gorkaerana
Regarding the other two authors in my previous comment: Hugh Thomas was also a leading Hispanist historian [2], and Antony Beevor is a prominent military historian [3]. I expect both books to be in the same vein as Preston's.
(Quick aside for the astute reader that noticed all of the recommended authors being non-Spanish: I find Spanish politics extremely polarized; the Spanish Civil War being perhaps the most polarizing topic. As such, I find outsider's perspectives to be more balanced and objective.)
References:
1. https://en.wikipedia.org/wiki/Paul_Preston
2. https://en.wikipedia.org/wiki/Hugh_Thomas,_Baron_Thomas_of_S...
- "The Spanish Civil War" by Paul Preston
- "Homage to Catalonia" by George Orwell
Books on the same topic on my reading list (and quite frankly can't wait to get hold of them):
- "The Spanish Civil War" by Hugh Thomas
- "The Fight for Spain" by Antony Beevor
I do wonder about pydantic being a VC-backed company and how much of a load-bearing column for the Python ecosystem they are. HN has similarly discussed uv at great length. For what it's worth, Mitchell Hashimoto has an interesting point of view [1] on this matter: "I think VC is unfortunately (for the cons) the best tool we have as an industry right now to produce the highest amount of accelerated, public good R&D right now".
May we only reap the benefits of the situation.
[1] https://lobste.rs/s/oznirn/redis_cost_ambition#c_66fiqh:~:te...
- JustHTML [1], which in practice [2] is a port of html5ever [3] to Python.
- justjshtml, which is a port of JustHTML to JavaScript :D [4].
- MiniJinja [5] was recently ported to Go [6].
All three projects have one thing in common: comprehensive test suites which were used to guardrail and guide AI.
References:
1. https://github.com/EmilStenstrom/justhtml
2. https://friendlybit.com/python/writing-justhtml-with-coding-...
3. https://github.com/servo/html5ever
4. https://simonwillison.net/2025/Dec/15/porting-justhtml/
In my analysis, as a percentage of total job posts, Python jobs start to rapidly increase in 2022, even before the current AI craze started by the release of ChatGPT on November 20 2022. They peaked in 2024 and seem to have stalled since. Rust and C++ jobs (again, as a percentage of total job posts), have gone toe-to-toe since mid 2023.
That being said, many improvements to be done to my analysis, as it relies on simple word match.
Or in Python:
```
from itertools import chain
fathers_surnames: list[str] = ["Ruiz", "Blasco"]
mothers_surnames: list[str] = ["Picasso", "López"]
kids_surnames: list[str] = list(chain.from_iterable(zip(fathers_surname, mothers_surname)))
```
Pablo Picasso's example is also a good way to touch upon your comment on how elites have used naming customs differently (I guess to distinguish themselves): Pablo's parents are listed in Wikipedia as "José Ruiz y Blasco" and "María Picasso y López", as opposed to the standard "José Ruiz Blasco" and "María Picasso López" (which I chose above). Similarly, Pablo was given the pompous birth name "Pablo Diego José Francisco de Paula Juan Nepomuceno María de los Remedios Cipriano de la Santísima Trinidad Ruiz y Picasso", instead of the more humble one (or maybe two) names that has been custom in Spanish.
Tangentially, I would say piling up names like this is more of a Catholic tradition than a Spanish one, e.g., the Archduchess Maria Theresa of Austria-Este, born Maria Theresia Beatrix Gaëtane, Erzherzogin von Österreich-Este, Prinzessin von Modena [3].
[1] https://en.wikipedia.org/wiki/Pablo_Picasso
[2] https://en.wikipedia.org/wiki/Jos%C3%A9_Ruiz_y_Blasco
[3] https://en.wikipedia.org/wiki/Archduchess_Maria_Theresa_of_A...
1. Just `pip` and `venv`; specifying dependencies via "requirements.txt" and "dev_requirements.txt", and tool configuration options in bespoke files. Too involved and with too many parts, yet it made do for my use cases.
2. `poetry` together with "pyproject.toml". Big quality of life improvement: commands like `poetry add`, `poetry build` make the process much less involved so one can just focus on actual development. Having all of the tooling configuration in a single place (that being "pyproject.toml") also helped with context switching.
3. `uv` for quick and dirty Python projects, `rye` (with the `uv` backend) for anything above that. In short, I think of `uv` and `rye` as faster siblings of `pip` and `poetry`, respectively. Once you get used to creating virtual and environments and installing dependencies in milliseconds or a few seconds it's difficult to go back to it always taking many seconds.
In hindsight, I would have been content just using `poetry`, but `uv` and `rye` do make for a faster and hence better developer experience.
P.S.: how messed up is it that only now we are agreeing on a convention for putting a project’s virtual environment into an in-project directory called `.venv`?
Fun fact: the Mitsubishi Pajero had to be marketed as Montero in Spanish speaking markets as "pajero" is Spanish for "wanker" [2].
They have figured out the rest of the words, as per the last image in the announcement tweet [1]. It's just that they don't make sense in modern Basque (source being me being a native Basque speaker).
[1]: https://twitter.com/aranzadi/status/1592129224806404097?s=20...