Think of an oval as two straights connected by two Eau Rouge nearly flat style corners. Short one mile ovals offer some of the best racing as there are multiple lines around the corners and you can often race side by side. An F1 race on something like the Milwaukee Mile would be absolutely fantastic with the leaders coming through traffic after about 10 laps.
People used to spend entire careers at one company so investment in them pays off. I spent 10 years working for Bell Labs in the 1980s albeit as a contractor, and the bodyshop that employed me found it worthwhile reimbursing all educational expenses for a grade of C or better.
Privatisation was awful from the traveller's point of view having to figure out which company to deal with. It would have been much better to micro-privatise each train - selling off the dining car franchise to a commercial operator or allowing a commercial company to add a coach to a train for a given fee.
In work life as in the rest of life there is a mid-career crisis thing where you plateau and realize this is likely the best you will ever do. Crazy things can happen or you may float until there's a downturn and/or layoff but likely at some point the same old same old may appear to be a friendly shore you would not mind landing back on to finish your career. A side hustle can be a good way to do something you feel passionate about.
Been there after the dot com bust - in my case I eventually got hired by a startup where I aced the brain teasers and 6 months there gave me the tech stack to get hired at a big company that carried me through to retirement. Six months of 996 may be the price to get back on the ladder.
Was laid off in 2001 during the dotcom bust. Was self-unemployed buying and selling used docking stations and power adapters until 2007 when I aced a job interview for a small start up after mostly giving up the job search. Six months at the startup gave me experience in an in-demand tech stack that landed me a job at a large tech company that saw me through to retirement 10 years later.
If I had it to do over right now I would be creating something with AI as my own business - probably not very lucrative but good experience that might get you hired someplace.
Fabian Way is an office/industrial area near the major 101 freeway with wide streets and plenty of room for the RVs. Seems entirely reasonable to park RVs there. The surrounding office buildings have acres of empty parking lots.
I can see if they stay a long time or are broken down and it becomes a shanty town that would be a problem, but given the problem of stupidly high rents pricing people out of homes, this seems a reasonable solution. City could lease an empty office building and allow cars/RVs in the parking lot with services like security, showers and social services in the office building.
Maybe I don't know enough about spreadsheets but two dimensions isn't enough for most applications. Maybe pivot tables? They are too hard to figure out. Need something like "SQLSheet" that takes a more complex data structure and presents viewing and editing it in a natural way with drill down and joins etc. AI should be able to help you design the DB and then create a tool to interact with it.
The people using these sheets have no idea what you’re talking about. They use multiple sheets to layer the dimensions and understand pivot tables perfectly.
Are people who understand relational databases and people who understand pivot tables disjoint sets?
I can look at someone’s finished pivot table and reproduce it from the data through other means, but any explanation of what a pivot table actually is and does reads like pure gibberish to me.
Probably. A pivot table is basically a way to turn on one of the dimensions of the sheet to make sense of the data. Like "show me all invoices, grouped by date and sum each group". It is effectively a query, in a way that makes sense for people working in spreadsheets.
The pivot tables don't require people to understand data normalization and software maintenance good practices. Outside of that, yeah, not really relational databases because those focus on having more than one table, but they do understand relations.
Check out the full version of Towards Scalable Dataframe Systems from VLDB 2020 [0]. They propose an algebra for dataframes and section 4.4's example succinctly describes the pivot operator.
If someone is going to invest the time in learning how to design a database and how to build a UI then they might as well do so on something more modern.
I need to measure temperature at multiple points and humidity in my experimental garden shed with a skytherm roof [ http://www.solarmirror.com/fom/fom-serve/cache/30.html ] for passive heating and cooling. Thinking your thermostat code might be 90% of what I need however I don't yet know python. I guess it's easy to understand and modify the code with the help of AI.
