Playing around with #Rust#Polars as an alternative to #Pandas (I hate Python :'D) -- it's a bit bumpy and you have to enable features such as "UInt8" but otherwise it's quite neat to crunch some big JSON files
Folks, I'm starting my post-#PhD job search low-key on the side while I write up my #thesis.
I have an odd collection of skills - #Linux, #Python, #Jupyter, #pandas, #DevRel, and I've done a lot of work in team leadership and management, and have led a multi-million $ not for profit in the past. Keynote speaker.
I'm looking for something that harnesses all of these skills - and it will be a senior role with senior pay, given my experience, qualifications and proven capability. I have time and will be discerning about my next step.
Job titles that might fit here would be Senior Research Engineer, Engineering Lead, Lead AI Engineer or similar.
Looking for fully remote work, with one day a fortnight max in #Melbourne, AU. If you don't believe in #RemoteWork or #WFH, we're not a good fit.
Super keen on something full time rather than splitting my attention over multiple part-time roles.
Looking to start around August, so a fair amount of lead time.
Keen on organisations that have strong values alignment - #FAIR and #CARE data use, #EthicalAI, AI for social good.
May have mentioned this, but goodness, #Pandasread_html is such a saver. Any properly formatted table from a webpage directly into usable tabular data, without copypasting into Excel or Numbers (as yours truly used to).
We're happy to announce the release of #pandas 2.2.2. You can install it with pip install pandas or mamba install -c conda-forge pandas. Thanks to all contributors and sponsors who made this release possible! The release notes can be found at: https://pandas.pydata.org/docs/whatsnew/v2.2.2.html
Wes McKinney — Principal Architect at Posit PBC — digs into building great open-source data science tools on the Real Python Podcast.
Wes has dedicated over a decade to easing bottlenecks of data processing systems. In this talk, he and Christopher Bailey at Real Python discuss composable data systems and community collaboration.
Chris-Anne: What do you mean they might be bringing more of those fat, black and white bears to our zoo? We're the big attraction around here now. #RedPandas#Pandas#Wildlife#NaturePhotography
We're happy to announce the release of #pandas 2.2.1. You can install it with pip install pandas or mamba install -c conda-forge pandas. Thanks to all contributors and sponsors who made this release possible! The release notes can be found at: https://pandas.pydata.org/docs/whatsnew/v2.2.1.html
Also, does anyone with any experience using both (especially for large data frames) want to weigh in on how much better Polars is re: speed and memory?
Please do not reply with something that does not answer either of these questions. Even if you think it's really helpful. Bear in mind you have no idea what I am doing or why and I have asked these specific questions for a reason.
As part of my #PhD work, I recently had to perform computation on two very large files using @pandas_dev and I turned to #dask - a set of libraries on top of #pandas, aimed at scaling #python workloads from the laptop to the cluster.
(1/2) Tables in Python 🐍👇🏼
Great Tables is a fairly new Python library for creating a styled table. This package is the mirror of the gt R package, and it comes with similar functionality. The package supports both Pandas 🐼 and Polar 🐻❄️ DataFrames and enables the creation of highly customized tables. 🧵👇🏼
Feature request: could #pandas and #tqdm library work together so I can see estimated runtime in my browser tab title? So I can easily see how much time I have for other tasks?
The second edition of the Effective Pandas 🐼🐍 by Matt Harrison is out. The new edition incorporates the major changes in Pandas 2.x covers topics such as:
✅ New chapters on testing and refactoring Pandas
✅ PyArrow types
✅ Using Cython and Numba
We're happy to announce the release of #pandas 2.2.0.
You can install it with pip install pandas or mamba install -c conda-forge pandas. Thanks to all contributors and sponsors who made this release possible!