PyScript
PyScript is a framework that allows users to create rich Python applications in the browser using HTML’s interface. PyScript aims to give users a first-class programming language that has consistent styling rules, is more expressive, and is easier to learn.
pyscript.net
PyScript is a framework that allows users to create rich Python applications in the browser using HTML’s interface. PyScript aims to give users a first-class programming language that has consistent styling rules, is more expressive, and is easier to learn.
pyscript.net
script.py
530 B
For language lerners:
If you want to extract only text from subtitle files and remove the time stamps use this:
python [script.py] [folder/with/subtitles]
Credit: ajatt
If you want to extract only text from subtitle files and remove the time stamps use this:
python [script.py] [folder/with/subtitles]
Credit: ajatt
code handbook.pdf
2.5 MB
This handbook is for grad students, postdocs and PIs who do a lot of programming as part of their research. It will teach
you, in a practical manner, how to organize your code so that it is easy to understand and works reliably.
Patrick Mineault Jan 2022
you, in a practical manner, how to organize your code so that it is easy to understand and works reliably.
Patrick Mineault Jan 2022
PhD_job_ad.pdf
497.6 KB
PhD position (f/m/d) in Clinical Computational Neuroscience at the Dept. of Neurology, University
of Bonn
starting in September 2022 (or as agreed on)
of Bonn
starting in September 2022 (or as agreed on)
New 3 yr post-doc in our Systems Neuroscience Group
"Generative models of brain disorders"
Applications open now -> July 15th
Twitter
Application
"Generative models of brain disorders"
Applications open now -> July 15th
Application
Course High-Performance Computing with Python
VIDEO OF THE COURSE: HIGH-PERFORMANCE COMPUTING WITH PYTHON 2021
GitHub
The material and videos for this year will be here shortly after the course.
VIDEO OF THE COURSE: HIGH-PERFORMANCE COMPUTING WITH PYTHON 2021
GitHub
The material and videos for this year will be here shortly after the course.
CSCS
Video of the course: High-Performance Computing with Python 2021
The aim of the course was to show how Python can be used on parallel architectures and how to optimize critical parts of code using various tools.
🔥1
PhD and postdoc Open positions at Technical University of Munich in Germany
Professorship of Computational Neurosciences
Prof. Dr. Julijana Gjorgjieva
Professorship of Computational Neurosciences
Prof. Dr. Julijana Gjorgjieva
Modeling Neural Circuits Made Simple
An updated draft of undergrad-level Computational Neuroscience textbook. @mitpress will keep an open access version available online.
Github
An updated draft of undergrad-level Computational Neuroscience textbook. @mitpress will keep an open access version available online.
Github
GitHub
GitHub - RobertRosenbaum/ModelingNeuralCircuits: Code to accompany the textbook "Modeling Neural Circuits Made Simple"
Code to accompany the textbook "Modeling Neural Circuits Made Simple" - RobertRosenbaum/ModelingNeuralCircuits
Do register for JuliaCon. You’ll receive the details on how to join the discord channel where all the conversation will happen during the conference, and other updates. https://juliacon.org/2022/tickets/
JuliaCon 2022
Julia workshop LIVE
https://www.youtube.com/watch?v=uiQpwMQZBTA
https://github.com/storopoli/Julia-Workshop
https://www.youtube.com/watch?v=uiQpwMQZBTA
https://github.com/storopoli/Julia-Workshop
YouTube
Introduction to Julia | Jose Storopoli | JuliaCon 2022
This workshop is geared towards anyone who wants to start using Julia. It will be an extremely accessible overview of Julia. You can download Julia here: https://julialang.org/downloads/
Ask questions during the workshop: https://pigeonhole.at/JULIA1 …
Ask questions during the workshop: https://pigeonhole.at/JULIA1 …
Job Ad:
I am looking for a postdoc researcher with an initial appointment of 1.5 years, which may be extendable to November 2025. The work location is the State University of New York at Buffalo, Buffalo, NY, USA. The PI is Naoki Masuda
www.naokimasuda.net
https://lnkd.in/gtUrtnhi
and the postdoc will be housed in the Department of Mathematics, which I belong to.
The project is on the "energy landscape analysis" of neuroimaging (particularly functional MRI, also perhaps MEG) data.
We have been developing and applying this analysis tool for neuroimaging data
With this project, we will further deploy and develop (depending on the candidate's expertise) these methods to various data in health and disease contexts. The original method is founded on the Ising model and somewhat related to networks. Our plan is to not to stick to the Ising model and try to incorporate other techniques including temporal network methods, which is my expertise.
Experience in data analysis (including PhD in a related field such as network science, (computational) brain/neuro- science, medicine, biology, computer science, applied mathematics, physics) and good communication skills are indispensable. However, expertise in fMRI data analysis, neuroscience, statistical physics underlying the energy landscape analysis (undergraduate level or higher statistical physics knowledge), and/or applied mathematics is not mandatory, while it is certainly a plus.
If you are interested or have any queries, please send your CV to Naoki Masuda at naokimas@gmail.com. I prefer the job start date to be asap but am flexible.
Link to post
I am looking for a postdoc researcher with an initial appointment of 1.5 years, which may be extendable to November 2025. The work location is the State University of New York at Buffalo, Buffalo, NY, USA. The PI is Naoki Masuda
www.naokimasuda.net
https://lnkd.in/gtUrtnhi
and the postdoc will be housed in the Department of Mathematics, which I belong to.
The project is on the "energy landscape analysis" of neuroimaging (particularly functional MRI, also perhaps MEG) data.
We have been developing and applying this analysis tool for neuroimaging data
With this project, we will further deploy and develop (depending on the candidate's expertise) these methods to various data in health and disease contexts. The original method is founded on the Ising model and somewhat related to networks. Our plan is to not to stick to the Ising model and try to incorporate other techniques including temporal network methods, which is my expertise.
Experience in data analysis (including PhD in a related field such as network science, (computational) brain/neuro- science, medicine, biology, computer science, applied mathematics, physics) and good communication skills are indispensable. However, expertise in fMRI data analysis, neuroscience, statistical physics underlying the energy landscape analysis (undergraduate level or higher statistical physics knowledge), and/or applied mathematics is not mandatory, while it is certainly a plus.
If you are interested or have any queries, please send your CV to Naoki Masuda at naokimas@gmail.com. I prefer the job start date to be asap but am flexible.
Link to post
lnkd.in
LinkedIn
This link will take you to a page that’s not on LinkedIn
1658327882844.mp4
249.4 KB
Making specific sound when code reaches a line.
>>> import chime
>>> chime.success()
>>> chime.warning()
>>> chime.error()
>>> chime.info()
Github
>>> import chime
>>> chime.success()
>>> chime.warning()
>>> chime.error()
>>> chime.info()
Github
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Installing Julia on Ubuntu, evoke from terminal:
https://t.me/scientific_programming
https://t.me/scientific_programming