pandarallel [--upgrade] [--user]

Quickstart

from pandarallel import pandarallel

pandarallel.initialize(progress_bar=True)

# df.apply(func)
df.parallel_apply(func)

Usage

Be sure to check out the documentation.

Examples

An example of each available pandas API is available:

For Mac & Linux
For Windows

Project details

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Project links

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Release history Release notifications | RSS feed

This version

1.6.5

May 2, 2023

1.6.4

Jan 15, 2023

1.6.3

Aug 9, 2022

1.6.2

Aug 3, 2022

1.6.1

Mar 15, 2022

1.6.0

Mar 14, 2022

1.5.8

Mar 12, 2022

1.5.7

Mar 3, 2022

1.5.6

Mar 3, 2022

1.5.5

Feb 6, 2022

1.5.4

Oct 17, 2021

1.5.3

Oct 4, 2021

1.5.2

Feb 4, 2021

1.5.1

Aug 25, 2020

1.5.0

Aug 24, 2020

1.4.8

Apr 5, 2020

1.4.7

Apr 5, 2020

1.4.6

Mar 1, 2020

1.4.5

Jan 20, 2020

1.4.4

Jan 1, 2020

1.4.3

Jan 1, 2020

1.4.2

Nov 28, 2019

1.4.1

Nov 11, 2019

1.4.0

Nov 9, 2019

1.3.4

Nov 2, 2019

1.3.3

Oct 6, 2019

1.3.2

Aug 3, 2019

1.3.1

Aug 2, 2019

1.3.0

Jul 23, 2019

1.2.0

Jul 9, 2019

1.1.1

May 13, 2019

1.1.0

Apr 4, 2019

1.0.0

Apr 1, 2019

0.1.7

Mar 31, 2019

0.1.6

Mar 31, 2019

0.1.5

Mar 26, 2019

0.1.4

Mar 24, 2019

0.1.3

Mar 24, 2019

0.1.2

Mar 16, 2019

0.1.1

Mar 11, 2019

0.1.0

Mar 10, 2019

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