In this lesson we use Git from the Unix Shell. Some previous experience with the shell is expected, but is not mandatory.
Alternatively, this course can be followed on Windows using Git Bash. All of the commands shown will work on Windows using Git Bash, with the exception of the nano command. nano is a common text editor on Linux: Windows users should use the notepad command instead, and set notepad as the core editor when configuring Git.
You will need a GitHub account for this session. Please sign up for an account if you do not already have one.

Link: Introduction-to-git-and-github

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What is interdisciplinarity? Views from students and professors in a non-major intro physics course

Ian Descamps, Thomas Moore, Benjamin Pollard

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We present an investigation into the interdisciplinary role of physics in a physics-for-non-physicists course at Pomona College. This work is guided by prior research into introductory physics for life-science (IPLS) courses, but attends to significant differences in the scope and context of this course. We interviewed enrolled students, physics professors, and professors from non-physics disciplines to explore the function of this course and the role of physics in the education of non-physics-science students. Interviews were audio recorded and transcribed, then analyzed to identify emergent themes. These themes outline the authentic physics, including content knowledge and other, broader learning objectives, that play an important and distinct role in the science education of enrolled students. Stakeholders generally align in their emphasis of interdisciplinary relevance with some divergence in the specific articulation of that idea. The differences can be understood through the stakeholders' distinct areas of expertise, with non-physics professors expressing value through relevance to their discipline and physics professors focusing on essential aspects of physics.

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عملکرد مشابه سایت سای هاب دارد.
gen.lib.rus.ec/

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Bioinformation related to COVID-19. Site developed and maintained by China National Center for Bioinformation. Collection of sequences, genome variations, publication, clinical resource data.
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Link: Bioinformatics-COVID19

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The Neuroscience Information Framework is a dynamic inventory of Web-based neuroscience resources: data, materials, and tools accessible via any computer connected to the Internet. An initiative of the NIH Blueprint for Neuroscience Research, NIF advances neuroscience research by enabling discovery and access to public research data and tools worldwide through an open source, networked environment.

Link: Neuroscience Information Framework

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Link: YouTube

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Link: Twitter

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MAY, R. M. (1972). Will a Large Complex System be Stable? Nature, 238(5364), 413–414. doi:10.1038/238413a0

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The goal of the NeuroElectro Project is to extract information about the electrophysiological properties (e.g. resting membrane potentials and membrane time constants) of diverse neuron types from the existing literature and place it into a centralized database.

Link: NeuroElectro

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https://www.youtube.com/watch?v=BucMrSUy0I8

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Denoscription:
• Projection of NeuroElectro neuron types onto space defined by the first 2 electrophysiology principal components which collectively represent ~70% of variance. Neuron types are indicated by circles and circle size is proportional to number of corresponding articles indexed in NeuroElectro database.

Interactivity:
• Click on neuron types to go to corresponding neuron page.
• Zoom in on a section of plot by dragging cursor. Zoom out by double clicking on plot.

Link: NeuroElectro

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Course Denoscription
Time series data is all around us; some examples are the weather, human behavioral patterns as consumers and members of society, and financial data. In this course, you'll learn how to calculate technical indicators from historical stock data, and how to create features and targets out of the historical stock data. You'll understand how to prepare our features for linear models, xgboost models, and neural network models. We will then use linear models, decision trees, random forests, and neural networks to predict the future price of stocks in the US markets. You will also learn how to evaluate the performance of the various models we train in order to optimize them, so our predictions have enough accuracy to make a stock trading strategy profitable.

Link: Machine Learning for Finance in Python

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Create stunning plots is not that hard you think. You just need to do some tricks that I didn’t see people use them that much.

Link: Visualisation with python

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Git cheatsheet

Link: Git

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Initiative Q is an attempt by ex-PayPal guys to create a new payment system instead of payment cards that were designed in the 1950s. The system uses its own currency, the Q, and to get people to start using the system once it's ready they are allocating Qs for free to people that sign up now (the amount drops as more people join - so better to join early). Signing up is free and they only ask for your name and an email address. There's nothing to lose but if this payment system becomes a world leading payment method your Qs can be worth a lot. If you missed getting bitcoin seven years ago, you wouldn't want to miss this.

Here is my invite link: Invite-link

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Measurements and Data Analysis for Agricultural Engineers Using Python
by Matti Pastell

Link: PyAgEng

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The Way You’re Currently Sitting Reveals Everything About Your Personality

Even if your job doesn’t require you to spend a lot of time behind a desk, there’s a good chance that you spend a lot of time sitting on the couch, at the kitchen table, or in a comfy arm chair.
While sitting for too long can have some adverse side effects on our health and well-being (be sure to stand or walk for 10 to 20 minutes every hour!), there’s something about sitting that few people realize…
The way you sit actually says a lot about your personality!

Link: LittleThings

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These mini-lectures are designed around a class that I occasionally teach, as well as my book Analyzing Neural Time Series Data: Theory and Practice (2014, MIT Press). Each lecture is between ~5 and ~30 minutes, although some are longer because the material is more complex. My lecture slides are not available for download, so please do not ask for them.

Link: Mike X Cohen

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Introduction to Neuroimaging

Measuring in-vivo brain activity from humans is an extraordinary feat. What is Neuroimaging? and What can we learn about the brain using this technique?
In this section, we will provide an overview of the course and a very introductory overview of the different types neuroimaging and a few examples of different types of things we can do with BOLD fMRI.

Link: Neuroimaging

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