stevecrox

Mint was a reaction to Gnome 3, the unique workflow upset a lot of people and the people behind Mint decided to build Cinnamon desktop (its Gnome 3 made to look/work like Gnome 2). They needed a distribution to build/test their work and so based a distribution off of Ubuntu and called it Mint.

As a bit of explanation, there are only a few projects which attempt to build an entire linux distribution from scratch. This involves finding code from thousands of sources, work out packaging, etc.. We call these 'base' distributions, Debian is the base distribution for Ubuntu, Ubuntu is the base distribution for Mint.

Ubuntu tends to be slightly ahead of Debian in the software versions it uses and automatically enables the 'non-free' repositories. Ubuntu tends to push some Canonical specific things like Snaps (which everyone hates)

I believe Mint rolls the Canonical specific things out of Ubuntu and you get the latest version of Cinnamon.

Its all a bit...

If its for work I would suggest picking a "stable" distribution like Debian, Kubuntu or OpenSuse.

A lot of people recommend Arch or Fedora but the focus of those is getting the very latest releases, which increases your chance of stuff breaking.

A lot of people will suggest niche distributions, those can be great for specific needs but generally you will always find Debian/Ubuntu/RHEL support for commercial apps.

I would also suggest looking at the KDE Desktop, many distributions default to Gnome but it is unique in how it works, KDE (or XFCE) will provide a desktop similar to Windows 11.

Lastly I would suggest looking at Crossover Linux by Codeweavers.

Linux has something called WINE, its an attempt to implement the Windows 95 - 11 API's so windows applications can run on linux.

WINE is how the Steam Deck/Linux is able to play Windows games. Valve embedded it into Steam and called it "Proton".

WINE is primarily developed by Codeweavers and they provide the Crossover application that makes setting up and running a Windows application really easy.

People will mention Lutris but that has a far higher learning curve.

There is an application database so you can see in advance if your applications would work: https://appdb.winehq.org/

Not really.

There are multiple ways to approach and conceptualise multiplication, division, simultaneous equations, binomial distribution, probability, etc..

I have met a few maths geniuses and we teach Maths the way they think and conceptualise Maths.

In my last job I was viewed as a superstar because I could take the algorithms the data scientists produced and explain them to non data scientists.

I didn't change the underlying maths, I tailored what to explain and examples to use based on my audience. This tended to get people really excited at what the data scientists had done.

Its the same with teaching, people need to understand and conceptualise a problem in a way that makes sense to them.

The issue is we only teach one method for approaching Maths so if you don't get it, tough.

In primary and secondary school I always struggled with Maths. During university I spent most of my energy reverse engineering the maths lessons so I could understand them.

Years later my sister was struggling with her Maths GCSE, I spent one evening explaining how I solve each type of problem. She went from a projected D to getting an A.

I was explaining this to an ex maths teacher who started asking how I approached things. Apparently I used the Indian method for one type of problem, the asian for anouther, etc..

The idea a student was struggling with one way of solving the problem and teaching them alternative methods never occurred because it was "outside the curriculum".

These days I quite like Maths puzzles.

This has to be THE dad joke meme format

Python's public API changes subtly, so minor changes in Python version can lead to massive changes in the version of dependencies you use.

A few years ago we developed a script to update Cassandra on Python 2.7.Y. Production environment used Python 2.7.X (it was 5 patch releases earlier).

This completely changed the cassandra library version. We had to go back 15 patch releases which annoying resulting in a breaking change in the Cassandra libraries API and wouldn't work on the dev environments Python.

Python 3 hasn't solved this, 2 years ago I was asked to look at a number of Machine Learning projects running in docker. Upgrading Python from 3.4 to 3.8 had a huge effect on dependencies and figuring out the right combination was a huge pain.

This is a solved problem in Java, Node.js has the same weakness but their changes to language spec are additive so old code runs on new releases (just not the inverse). Ruby has exactly the same issues as Python

This advice isn't grounded in reality.

Management normally defines ways to track and judge itself, these are typically called Key Performance Indicators.

KPI's are normally things like contract value growth, new contracts signed, profit margin, etc..

So if the project manager is meeting or exceeding their KPI's and you walk up to their boss telling them the PM is failing as basic job functions, the boss won't care.

This is because the boss might have set the KPI's or the boss might also be judged on them. In either situation its to the bosses advantage to ignore you.

The boss will only care if there is a KPI you can demonstrate the PM failing to meet.

Every person/group will have various incentives and motivations. To affect change you have to understand what they are.

Wikipedia lists all 12 subs as having Rolls Royce Pressured Water Reactors.

Your PWR reuse idea is is kind of where Rolls Royce is looking to go with Small Modular Reactors (https://www.rolls-royce.com/innovation/small-modular-reactors.aspx).

I suspect refurbishing decades old PWR reactors would be far more expensive than just building new ones, for example a SpaceX Merlin engine costs $1 million and a Blue Origin BE-4 costs $15 million. Nasa argued it would be 'cheaper' to reuse Shuttle components for the Space Launch System (SLS). Refurbishing Shuttle RS-25 engines has cost Nasa $50 million dollars per engine, restarting a production line is costing $100 million for each new RS-25 engine.

A project manager has responsibility for delivery of a project but they typically lack domain specific knowledge. As a result they can't directly deliver something, merely ask subject matter experts for advice and facilitate a team to deliver.

Most PM's cope with the stress of this position poorly.

This cartoon is an example of micro management (a common coping mechanisim), the manager has involved themselves in the low level decisions because that gives a sense of control. If a technical team then tell them its a bad decison the team are effectively attacking their coping mechanisim.

The solution isn't to tell them their technical idea is terrible, when you've fallen down this rabbit hole you have to treat the PM as a stakeholder. They are someone you have to manage, so a common solution is to give them confidence there is a path to delivery, a way to track and understand it.

Tactic developed by Wagnar.

The create a plan with fixed waypoints for a squad to run. They plan for 5-8 squads to run the route at set intervals.

The idea is each squad exposes the Ukrainian position so the next squad knows where to attack. By sending so many squads in a short space of time the Ukrainian position is overwhelmed.

Wagner would plan to have the first 4-7 squads made up of convict units with minimal training, with a trained well equipped squad operating as a reserve. The idea being as soon as a Ukrainian position looked to be close to failure the reserve is dispatched.

Fundamentally everyone apart from the well trained reserve exists to soak up bullets and explosives. They are "meat".

The Russian army had "well" trained battalions, as those battalions are attrited it would shrink them down to maintain effectiveness.

With Wagner's success they backfilled the battalions with convict and mobilisation soliders. Those soliders are used following the tactic above with the original remnants of the battalion representing the well trained reserve.

This is how Russia solved their inability to train new soliders

SpaceX are launching 26-52 satellites at a time and have sustained 3 launches a week for most of the year.

The satellites are in a Low Earth Orbit, without constant thrust, atmospheric drag will force them to re enter earths atmosphere within a few months. This means they aren't adding to junk in space.

Unlike Nasa, ULA, Arriannespace, RoscosMos, etc.. SpaceX have always performed 2nd Stage Deorbit burns, so they aren't adding to Space junk by launching either.

The Low Earth Orbit is to ensure low latency and the need for constant thrust means the satellites have a short life expectancy by design. That is why SpaceX fought to keep the satellites as cheap as possible (e.g. $250k)

First stage booster reuse and fairing reuse means the majority of the launch cost is the second stage ($15 million).

The whole lot is privately funded

SpaceX have funded it privately. It apparently started operating at a profit this year.