mands

24 ms·

1. 61.▲
   Top Python Libraries for Visualization(towardsdatascience.com)

   2 points by mands 6y ago|0 comments
2. 62.▲
   Creating automated Python dashboards using Plotly, Datapane, and GitHub Actions(towardsdatascience.com)

   1 points by mands 6y ago|0 comments
3. 63.▲
   by mands 6y ago

   It's doesn't really, and that's the problem. There are automated tools and scripts to help, but there are always edge cases so that you end up going back to using pip for example. Nix and language package managers just don&#x
4. 64.▲
   by mands 6y ago

   Check out Fedora Silverblue for something along these lines.
5. 65.▲
   by mands 6y ago

   Datapane | Django and Backend Python Engineers | London, UK | REMOTE | https://angel.co/company/datapane/jobs Remote startup building Python-based data analytics and reporting that live in the browser - Datapane
6. 66.▲
   by mands 6y ago

   Datapane | Backend Python / Linux Engineer | London, UK | REMOTE | https://angel.co/company/datapane/jobs Remote startup building Python-based data analytics and reporting that live in the browser - Datapane
7. 67.▲
   by mands 6y ago

   Congrats on the 1.0 release! We've been using Arrow for a few years in our startup (link in profile) - it's been great as a common format for passing tabular data between Python and Javascript. Haven't used the in-memory&#x2F
8. 68.▲
   by mands 6y ago

   I do something similar with dataclasses using the `dacite` ( https://github.com/konradhalas/dacite ) library as a constructor for python dicts to dataclasses with runtime type-checking. Works really well with marshmallow
9. 69.▲
   by mands 7y ago

   This hits the nail on the head - it's about SPA vs MPA. Component-based architectures are a proven and a win on FE for more complex interactions, but that doesn't necessitate an SPA. We had a large SPA with a REST API backend and
10. 70.▲
    by mands 7y ago

    We're using intercooler on our current site and find it easier to keep the API side of the application separate from the HTML-generating MPA side. Internally they both call out to common code, but we like to keep the API-side RESTful a
11. 71.▲
    by mands 7y ago

    We're currently using a combination of Intercooler, Stimulus, and React components in our MPA depending on the interactivity and complexity needs of each component in question - so we're certainly not in the SPA camp. However havi
12. 72.▲
    by mands 7y ago

    Datapane | Full Stack Web Engineer | London, UK | REMOTE | https://angel.co/company/datapane/jobs Remote startup building cloud-native data analytics that live in the browser - Datapane is looking for an exception
13. 73.▲
    by mands 7y ago

    Datapane | Frontend Engineer | London, UK | REMOTE (Europe Only) | https://angel.co/company/datapane/jobs New startup with a remote team building cloud-native business analytics solutions from the browser. Modern
14. 74.▲
    by mands 7y ago

    NStack | Junior & Mid Frontend Engineers | London, UK | Fully Remote (Global) | https://angel.co/company/nstack/jobs VC-backed startup with a remote team building cloud-native business analytics solutions acce
15. 75.▲
    'A white-collar sweatshop': Google Assistant contractors allege wage theft(theguardian.com)

    84 points by mands 7y ago|10 comments
16. 76.▲
    by mands 8y ago

    NStack | London | FULL TIME, INTERNS | ONSITE, REMOTE NStack provides an interface for analysts to build data science workflows in the cloud from a library of reusable predictive models. Our product powers predictions for millions of users
17. 77.▲
    by mands 9y ago

    NStack | London, UK | Full time | Onsite & Remote | Functional Programming Systems Engineers | http://nstack.com / http://www.github.com/nstack/nstack NStack lets data scientists and analysts to do
18. 78.▲
    by mands 9y ago

    Thanks for the pointers - house is great, I remember reading some of the papers a long time ago. I haven't seen COGENT before - will take a look over the weekend - thanks!
19. 79.▲
    by mands 9y ago

    Hi there - we've actually built a lot of our container ecosystem around existing Linux tools, including `systemd-nspawn`, `btrfs` and more rather than creating the whole stack from scratch - and again this is all controlled from Haskel
20. 80.▲
    by mands 9y ago

    We're using Haskell to produce an entire compute platform for building, composing, and running type-safe containerised micro-services for data science. This certainly touches on a lot of the areas that Haskell is traditionally known fo
21. 81.▲
    by mands 9y ago

    NStack | London, UK | Full time | Onsite & Remote | Functional Programmers and Full-Stack Devs | http://nstack.com / http://www.github.com/nstack/nstack NStack lets data analysts to do sophisticate
22. 82.▲
    by mands 10y ago

    NStack | London, UK | Full time | Onsite & Remote | Functional Programmers & Data Scientists | http://nstack.com NStack lets data analysts to do sophisticated data work in the cloud without a team of engineers. To accomp
23. 83.▲
    by mands 10y ago

    Hi! Thanks for the ping, your email hasn't been lost! :) Sorry for the delay, my fault, was at a conference at the end of last week, and unfortunately caught a cold after :( Check your inbox - cheers!
24. 84.▲
    by mands 10y ago

    Agreed - we're a Haskell-based startup in London and have been utterly impressed at the developers we've met - not just in terms of their programming ability but also as engineers who are able to contribute as a team and work with
25. 85.▲
    by mands 10y ago

    StackHut | London | Full Time | ONSITE We’re a London-based startup working on a microservices-based “CloudOS” using a mixture of Haskell and Linux systems technology (containers, minimal distros, init systems, etc.) - with some DSLs, syste
26. 86.▲
    by mands 11y ago

    I get 9-10 hours on Linux with the UX305FA model (pre-Skylake fanless CoreM, i.e. MBA competitor). Not sure about the UX305LA model (i5/i7, i.e. MBP competitor).
27. 87.▲
    by mands 11y ago

    Asus Zenbook UX305 series - they are well priced and run both Linux and Windows fantastically.
28. 88.▲
    by mands 11y ago

    Great talk - for me the module system, and functors in particular, are one of the great strengths of OCaml. I'm hoping increases usage by Jane Street, Facebook and Bloomberg, along with the Unikernels/Docker tie-up will lead to in
29. 89.▲
    by mands 11y ago

    Yep, a source of constant frustration when moving between them!
30. 90.▲
    by mands 11y ago

    Good to see this back up on here - am just about to start porting a Python codebase to OCaml myself (www.stackhut.com) and have been reading this to help. Am thoroughly looking forward to all the typed, functional goodness :)