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Last of Japan’s pandas leave for China

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Top News
Overview
 · 2h
Japan's last pair of pandas have arrived back in China
Japan's last pair of pandas have returned to China, leaving Japan without the lovable bears for the first time in half a century.

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 · 1h · on MSN
Japan-born pandas Xiao Xiao and Lei Lei arrive in China as bilateral ties freeze
 · 14h · on MSN
Japan's Last 2 Pandas Leave For China Amid Strained Ties
France 24 · 17h
Japan’s pandas return to China, symbolising deteriorating relations
Japan’s last two giant pandas were sent back to China on Tuesday, after thousands of visitors gathered at Tokyo’s Ueno Zoo to say goodbye.

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 · 1d
Chinese Pandas Leave Japanese Zoo
 · 1d
Tokyo pandas head for China, leaving Japan bereft of beloved bears
1don MSN

Japan says goodbye to its last 2 giant pandas

People flocked to the Ueno Zoo in Tokyo to say goodbye to the last two giant pandas in Japan. Xiao Xiao and Lei Lei will return to China.
6h

Japan-born pandas Xiao Xiao and Lei Lei arrive home in China's Sichuan

China's giant pandas Xiao Xiao and Lei Lei arrived safely in Sichuan on Wednesday, China's panda research base said in a social media post, following an emotional goodbye from fans in Tokyo where the pair were born and raised.
18hon MSN

Video captures giant pandas playing in snow at the National Zoo

Videos show animals playing in snow at National Zoo in D.C.
1d

Japanese fans bid farewell to twin pandas hitting the road back to China as Japan to be 'panda-less' for 1st time in five decades: media

Japanese fans gathered around Tokyo's Ueno Zoo on Tuesday to bid farewell to the country's last two giant pandas. The twin pandas were transported by truck from the zoo to Narita Airport, where they are scheduled to board a flight back to China on Tuesday evening,
1d

Pandas 3.0 brings unified string type and performance optimization

With the PyArrow library installed, pandas 3.0 interprets string columns automatically as the str data type instead of NumPy- object. This is intended to improve performance and more efficient assignment of Python objects. The following example shows what the new code might look like:
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