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Pandas

Pandas is a term that can refer to two distinct subjects in biology and computing. The giant panda, Ailuropoda melanoleuca, is a bear native to China. It inhabits temperate bamboo forests in the mountains of Sichuan, Shaanxi, and Gansu. Its diet is predominantly bamboo, supplemented by small amounts of other plants, insects, or occasionally meat; bamboo constitutes the bulk of daily intake. Pandas are recognizable by their distinctive black-and-white fur, rounded faces, and a pseudo-thumb that helps them grip bamboo. They have a low reproductive rate; females are fertile for only a few days each year. In the wild, pandas typically live around 20 years, with longer lifespans in captivity. The species is listed as Vulnerable by the IUCN, with conservation efforts including protected reserves, habitat restoration, and captive breeding contributing to population stabilization.

Pandas also refers to a widely used open-source data analysis library for Python. Originating in 2008 and

developed
by
Wes
McKinney,
it
is
now
maintained
by
a
broad
community.
The
library
provides
two
core
data
structures:
Series
(one-dimensional
labeled
data)
and
DataFrame
(two-dimensional
labeled
data).
Built
on
NumPy,
pandas
offers
fast,
flexible
data
handling,
missing-value
management,
and
powerful
data-alignment
capabilities.
It
includes
I/O
tools
for
CSV,
Excel,
SQL,
and
other
formats,
extensive
time-series
functionality,
and
integrated
data
analysis
workflows.
Pandas
has
become
a
central
component
of
the
Python
data
science
ecosystem
and
is
distributed
under
a
permissive
license.