HN user
I used both Python and Ruby extensively for a while, love both, but Ruby was just nicer to code in. The problem for me was the much smaller ecosystem, especially for anything numerical/data related. Numpy was, pre Pandas days, the killer library for the type of work I do.
Very cool. Reminds me of reading the now-defunct Game Developer magazine years ago.
This is a great presentation, goes into a lot of details. Thanks for sharing.
The headline itself demonstrates ignorance as to what matters to an investor putting money on the table. 1. Sell-side analyst forecasts do not drive the investment decisions of the more sophisticated investors. The sell-side is just a big marketing machine and the value-add of the analysis is very low at an individual stock level. 2. The model ‘beats’ the consensus forecast on a limited sample of names. By definition, the consensus forecast is an averaging out which leads to dilution of any one analyst’s alpha - hence it is not an appropriate benchmark.
It is a naive approach and study, but typical of academics who unfortunately have little exposure to real-world investing/trading strategies.
The use of ‘alternative data’ is not new and is definitely leading to alpha generation for some firms, but as mentioned by others such data-driven strategies will usually have limited shelf-life.
Sarolea: Belgian electric superbike right here https://www.sarolea.com/motorcycles
Get a lawyer and don’t leave a trail of thought online that could be used against you.
This is an old story and much has changed since. You can find just about any technical title in seconds, and in clean pdf format - not scanned.
Apparently not quite the first to get there https://www.h55.ch/
Dask’ s compatibility with Pandas makes it ideal. Very easy to use.
Thank you, Paul Graham, on behalf of obsessive collectors everywhere! This also supports the ‘no free-lunch’ adage. There is merit in exploring uncharted territory, purely for the sake of it, but it is hard work with no guarantees of finding treasure except satisfaction of doing what you are interested in.
Dask anyone? Allowed me to handle a 60 Gb dataset on a machine with 16 Gb RAM. High level of compatibility with Pandas dataframes.
Great list. I would add: ‘Coding and software development are the same thing’
That’s quite sad..
You are correct - I was making light of this overly serious subject
I’m actually from Belgium, which is in a very similar situation as Quebec: (a) heavy accent which the French love to make fun of and (b) where language wars have been raging forever and taken to ridiculous levels. This mentality of wanting to keep a culture ‘pure’ by trying to control how and where language is used, is a losing battle. Some Quebecers, just like purist francophone Belgians have taken this language obsession to irrational levels, and it has knock-on effects in other aspects of daily-life. I wish Quebecers would just lighten-up about it..
It sure is a recurring pattern! Has been for decades.
Quebec language rules and the minions that enforce them can be quite pathetic. Just a couple of months ago, the debate be was about the right of shop-keepers being able to greet their customers in both English and French, or only in French. Totally ridiculous.
I am also a native French speaker from Europe, and left Montreal because of the backward mentality. I totally respect Quebec’s need to protect their heritage, but you can’t force it down people’s throats. It is counter-productive. It wouldn’t be so funny, if Quebec French wasn’t so hilarious to listen to... they took perfectly good French and turned it into something that is often unrecognizable.
I don’t dispute the significance of physics to industry and economics, but basic physics innovation would not be commercialized without the participation of a host of non-physicists.
Haven’t tried it yet, but judging from the templates, this is really cool!
I think the python ‘developers’ this survey targets is only the tip of the iceberg.
I’ve been using python for 15+ years, writing production tools, yet I’m not a developer and this is not the focus of my job. I expect there are vast numbers of Python coders out there who develop meaningful tools using Python and know the language well, but whose main activity is not software dev.
Clearly, the survey reflects the audience targeted by JetBrains i.e. web and data scientists - whatever the latter really means.
All these responses demonstrate the typical issue with today’s dev mindset... i.e. wanting to develop a solution where there is no problem to solve, and very often resulting in an alternative with more issues than the original tool. There is a reason why MS Access and Excel endure: they are far from perfect and have tons of limitations, but they do solve the very basic function they were designed to fulfill. An IT solution which is simple, robust and allows users to do their job without relying on tech support and maintenance is just a beautiful thing - that’s what technology should be about. Not, this endless envy to refactor what is working just fine for for the user... I love the examples presented above of areas where Access solves a real problem and helps them save valuable time, in difficult working conditions!
I’m quite sure that a16z folks are smart, and perhaps the hyping-up does achieve an intended purpose. What bugs me is the non-stop need to feed narratives which dum-down and embellish reality.
A VC hyping-up its own book & strategy. Biology is certainly not an engineering discipline. This claim that it is reflects how little the authors know about biological systems and our limited understanding of biological diversity. Reads like lame sell-side broker research. I recall the promises of biotech of the mid 80’s, the promises of bioinformatics etc etc. Same story, different decade.
Flash, ActionScript and the associated IDE were amazing web development tools at the time (in the era of Macromedia) - way ahead of any competitors. No one/nothing has really filled those shoes.
Do not give up on quant finance. Your longevity as a quant will be longer in finance than ‘data science’ whose value is quickly becoming diluted. Quants have been data scientists before the term was coined and will continue to be. My advice: do not get sucked into academic quant finance but become a practitioner by working for an investment firm or institutional investor. It will pay off.
This looks very interesting and addresses a very common use-case - thanks for showing.
Nice.. really well done!
Agree with the article - always found ORM’s over-engineered and too opinionated for my liking. I’ll stick to SQL and keep total control thanks.
Starting out with the first few lines of a Clutch song (Book of Bad Decisions)..
«One rode into the east
Another to the west
In a fit of desperation
In the dark I sought redress » —> of my anger
But I hid from the people
The rest in their turn hid
They told tales of violence that had never occurred before
The rest fled into the open sea
And their survivors never told me
The tale of the woman whom I had once known was the ghost,
She came crying, she saw the sun rising...
Not bad, but I’ll stick to the original lyrics
This is actually quite significant if you consider the perturbation which weather systems can have on flight operations. Weather can easily lead to annual losses > 100m to individual US carriers, due to delay and cancellations.