A drawing of two red pandas touching their noses together.
The red pandas are the colors of the lesbian flag, and they appear in front of a lesbian flag background.
https://www.pinterest.com/pin/488148047383880151/
46/x
A drawing of two red pandas touching their noses together.
The red pandas are the colors of the lesbian flag, and they appear in front of a lesbian flag background.
https://www.pinterest.com/pin/488148047383880151/
46/x
Immer wenn ich denke, da müssen nur ein paar Columns angepasst werden und ein bisschen anders rumgemerged werden, sitzt ich für einem immer heißer werdenden Laptop und verfluche meine immer noch bestehende Naivität!
Last week's US jobs report significantly reduced the estimates from previous months, leading to the firing of the head statistician.
In the latest Bamboo Weekly, we examine the government's data, calculating these changes ourselves. Were these the biggest-ever downward revisions?
Improve your #Python #Pandas skills every Wednesday with new, real-world data-analysis problems: https://BambooWeekly.com
The #pandas "read_csv" method is so silly, if you read a csv header with "example1, example2, example3" it will create the keys: "example1", " example2", " example3" including the leading spaces in the key names...
This always throws me for a loop when it says 'keyerror example1' and I go to print the keys and ITS RIGHT THERE!
A bizarre new Linux malware can be found hiding in cute animal photos - That cute panda pic? It's actually a cryptominer https://www.techradar.com/pro/security/a-damaging-new-linux-malware-is-hiding-in-cute-animal-photos
That cute panda pic? It's actually a cryptominer #cybersecurity #Linux #malware #cuteimages #Pandas #cryptominers #LLMCoded
I recently started a GitHub repository to include useful pandas Python code. I hope to post to it nearly every day for a month, and eventually use some of the code to even make an entire video or course on pandas.
Below is an example file I've make:
https://github.com/sinocelt/useful-pandas-code/blob/main/dataframes-and-series-basics/dataframes-and-series-basics.ipynb
#pandas #Python #coding #Jupyter #JupyterNotebook #DataScience
Ever wonder about the mind behind Pandas & Apache Arrow? Ep. 2 of #TheTestSet (Part 1!) unpacks Wes McKinney's journey – including his speedrunning past! What makes good tools good?
Listen at https://thetestset.co, on Spotify, or Apple Podcasts
Next Tuesday, get ready to meet the mind behind #Pandas & #ApacheArrow !
Wes McKinney shares his origin story (Part 1) on #TheTestSet. From speedruns to shaping the data stack, this is one you won't want to miss.
Mark your calendar for Tuesday & subscribe at https://thetestset.co!
Fans bid farewell to four giant pandas at a zoo in the Adventure World amusement park in Shirahama, Wakayama Prefecture, on Friday, the final viewing day for the animals ahead of their return to China. https://www.japantimes.co.jp/news/2025/06/27/japan/wakayama-pandas-china-return/?utm_medium=Social&utm_source=mastodon #japan #adventureworld #wakayama #china #chinajapanrelations #pandas
Just came across this warning
FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead.
Ok, so it's Pandas referring to the symbol for "hour", but still. At first glance it looked like a pretty bold move! I was about to alert my sister Heidi that her name is now "heidi".
Anybody using the narwhals #python package for #dataframe manipulations?
Very comfortable with #pandas and #polars syntax, but although #narwhals is supposed to be very close to polars, it is a subset and I find that there is a lot of basic stuff missing. Trying to figure out how to get the first part of a str.split.
in pandas I just add .str[0] and in polars .list.get(0)
with narwhals neither approaches are implemented. Any idea as what is supported in narwhals to do this?
#programming
#TalkPythonToMe 503: The #PyArrow Revolution
Episode webpage: https://talkpython.fm/episodes/show/503/the-pyarrow-revolution
Media file: https://talkpython.fm/episodes/download/503/the-pyarrow-revolution.mp3
A Chinese government official has shown a positive stance on the possibility of newly lending a giant panda to Japan, as four pandas will leave the country in June under the terms of a loan agreement. https://www.japantimes.co.jp/news/2025/04/30/japan/china-giant-panda-japan/?utm_medium=Social&utm_source=mastodon #japan #pandas #chinajapanrelations #china
All four giant pandas at a zoo in Adventure World in Wakayama Prefecture will be transferred to China around the end of June, the leisure facility said Thursday. https://www.japantimes.co.jp/news/2025/04/25/japan/pandas-in-wakayama-to-return-to-china/?utm_medium=Social&utm_source=mastodon #japan #china #wakayama #adventureworld #pandas
OPEN SOURCE
The Problem
There have been many instances where I needed to compare two dataframes and analyze their differences. To address this need, I created a fast Python library called "data_fingerprint" that does exactly that.
Check it out and let me know what you think!
https://github.com/SimpleSimpler/data_fingerprint
@pythonhub
@pandas_dev
#pandas
Hello, I am looking for a way to identify a commune/city from a geolocation point (lat. - long.)
Does a library exist?
How to do that?
This request is not to find a commune/city from an address.
For instance, my search is from points in the middle of fields and in a forest...
And when I don't have an address :).
Thank you for your time.
----
Je cherche un moyen de retourner le nom d'une commune à partir de la géolocalisation d'in point.
Merci.
Thank you to #Kone & Mai and Tor Nessling Foundations for supporting this work. A quantitative work like this would not be possible without a robust suite of FOSS tools. My thanks to the maintainers of #QGIS, #pandas, #geopandas, #duckdb, #dask, #statsmodels, #jupyter and many more!
Working on core array computing libraries that power #scientificPython? #EuroSciPy2025 wants your proposals on optimized array operations, vectorization techniques, and numerical foundations. Submit your groundbreaking work!
#python #pandas #regex
Ein großer Fallstrick für mich, sind die unterschiedlichen Rückgabewerte.
pandas lässt recht einfach auf den gesuchten Regex als Rückgabewert zugreifen, bei python zusammen mit re braucht es eine extra Schleife, wenn man den Regex als Rückgabewert will.
Der Kleinkram macht immer den Unerschied!