Complex Systems Studies
📺 https://youtu.be/81h27IdKHoE
FREE summer lecture series! 😱 Join this free and open to the public lecture series where faculty share their perspective on the COVID-19 pandemic.
https://t.co/AU3goKxBXX
https://t.co/AU3goKxBXX
clas.ucdenver.edu
COVID-19: COLORADO & BEYOND | CLAS Continuing & Professional Education | University of Colorado Denver
ICME Fundamentals of Data Science summer workshops will be offered online this year from August 17-22, 2020. These one-day workshops cover a wide range of topics, from Machine Learning to Programming in Python. For more information, please visit https://t.co/Uo93Uc1INU
Twenty Years of Network Science: A Bibliographic and Co-Authorship Network Analysis, by Roland Molontay and Marcell Nagy https://t.co/ABb7Ra7UC1. The authors define a "network scientist" as someone who has published at least 1 paper that cites at least 1 of the following 3 papers https://t.co/9pySMQh72j
Cp2AZd3V52nIuMQ5WiwV8vg7uuLc6UKjRsA3VZH6ObM.gif
546.8 KB
شبیه سازی آشوب در آونگ سهگانه با پایتون:
Triple Pendulum CHAOS!
https://jakevdp.github.io/blog/2017/03/08/triple-pendulum-chaos/
Triple Pendulum CHAOS!
https://jakevdp.github.io/blog/2017/03/08/triple-pendulum-chaos/
Frequentism and Bayesianism:
5-part series: Part I, Part II, Part III, Part IV, Part V
See also Frequentism and Bayesianism: A Python-driven Primer, a peer-reviewed article partially based on this content.
5-part series: Part I, Part II, Part III, Part IV, Part V
See also Frequentism and Bayesianism: A Python-driven Primer, a peer-reviewed article partially based on this content.
jakevdp.github.io
Frequentism and Bayesianism: A Practical Introduction | Pythonic Perambulations
جادی، کیبورد آزاد - Jadi
نوشتن برنامه «بازی زندگی» با زبان سی، به یاد کانوی و اتوماتای سلولی جان کانوی از کرونا مرد. ریاضی دانی که «بازی زندگی» رو در حوزه اتوماتای سلولی طراحی کرد و بخشی از نوجوونی منو به خود مشغول کرد. توی این ویدئو کمی در مورد مفهوم و این بازی «صفر بازیکنه» توضیح…
Conway's Game of Life in Python
In 1970 the British Mathematician John Conway created his "Game of Life" -- a set of rules that mimics the chaotic yet patterned growth of a colony of biological organisms. The "game" takes place on a two-dimensional grid consisting of "living" and "dead" cells, and the rules to step from generation to generation are simple.
I was thinking about classic problems that could be used to demonstrate the effectiveness of Python for computing and visualizing dynamic phenomena, and thought back to a high school course I took where we had an assignment to implement a Game Of Life computation in C++. If only I'd had access to IPython and associated tools back then, my homework assignment would have been a whole lot easier!
Here I'll use Python and NumPy to compute generational steps for the game of life, and use my JSAnimation package to animate the results.
https://jakevdp.github.io/blog/2013/08/07/conways-game-of-life/
In 1970 the British Mathematician John Conway created his "Game of Life" -- a set of rules that mimics the chaotic yet patterned growth of a colony of biological organisms. The "game" takes place on a two-dimensional grid consisting of "living" and "dead" cells, and the rules to step from generation to generation are simple.
I was thinking about classic problems that could be used to demonstrate the effectiveness of Python for computing and visualizing dynamic phenomena, and thought back to a high school course I took where we had an assignment to implement a Game Of Life computation in C++. If only I'd had access to IPython and associated tools back then, my homework assignment would have been a whole lot easier!
Here I'll use Python and NumPy to compute generational steps for the game of life, and use my JSAnimation package to animate the results.
https://jakevdp.github.io/blog/2013/08/07/conways-game-of-life/
jakevdp.github.io
Conway's Game of Life in Python | Pythonic Perambulations
This media is not supported in your browser
VIEW IN TELEGRAM
Optimization of Scientific Code with Cython: Ising Model
https://jakevdp.github.io/blog/2017/12/11/live-coding-cython-ising-model/
https://jakevdp.github.io/blog/2017/12/11/live-coding-cython-ising-model/
Forwarded from Hermana
〽️آیا از اینکه خوب مفاهیم آمار و احتمال رو متوجه نمیشوید، خسته شدهاید؟ پس این صفحه حتما به دردتون میخوره :)
پ ن: واقعا چینیها خوبن، تا یک چیز خوبی درست میشه، سریع به چینی هم ترجمه میکنن که مردمانشون استفاده کنن ....
https://seeing-theory.brown.edu/#firstPage
پ ن: واقعا چینیها خوبن، تا یک چیز خوبی درست میشه، سریع به چینی هم ترجمه میکنن که مردمانشون استفاده کنن ....
https://seeing-theory.brown.edu/#firstPage
seeing-theory.brown.edu
Seeing Theory
A visual introduction to probability and statistics.
Very strong start of the virtual KITP program "Biological Physics of Chromosomes". https://t.co/5AEnc3UsD6 Looking forward to a month of exciting talks and discussions!
Ellis QPhML 2020
https://ellisqphml.github.io/qphml2020
This conference is a hidden gem on physics & ML with a great lineup. Full of physicists who worked on ML its theory or its quantum aspects for decades.
https://ellisqphml.github.io/qphml2020
This conference is a hidden gem on physics & ML with a great lineup. Full of physicists who worked on ML its theory or its quantum aspects for decades.
Crazy fast code for SIR on temporal networks
https://petterhol.me/2018/07/23/crazy-fast-code-for-sir-on-temporal-networks/
Fastest network-SIR code in the East
https://petterhol.me/2018/02/07/fastest-network-sir-code-in-the-east/
https://petterhol.me/2018/07/23/crazy-fast-code-for-sir-on-temporal-networks/
Fastest network-SIR code in the East
https://petterhol.me/2018/02/07/fastest-network-sir-code-in-the-east/
Petter Holme
Crazy fast code for SIR on temporal networks
Now I turned this blog post into an arXiv preprint: This is a follow-up to my post a couple of days ago about all the nitty-gritty when coding up a compartmental model for empirical temporal networ…
Just released a #python porting of multinet library: https://t.co/Ztmv86q3UY Resources (including an example notebook): https://t.co/eKCcumppLN Comments/feedback welcome, code & issues here: https://t.co/aWd8hdq2Yy
💰 I am looking for a #postdoc to join the research group on Social Complexity and Collapse at the #CSHVienna: https://t.co/pIUIu43UXL
Here's the position description:
https://t.co/fWON3Yp9RP
Please spread the word!
Here's the position description:
https://t.co/fWON3Yp9RP
Please spread the word!
The listed of Invited Speakers has been posted for Conference on Applications of Dynamical Systems (#SIAMDS21, #SnowbirdForever): https://t.co/AscRd3jUNy
Statistical physics and machine learning with David J. Schwab, (The Graduate Center, CUNY)
Part I:
Part II:
🔸About the lecture
🔹 Adventures in the Theoretical Sciences
Part I:
Part II:
🔸About the lecture
🔹 Adventures in the Theoretical Sciences
YouTube
Part 1: Statistical physics and machine learning with David J. Schwab
June 18, 2020 "Statistical physics and machine learning" David J. Schwab (The Graduate Center, CUNY). Adventures in the Theoretical Sciences is an informal, online summer lecture series for advanced undergraduate and graduate students. #AdventuresinTheory…