benboughton1

Well this is timely content for me. I am 32, healthy weight range, and going to have athroplasty next week to replace L5/S1 disc. Information I was told is 9/10 have positive outcome with 1/10 still experiencing pain post recovery.

I agree. Once you would go to a video shop and all the popular titles were in one location (annoying to be physically there, but central). Now you need to find out which streaming service is on, have the app, subscription (then remember to cancel if just one show interested in). It's a mess.

I did not know about these shared servers. Makes Plex/JellyFin etc interesting. All the popular media one spot ready to stream.

OK so in practice, most people utilisting this type of software are either bending or breaking the law to organise their movie collection the way they want to. I would really like to be able to manage my media on a NAS with a great piece of OS software that organises them with no ML smarts (when did people forget about alphabetical order and a few tags/categories) but what you gain in privacy and other benefits there you loose in fighting the uphill battle in acquiring the files, time, management etc. It has to be a hobby.

Firefox is great on desktop. I use it 95+% of time. But it is not so good on Android. Ebay is great example. Most of the time, go to page 2 of search results and you get no listings. I want to use Firefox on mobile as it syncs my bookmarks and passwords but things like this are frustrating.

If you use a media player/manager like this, where do you get your movies? Is there a online movie store that you can download in appropriate format? There was a place for this before good streaming services existed but how do you legally obtain movies and store them on a NAS to feed into JellyFin? Are people ripping their blurays? I ot out of watching all the latest and greatest movies 10 years ago where we would just torrent everything into a folder called /movies. Now it's just the odd Netflix series so I am interested to know how people manage their movie collections and how they acquire them.

Yes I'll still take a look. I subscribed to your list and Twitter, kind of interested in what you are up to.

Nice thanks - I had not been here. The first two tutorial links are pretty old there are to AngularJS.

Anything full stack with Python/PostgreSQL/Angular?

I think the best way to make it as a 'poor programmer' is be a domain specific 'poor programmer'. I am bad a nearly all my programming in all my projects but probably just as efficient at getting jobs done than a 'good programmer' because the feedback loop is fast. I can hack away until something works and then sometimes polish it off when it functions. I suggest work using really popular tools and there is usually a solution written up online easily found through Google. Such are the times.

Cheers. No harm in checking it out. That Manning book looks good.

I have been considering approaching a new language lately after have self learn python and more recently javascript.

Where does nim sit in regards to the future of machine learning? Can we expect clones of pytorch/tensorflow? Is it a suitable language for this?

I traveled to the US in 2014 on a sponsored trip to research drones for agriculture. My report covered off on some of the technical challenges rather than the business side of it. You could see even in 2014 everyone had great ideas but profitable execution was going to be so hard. My report is here for a look back in time http://www.nuffieldinternational.org/rep_pdf/1438074605BenBo... . I then went on to start a business processing and providing satellite imagery in agriculture because I couldn't figure out a business model that would work for drones.

I am very new to the space.

I'd probably like to have a go at replicating some of the Blue River, Bilbery ideas but on a budget. That is sensing weeds or crop issues on the move therefore requiring global shutter. Uniform light throughout the day/night is another issue I am thinking through.

Working through fastai when I get a chance but my biggest issue is finding domain specific datasets.

I would also like to know this.

Fantastic! This fascinates me how you have reversed engineered a cheap camera to make it fit for purpose and shared your work. It could have applications in low budget computer vision projects. I am researching global shutter cameras now. Thinking Sony IMX264. Quite expensive in a enclosure from Flir or Lucid. Do you know what sort of FPS you could record? Dynamic range? QE etc.

Yes! I just finished their python one (first real intro to coding for me), then moved to this. This got me going too. Not sure if I had even finished it before I started working a web app which on my current full time job.

This is fantastic. I tried it out and works very well. I am self taught python and a bit of javascript to put front end to python servers. I have not really ventured outside that landscape as it has worked well for last 4 years or so for me so please excuse ignorance.

My understanding is in this high performance CPU landscape Java apps should work well on all popular desktop platforms and to have it compiling to a web UI like this makes it even more powerful.

How does including existing Java libraries like GeoTools http://docs.geotools.org/. What are good resources to read to understand the limitations of TeaVM?