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
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!
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".
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
I am really looking forward to a time when scientific data analysis is less of a constant fuckaround and fight with technical bullshit. I'd *really* like
- #netCDF natively supporting complex numbers
- #Python #xarray and #pandas to natively support physical units (#pint is great on its own but the integrations leave a LOT to be desired)
- #Jupyter notebooks to suck less (crashes, glitches, widget plots not saved statically, an effing BUILTIN formatter, etc.)
- proper data pipeline systems
...
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!
At last night’s @mug meeting we looked at a lot of different solutions to #adventofcode day 1 in many different languages. Two that were very interesting to me were #Zig and #haskell. The way these two languages worked was really quite fascinating. After seeing real code in these two languages, I can tell they are not for me; but they were interesting and illuminating nonetheless.
There was a solution entirely in #SQL. Another in #vim9script. Another in #swiftlang #swift (I don’t think that one’s in the repo yet). I wrote several implementations myself. The one I felt most proud of is #Python with the core written in #rustlang #rust tied together with #PyO3. The one I felt was maybe the best tool for the job was entirely based on #pandas. As I said in a previous post, I tried to solve it in #polars, but the API exposed by Polars at least as far as I could tell, made it no better than simple lists in Python. I need to get deeper knowledge here.
The repo lives here: https://github.com/MichiganUnixUserGroup/MUG-2025-03-11-Advent-of-Code.
#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!
Today's challenge on LeetCode: Patients With a Condition
Hint: Use .contains() with regex to handle variations
Give it a shot! [https://leetcode.com/problems/patients-with-a-condition?envType=study-plan-v2&envId=30-days-of-pandas&lang=pythondata] How did you approach it?
#Python #Pandas #DataScience #LeetCode
Why loc in pandas is faster than subsetting:
Direct label access (no recalculations)
View vs. Copy (loc returns a view, subsetting makes a copy)
Cython-optimized for speed
Less overhead in chained ops
The beautiful and sassy Chris-Anne. #RedPandas #RedPandasAreRealPandas #Pandas #TongueOutTuesday #NationalZoo
Compare the Best Data Visualisation Libraries for Python and Pandas
Make Better Bar Charts in Python using Pandas Plot
"Why Python for Data Analysis?"
https://wesmckinney.com/book/preliminaries
from "#Python for #DataAnalysis: #DataWrangling with #pandas, #NumPy & #Jupyter"
Putz agora ferrou, falando mal de projetos Open Sources, inclusive de libs como o Pandas do Python, dizendo que pode ser um risco de vulnerabilidade usar esse tipo de projeto.