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the Turing Machine
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Join me through the journey of learning Computational Neuroscience topics.
Useful resources, positions and much more!
Get in touch: @nosratullah
Website: nosratullah.github.io
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If you're coming from a Matlab background, you can quickly get up to speed with this cheatsheet. You may also enjoy this paperback on Neural Data Science with both Matlab and Python versions.
https://cheatsheets.quantecon.org
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#Programming
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One of the shortest but practical introduction to neuroscience!
#Neuroscience #reference
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https://www.bna.org.uk/static/uploads/resources/BNA_English.pdf
Dear all,

The NEST Initiative is excited to invite everyone interested in Neural Simulation Technology and the NEST Simulator to the NEST Conference 2020.

This year's conference will take place as a virtual conference on Monday/Tuesday 29/30 June 2020.
 
Important dates
01 June 2020 — Deadline for submission of contributions
08 June 2020 — Notification of acceptance
10 June 2020 — Deadline for NEST Initiative Membership applications (registration is free for members in 2020)
22 June 2020 — Registration deadline
29 June 2020 — NEST Conference 2020 starts
 
https://nest-simulator.org/conference 

#events
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Neurohackademy is a two-week hands-on summer institute in neuroimaging and data science, held at the University of Washington eScience Institute, July 27th – August 7th, 2020. Participants will learn about technologies used to analyze human neuroscience data, and to make analysis and results shareable and reproducible.
The first week is devoted to hands-on lectures and the second week is devoted to participant-directed activities: hackathon and breakout sessions on topics of interest.
Link:
https://neurohackademy.org

#events
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🎲 آزمون '31 Interesting Brain Facts'
🖊 31 سوال · 30 ثانیه
Forwarded from Complex Systems Studies
💰 We have a #postdoc opening on investigating the effects of the COVID-19 pandemic on illicit online trade. Position is to be filled as soon as possible.

https://t.co/gc6FqQSx9j

You will work with: Dr. Andrea Baronchelli, based in the Mathematics Department, Dr. Angela Gallo, from Cass Business School, and Alex Teytelboym, from the Economics Department of Oxford University.
Learn how to do finance with Python, from getting data, to manipulating data, to formulating and testing trading strategies.

Link: Python-for-Finance

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In the fall of 2019, the Python Software Foundation and JetBrains together conducted the official third annual Python Developers Survey. Much like the previous survey, we set out to identify the latest trends and gather insight into what the world of Python development looks like in 2019. The insights from 24 thousand Python developers from more than 150 different countries have helped us get a picture of the Python community.

Link: python-developers-survey-2019

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Robert Johansson is an experienced Python programmer and computational scientist, with a PhD in Theoretical Physics from Chalmers University of Technology, Sweden.

#Sources
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Larry Abbott presentation
LIVE!
#events
https://bit.ly/3cgLcqH
the Turing Machine
Larry Abbott presentation LIVE! #events https://bit.ly/3cgLcqH
Larry F. Abbott (born 1950) is an American theoretical physicist and theoretical neuroscientist, who is currently the William Bloor Professor of Theoretical Neuroscience at Columbia University, where he helped create the Center for Theoretical Neuroscience.

Link: Larry F. Abbott

#Scientists
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Storytelling is an essential skill for us data scientists. To convey our ideas and be persuasive, we need effective communication. And aesthetic visualisations are a great tool for that. In this post, we’ll cover 5 visualisation techniques beyond the classics that can make your data story more aesthetic and effective. We’ll be using Plotly graphic library in python (also available in R), which provides animated and interactive plots with minimum effort.

Link: 5 Visualisations to Level Up Your Data Story

#Programming #Data-science
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About a week ago, someone texted me over the Instagram, and asked me if I have the time to answer the questions. I was curious about the questions and wanted to see those questions. I thought maybe they won’t take time and I can easily pass them with short answers. But I gotta tell, those were solid questions and made me spend a bit more time to answer. Here are the questions and my answers.

Link: Questions about generative art and its future

#articles #spare_time
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This is a great advantage of online learning, the flexibility it provides is just awesome. You
just need a laptop or a smartphone with an internet connection and you can learn
anything.

Link: 15 Free Courses to Learn Python in 2020

#Programming
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There are over 30 beginner Python exercises just waiting to be solved. Each exercise comes with a small discussion of a topic and a link to a solution.

Link: Practice Python

#Programming
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