Pandas 1.0
pandas.pydata.org
Pandas 1.0
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Re: Pandas 1.0
#2This is a huge accomplishment. The maintainers work very hard at keeping data science running for a substantial chunk of the field. Congratulations!
Re: Pandas 1.0
#3I am looking forward to a decade of fewer API breaking changes. However, 1.0 introduces a new column type for strings, recommends its use over the old "object" column type, yet says it is "Experimental and may change at any time."
How are we supposed to interpret this in light of the promise that there will be no more API breakages until 2.0? It reads as if this promise does not apply to string data, which impacts rather a lot of use cases.
Re: Pandas 1.0
#4[deleted]
Re: Pandas 1.0
#5"pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language."
If anyone else is wondering what this is. (Source: project homepage
Re: Pandas 1.0
#6one of the best python | data libraries out there. For analysis alone, no tool comes close.
Re: Pandas 1.0
#7Great accomplishment and kudos to the dedicated maintainers. That being said, I've always had a love-hate relationship with pandas. It is a very powerful library and does a ton, but yet the API is all over the place and unless you use it regularly for a long period of time, it is almost impossible to get fluent with it. Every time I am away from it for a couple of months, I find even doing the most basic things to be complicated/confusing and find myself on stackoverflow way too often.
By comparison, the API of something like Pytorch is an absolute pleasure to use and even though I'm not using it all the time, I almost have no trouble every time I begin training models/trying out new things in Pytorch.
All that being said, this is definitely a step in the right direction and hopefully the API gets a bit more coherent over time.
Re: Pandas 1.0
#8I know I'm not the only one, but it's hard to imagine doing my job the last several year without Pandas. Even though Pandas has been used in production by many people as basically a 1.0.0 release for a long time, this an amazing milestone and I think everyone in my office smiled when they saw the release news.
I think it's worth it to acknowledge the great stewardship of the community by all the Pandas developers (and the rest of people in the PyData ecosystem). It has been an inspiration for me as I create and contribute to open source libraries for data science [0][1].
[0] https://github.com/FeatureLabs/featuretools/ [1] https://github.com/FeatureLabs/compose/
Re: Pandas 1.0
#9I am looking forward to a decade of fewer API breaking changes. However, 1.0 introduces a new column type for strings, recommends its use over the old "object" column type, yet says it is "Experimental and may change at any time." How are we supposed to interpret this in light of the promise that there will be no more API breakages until 2.0? It reads as if this promise does not apply to string data, which impacts ra…
It states in the deprecation policy that "API-breaking changes will be made only in major releases (except for experimental features)".
Re: Pandas 1.0
#10I am looking forward to a decade of fewer API breaking changes. However, 1.0 introduces a new column type for strings, recommends its use over the old "object" column type, yet says it is "Experimental and may change at any time." How are we supposed to interpret this in light of the promise that there will be no more API breakages until 2.0? It reads as if this promise does not apply to string data, which impacts ra…
It states in the deprecation policy that "API-breaking changes will be made only in major releases (except for experimental features)".
That seems like a rather large carve-out. Fortunately a lot of use cases won't really need to worry about something like that (e.g. exploratory analysis), in the context of it breaking your company.