Greg Winther
Greg Winther
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Our long-awaited Japan adventure!
Join us on an unforgettable adventure as my brother and I finally travel to Japan! In Tokyo, we experienced the iconic Shibuya Crossing, immersed ourselves in the mesmerizing digital art at teamLab Planets, and had an adrenaline-pumping go-karting session through the vibrant streets. Our journey continued to Kyoto, where we relaxed and soaked in the serene beauty of Fushimi Inari-taisha and the enchanting Bamboo Forest.
Explore Japan with us as we capture the essence of its bustling cities and tranquil landscapes. Don’t miss out on the exciting highlights, cultural insights, and our genuine brotherly moments. Like, comment, and subscribe for more travel vlogs!
Timestamps:
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#JapanTravel #TokyoAdventure #KyotoSerenity #ShibuyaCrossing #teamLabPlanets #GoKartingTokyo #FushimiInari #BambooForest #TravelVlog #BrothersTravel
Переглядів: 49

Відео

The Intertwined History of Physics and Finance
Переглядів 4 тис.3 роки тому
In this video I try to shed some light on similarities of computational physics and finance. One might argue that this video tends towards being a series of seemingly random ramblings, but I hope you might find it at least minutely enlightening and interesting. I mention a bunch of books in this video. Here they are. Texbook on Computational Physics: amzn.to/3re3QX9 Textbook on Numerical Method...
My first year as a PhD student (2020)
Переглядів 2,7 тис.3 роки тому
The year of 2020 definitely came with some extra challenges. In this video I try talk about what it entails to do a PhD in Norway, what I am supposed to do for my PhD and what I accomplished for my first year as a PhD student. The picture becomes a bit unfocused in the middle of this video. Sorry! 0:00 Intro 1:02 PhD Outline 3:08 What I am supposed to do 5:49 What I did in 2020 13:53 Outro
An Oscillating System (more ODEs!)
Переглядів 1,8 тис.3 роки тому
I solve a system consisting of a mass anchored to a point (that can move!) with a spring. This is a much more interesting system when solved on a computer, compared with pen and paper. I even include what physicist are indoctrinated to dread since their first mechanics class - friction! Well actually it's just a damping term. Close enough. I put everything from my youtube videos in a github rep...
Solving ODEs in Python 6: Comparing RungeKutta4 and ForwardEuler
Переглядів 1,8 тис.3 роки тому
In this video we solve a few ODEs numerically using both fourth-order Runge-Kutta and Forward Euler and compare the two methods. The problems we solve is exponential decay and a simple sinusoidal motion. You can find the Python ODESolver library I build throughout this video series here: github.com/gregwinther/youtube.
Solving ODEs in Python 5: Superclass and Runge-Kutta
Переглядів 6 тис.3 роки тому
In this view we implement the ODESolver superclass (parent class) that we talked about in the previous video. Thereafter, we implement the Forward Euler method again, highlighting the benefit of the new structure. We also implement the fourth-order Runge-Kutta method, perhaps the most popular of all numerical integrators/ODE solvers. You can find the Python ODESolver library I build throughout ...
Solving ODEs in Python 4: Different Algorithms and Their Similarities
Переглядів 1,1 тис.3 роки тому
A bit more theory in this video. There are a lot of different algorithms that can be used to solve ODEs. In this video we find their common traits so that we can take advantage of Object Oriented Design (OOD) when we implement them. You can find the Python ODESolver library I build throughout this video series here: github.com/gregwinther/youtube.
Solving ODEs in Python 3: System of Equations
Переглядів 3,9 тис.3 роки тому
In this video we expand the function we have already built to be able to deal with system of equations as well as higher order equations. You can find the Python ODESolver library I build throughout this video series here: github.com/gregwinther/youtube. #ODESolver #python
Solving ODEs in Python 2: Forward Euler
Переглядів 11 тис.3 роки тому
In this video I go through some theory , and implement what is arguably the most logical algorithm for solving ODEs on a computer: the Forward Euler method. You can find the Python ODESolver library I build throughout this video series here: github.com/gregwinther/youtube. #ODESolver #python
Solving ODEs in Python 1: Introduction and Examples
Переглядів 2,7 тис.3 роки тому
This video is the first in a series of videos where I build a library for solving ordinary differential equations (ODEs) on a computer. In this video I go through a few examples of ODEs in order to highlight the importance of a tool for solving them. This series of tutorials is a more formal representation of the ODESolver library that I start building in my videos on the SIR model (ua-cam.com/...
Collecting Stats and Initiating Quarantine [3/3]
Переглядів 1,7 тис.4 роки тому
In this video I finalise the PyGame disease simulation. You can find the full implementation here: github.com/gregwinther/youtube/blob/master/covid19/disease_pygame.py
Infections and Recoveries [2/3]
Переглядів 2,3 тис.4 роки тому
This is the second video in a miniseries of three where I implement a programme to simulate an infectious disease in PyGame. You can find the entire implementation here: github.com/gregwinther/youtube/blob/master/covid19/disease_pygame.py
Disease Simulation with Pygame [1/3]
Переглядів 7 тис.4 роки тому
I draw on inspiration from a very interesting article in the Washington Post (www.washingtonpost.com/graphics/2020/world/corona-simulator/) on disease simulations and implement something similar in Python with PyGame. This is the first in a miniseries of three videos. Find the full implementation of my simulation here: github.com/gregwinther/youtube/blob/master/covid19/disease_pygame.py 3blue1b...
Fitting COVID-19 data to the logistic function [2/2]
Переглядів 2,6 тис.4 роки тому
I build a toolbox for easily fitting COVID-19 data to a logistic function. The same principles can easily be applied to any function and data. The python script and data can be found here: github.com/gregwinther/youtube Sorry for a weird aspect ratio in this video. I blame my quarantine setup.
Intro to the logistic function with Python 🐍 [1/2]
Переглядів 1,1 тис.4 роки тому
In this video talk about the logistic function. My man Soumya Talukder asked for this and it was easy enough to make, so here you go! I go through all the ways to tweek the logistic function in Python. Sorry about the weird aspect ratio and a bit of noise in this video. Had to build a backup video recording setup in quarantine. ;)
Quarantined.
Переглядів 3984 роки тому
Quarantined.
Newton's Second Law + Programming = 🤯
Переглядів 3,6 тис.4 роки тому
Newton's Second Law Programming = 🤯
Predicting the development of the Corona virus with Python
Переглядів 4,8 тис.4 роки тому
Predicting the development of the Corona virus with Python
Research Visit to MSU
Переглядів 4394 роки тому
Research Visit to MSU
Simulating Neural Signals with RC Circuits
Переглядів 1,6 тис.4 роки тому
Simulating Neural Signals with RC Circuits
Why I'm staying in academia & other opportunities
Переглядів 1,3 тис.4 роки тому
Why I'm staying in academia & other opportunities
Discrete Caluclus 3: Integration and Trapezoidal Rule
Переглядів 4994 роки тому
Discrete Caluclus 3: Integration and Trapezoidal Rule
Discrete Calculus 2: Derivatives
Переглядів 2,2 тис.4 роки тому
Discrete Calculus 2: Derivatives
Discrete Calculus I: Functions and Interpolation
Переглядів 1,2 тис.4 роки тому
Discrete Calculus I: Functions and Interpolation
Quantum Dynamics using Coupled Cluster
Переглядів 2,2 тис.4 роки тому
Quantum Dynamics using Coupled Cluster
Hello New York.
Переглядів 1864 роки тому
Hello New York.
Becoming a Physicist.
Переглядів 1,5 тис.4 роки тому
Becoming a Physicist.
Writing my Computational Physics Thesis | Never-ending Week of Despair
Переглядів 2,6 тис.4 роки тому
Writing my Computational Physics Thesis | Never-ending Week of Despair
Ranking Physicists | Response to Andrew Dotson
Переглядів 2 тис.4 роки тому
Ranking Physicists | Response to Andrew Dotson
Simulating the Zombie Apocalypse with Python [2/2]
Переглядів 5 тис.5 років тому
Simulating the Zombie Apocalypse with Python [2/2]

КОМЕНТАРІ

  • @josevazquez6360
    @josevazquez6360 17 годин тому

    Is there going to be more computational physics content?

  • @hegaregieara1002
    @hegaregieara1002 18 годин тому

    Three years later 😮‍💨awesome and fun as always!

  • @jamelehasaadasaad2797
    @jamelehasaadasaad2797 Місяць тому

    Thanks !

  • @RAMESHNEUPANE-jg2uu
    @RAMESHNEUPANE-jg2uu 3 місяці тому

    Thank you for this content.

  • @JesusLegarda
    @JesusLegarda 4 місяці тому

    Subscribed

    • @JesusLegarda
      @JesusLegarda 4 місяці тому

      Oh! You have the Black Scholes model behind you.

  • @yusifalgurair1698
    @yusifalgurair1698 4 місяці тому

    Yo Greg i have a Univeristy project, Im relating quantum mehanics to predicting the stock market, would you be interested 🤣??

  • @tms8479
    @tms8479 7 місяців тому

    Thanks for this great video

  • @lalitasharma6687
    @lalitasharma6687 7 місяців тому

    CCSD(T) or QCISD(T) which one is better both are time consuming and give accuracy or same level?? Isn't it would be better if i use large HF basis set and do MP2 calculation ( it's pretty accurate) compared to using smaller basis set and doing CCSDT.

  • @pranav_chalotra
    @pranav_chalotra 8 місяців тому

    Newton will always be my first.

  • @juan-carlosisip4949
    @juan-carlosisip4949 10 місяців тому

    This looks fun! I'm an undergraduate Applied physics student. I'm planning to go to Medical Physics after. Best of luck to you bud👍

  • @VishalSingh-bs9eh
    @VishalSingh-bs9eh 11 місяців тому

    loved it!

  • @krishnadasnair8765
    @krishnadasnair8765 11 місяців тому

    bro made 69 vids and then stopped 💀. Dude come back!

  • @jonathanjackson7047
    @jonathanjackson7047 Рік тому

    Feynman belongs on c level. He was just one of three who pioneered quantum firld theory which was reflected in the shared nobel prize. He was top tier at self-promotion though.

  • @baki4457
    @baki4457 Рік тому

    Please dont add music to background

  • @edetmmekut809
    @edetmmekut809 Рік тому

    hi Greg pls can i learn advance physics up to master level ,especially particle physics without going to formal school,i want to learn just for pure passion sake and its sort of what will make me really happy

  • @edetmmekut809
    @edetmmekut809 Рік тому

    wow u folks look more like a software engineer

  • @jawadasif8130
    @jawadasif8130 Рік тому

    amazing

  • @cerise1796
    @cerise1796 Рік тому

    its the first order not the second : useless

  • @przeciag
    @przeciag Рік тому

    >I see vim >I like video

  • @sahanwijethunga4992
    @sahanwijethunga4992 Рік тому

    Dreams. One day

  • @missmuffy93
    @missmuffy93 Рік тому

    youre really talented explaining!! Thanks

  • @ravishanker8539
    @ravishanker8539 Рік тому

    Such useful content. Would you mind sharing your email to reach out for a small query?

  • @davidsvarrer8942
    @davidsvarrer8942 Рік тому

    You are a master in explaining and exemplifying complex matters. Thanks for your kind spending lots of time to make these 20 minutes of very illustrative work on discrete integration.

  • @arturocdb
    @arturocdb 2 роки тому

    You says “ nothing really groth exponential”, but when a cow have a baby, he or she or what ever growth exponential

  • @tiddlywinks497
    @tiddlywinks497 2 роки тому

    Thank you for the videos Greg! Im new to using python and I was wondering what IDE you would recommend for numerical analysis?

    • @GregWintherArtist
      @GregWintherArtist 2 роки тому

      I am using VS Code myself - other similar options to VS Code would be sublime and atom. For a more full-blown IDE I would check out PyCharm.

    • @tiddlywinks497
      @tiddlywinks497 2 роки тому

      ​@@GregWintherArtist Thanks Greg! Have you thought about doing any videos on PDE solvers?

  • @jonasoliveira1143
    @jonasoliveira1143 2 роки тому

    Thank you very much Greg, awesome lecture!

  • @alangodoy9591
    @alangodoy9591 2 роки тому

    Thank you for explanation. Love from Argentina

  • @jlzpacheco
    @jlzpacheco 2 роки тому

    What about looking the phase-plane? sometimes is really important! Can you show how to do that in python??

  • @milicentduckery7387
    @milicentduckery7387 2 роки тому

    I really appreciate how you explained each step, makes it very easy to follow. Thank you so much!

  • @thestonedyeti9708
    @thestonedyeti9708 2 роки тому

    I also want to do masters in this field. great vid

  • @pragatigupta5961
    @pragatigupta5961 2 роки тому

    Hi Greg! Thank you for the video. Yesterday only I gave my PhD interview in the department of clinical and cognitive neuroscience(university of Oslo). Just wanted to know, if you have any idea by when the results are out, approximately

    • @GregWintherArtist
      @GregWintherArtist 2 роки тому

      Sorry for the very belated reply - hopefully you got your answer by now? I had nothing to do with the process..

  • @AnkitKumar-qb9ze
    @AnkitKumar-qb9ze 2 роки тому

    I'm from India and Thinking to opt Engineering physics for UG level for further research in Computational Engineering, could you please help me to choose courses while bachelor

  • @Arobinek
    @Arobinek 2 роки тому

    Great video! Thanks a lot! A little note: On 16:00 - 17:00 minutes you have applied a forward numerical approximation to 1st derivative and for the 2nd derivative you have applied a backward numerical approximation. You mention that but quite fast and your clarification on 17:30 maybe a bit confusing.

  • @PabloElPianista
    @PabloElPianista 2 роки тому

    Hello I have a problem, when I try to execute the code that you have in github I get an error that tells me: No module named 'ODESolver' I have installed all the codes you have, how can I solve it? Thanks

    • @GregWintherArtist
      @GregWintherArtist 2 роки тому

      Hi! Have you tried installing the repo with pip? i.e.: pip install git+github.com/gregwinther/youtube

  • @tuma_inn
    @tuma_inn 2 роки тому

    fantastic video man, just great stuff, super clear and easy to follow and to understand.

  • @sunosoidal-box3840
    @sunosoidal-box3840 2 роки тому

    ua-cam.com/channels/SKh71ZwaZyT-Gqa3zmcuUQ.html. basics

  • @jelleludolf
    @jelleludolf 2 роки тому

    image.GET REKT

  • @missanjali3125
    @missanjali3125 2 роки тому

    Wowww... Nice ...thank you ...

  • @raphaelmoreira1850
    @raphaelmoreira1850 2 роки тому

    Hello I know its not related to the video, but everyone I asked hasnt responded to me. I'm studying to be approved in the Computational Physics Bachelor course here in Brazil(USP) and I wish to know if, with this degree, I'm able to be a Theoretical Physicist or I can only do this with a Bachelor Degree in Physics. Thanks in advance.

    • @GregWintherArtist
      @GregWintherArtist 2 роки тому

      Hi, Raphael. I don't know the exact curriculum of your comp. physics degree and I am therefore unable to answer your question. You should hear with someone at your university if the degree qualifies for entry into the appropriate masters/phd programme. In general terms - there is not a distinct difference, imho, between a "computational physicist" and a "theoretical physicist". That said, make sure you have the necessary courses to advance ;) Good luck with you studies!

    • @raphaelmoreira1850
      @raphaelmoreira1850 2 роки тому

      @@GregWintherArtist Thanks a lot m8!

  • @bloom1898
    @bloom1898 2 роки тому

    this was really good and instructive, thank you very much for the video! ive been studying with quarteroni's numerical mathematics book and sometimes its too raw and i cant visualize how to do the code, this helped me a lot!

    • @GregWintherArtist
      @GregWintherArtist 2 роки тому

      Thanks for you nice comment! I am not familiar with that book, but looking at the contents it seems very abstract :/

  • @tanishqsharma8765
    @tanishqsharma8765 2 роки тому

    soooo helpful

  • @jacintha1000
    @jacintha1000 2 роки тому

    Thanks for sharing this knowledge.

  • @patrikd2645
    @patrikd2645 2 роки тому

    What writing tablet do you use or recommend for mathematics? :) Love your vids /applied mathematician from Gothenburg

    • @GregWintherArtist
      @GregWintherArtist 2 роки тому

      Hi! I use the iPad Pro, myself, but most of the academics I know have opted for the Remarkable 2. I think it is the better choice for note-taking and doing maths, but I sometimes do other stuff on my tablet that requires a bit of colour, which is why I opted for an iPad.

  • @JonathonRiddell
    @JonathonRiddell 3 роки тому

    Great video! Did you interview anyone from Canada? In my undergraduate degree we had a somewhat sparse amount of professors looking to integrate coding into our courses and to be honest, before my first dedicated course on coding, I found these portions of the courses really confusing. Where I went to the school the first big (dedicated) exposure to coding takes place in third year for Physics students, which seems a bit late. I definitely owe my computational side to the Math department for my undergraduate degree.

  • @kathanshah8305
    @kathanshah8305 3 роки тому

    69 th video Nice

  • @crystal_royal3405
    @crystal_royal3405 3 роки тому

    Remember me when you become famous

  • @ivieporto
    @ivieporto 3 роки тому

    Hey! You could do more videos about PhD life at Oslo

  • @namanvats9547
    @namanvats9547 3 роки тому

    Will you be willing to share the code of your lil simulations ? It would help us to learn alot I think

  • @sam314
    @sam314 3 роки тому

    I have a question : I start my masters this year and need to invest in a computer. Can I get a windows machine and use WSL and docker (efficiently) rather than getting a mac? Or is mac the way to go?

    • @GregWintherArtist
      @GregWintherArtist 3 роки тому

      Some people have really strong opinions about this topic. :p I don't think running windows should pose a problem. I have done it myself for a while. If you do run into an arrogant TA or an ignorant professor saying "Running C++ with Armadillo on windows is _impossible_" then they are lying. That illustrates an important point, though; computer scientists and computationally oriented natural scientists usually prefer a UNIX/linux-like system. This means it can be difficult to get help or support. Which in turn can be a good thing (in the long term)! Learning is best when you figure stuff out on your own. OK rant over.

    • @sam314
      @sam314 3 роки тому

      @@GregWintherArtist Thank You so much man. Really Appreciate it.

  • @sam314
    @sam314 3 роки тому

    Physics on a Computer... I love it.