jonny / tags / science & technology

Tagged with “science & technology” (13)

  1. Winning at Rock Paper Scissors - Numberphile

    Squarespace: This video features Hannah Fry - More links & stuff in full description below ↓↓↓

    More on this topic (and lizards): And even more on this topic: The paper:

    Reddit for this video:

    Art and animation by Pete McPartlan

    Support us on Patreon:

    NUMBERPHILE Website: Numberphile on Facebook: Numberphile tweets: Subscribe:

    Numberphile is supported by the Mathematical Sciences Research Institute (MSRI):

    Videos by Brady Haran

    Brady's videos subreddit:

    Brady's latest videos across all channels:

    Sign up for (occasional) emails:

    Numberphile T-Shirts: Other merchandise:

    Original video:
    Downloaded by on Tue Dec 8 14:25:04 2020 Available for 30 days after download

    —Huffduffed by jonny

  2. The power of vulnerability | Brené Brown

    Visit to get our entire library of TED Talks, transcripts, translations, personalized talk recommendations and more.

    Brené Brown studies human connection — our ability to empathize, belong, love. In a poignant, funny talk at TEDxHouston, she shares a deep insight from her research, one that sent her on a personal quest to know herself as well as to understand humanity. A talk to share.

    The TED Talks channel features the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design — plus science, business, global issues, the arts and more. You're welcome to link to or embed these videos, forward them to others and share these ideas with people you know. For more information on using TED for commercial purposes (e.g. employee learning, in a film or online course), submit a Media Request here:

    Follow TED on Twitter: Like TED on Facebook:

    Subscribe to our channel:

    Original video:
    Downloaded by on Thu Sep 24 11:15:23 2020 Available for 30 days after download

    —Huffduffed by jonny

  3. Radosław Ganczarek - Code quality in Python

    Code quality in Python [EuroPython 2019 - Talk - 2019-07-12 - Boston] [Basel, CH]

    By Radosław Ganczarek

    Four years ago I talked about code quality during EuroPython in Bilbao. A lot of things changed from that time. Firstly, most tools I presented were still developed and gained new features, but also new ones appeared I wanted to discuss with you. Secondly, Python changed, Python 3 has type hints on board and there is a new tool dedicated to checking the types. Thirdly - I changed. I'm more distanced form my zealous approach from four years ago. I got real and reasonable. That's why I wanted to talk about code quality tools in Python again. I'll talk about all the software that can make code review a bit simpler by pointing out possible errors, duplicates or unused code. I'll talk again about formatters and how can they be used in modern-time projects. And I'll talk about hobgoblins, if you know what I mean :)

    License: This video is licensed under the CC BY-NC-SA 3.0 license: Please see our speaker release agreement for details:</a

    Original video:
    Downloaded by on Mon, 07 Oct 2019 10:30:36 GMT Available for 30 days after download

    —Huffduffed by jonny

  4. Guido van Rossum | Creator of Python

    Python is one of the most widely used programming languages. Swapnil Bhartiya, the founder of TFIR, sat down with Guido van Rossum, the creator of Python to talk about the origin of the langue and why he stepped down from the leadership of the very project he created.

    Original video:
    Downloaded by on Wed, 08 May 2019 07:59:29 GMT Available for 30 days after download

    —Huffduffed by jonny

  5. MIT AI: Python (Guido van Rossum)

    Guido van Rossum is the creator of Python, one of the most popular and impactful programming languages in the world. This conversation is part of the Artificial Intelligence podcast and the MIT course 6.S099: Artificial General Intelligence. The conversation and lectures are free and open to everyone. Audio podcast version is available on

    INFO: Podcast website: Course website: YouTube Playlist:

    CONNECT: - Subscribe to this YouTube channel - Twitter: - LinkedIn: - Facebook: - Instagram:

    Original video:
    Downloaded by on Wed, 28 Nov 2018 11:03:09 GMT Available for 30 days after download

    —Huffduffed by jonny

  6. PYCON UK 2017: Keynote: Shaping the World

    David R. MacIver | Friday 09:30 | Assembly Room

    How is a software project like the USSR?

    Unfortunately, this is not a joke and the answer isn't funny. Software follows in a grand tradition of totalitarian regimes by creating a simplifying vision of how the world works, then forcing the world to fit that vision.

    The vision is different, as is the power we use to enforce it, but the failure modes share a lot in common.

    This is a talk about power. We all have it, and we cannot abdicate it, so instead we must use it carefully and responsibly.

    I will try to set you on the path to doing so, by giving you the introduction to cultural anthropology and anarchist theory that I wish someone had given me before I ever started developing software.

    Original video:
    Downloaded by on Wed, 29 Aug 2018 11:25:40 GMT Available for 30 days after download

    —Huffduffed by jonny

  7. Andy Weir: “The Martian” | Talks at Google

    Six days ago, astronaut Mark Watney became one of the first men to walk on the surface of Mars. Now, he may be the first man to die there. You can find the book on Google Books:

    Andy Weir's brilliant debut novel The Martian ( is a gripping story of survival against all odds…set in space. Wise cracking astronaut Watney is a member of Ares 3, the third manned mission to Mars, scheduled for a two month assignment. After an epic dust storm threatens the crew's ascent they are forced to abort the mission. Watney, separated from the rest of the team, is unintentionally abandoned, with the rest of the crew believing him to be dead. Now he's stranded millions of miles from the nearest human being, with no way to even signal Earth that he's alive—and even if he could get word out, his food would be gone years before a rescue mission could arrive. Chances are, though, he won't have time to starve to death. The damaged machinery, unforgiving environment, or plain-old "human error" are much more likely to get him first. But Mark isn't ready to give up yet. Drawing on his MacGyver-esque ingenuity, mechanical engineering skills, and a relentless, dogged refusal to quit, he steadfastly confronts one seemingly insurmountable obstacle after the next. But will his resourcefulness be enough…

    Original video:
    Downloaded by on Thu, 28 Jun 2018 07:34:43 GMT Available for 30 days after download

    —Huffduffed by jonny

  8. Tetiana Ivanova - How to become a Data Scientist in 6 months a hacker’s approach to career planning

    PyData London 2016

    This talk outlines my journey from complete novice to machine learning practitioner. It started in November 2015 when I left my job as a project manager, and by April 2016 I was hired as a Data Scientist by a startup developing bleeding edge deep learning algorithms for medical imagery processing.

    SHORT INTRO Who I am, my background and short summary of my story. Here I will list the steps I personally took to achieve the goal I had.

    HOW DID I DO IT? Why I chose a “hacky” way to enter this career path. First mover advantage, why getting a degree doesn’t always improve your career prospects. Possibly a rant on the signalling function of formal education and how that is rarely aligned with a relevant practical skill set. Some stats to back it up (best career success predictors). Examples of hacking bureaucracies/social hierarchies from my experience and elsewhere. List of things not to do and common cognitive pitfalls. Networking for nerds - how to do it right. Time management for chronic procrastinators - how to plan a self-guided project. Some notes on psychology of time discounting and need for external reinforcement, with autobiographical examples. CONCLUSION You don’t need a PhD or even a masters to do machine learning. On taking calculated risks and especially calculate…

    Original video:
    Downloaded by on Tue, 06 Mar 2018 23:07:47 GMT Available for 30 days after download

    —Huffduffed by jonny

Page 1 of 2Older