💰 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

#Programming
follow: @theTuringMachine

Reconstruction of natural images from responses of primate retinal ganglion cells

Link: BioRXive

#papers
Follow: @theTuringMachine

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

#Programming
follow: @theTuringMachine

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

#Sources
Follow: @theTuringMachine

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
Follow: @theTuringMachine

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
Follow: @theTuringMachine

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
Follow: @theTuringMachine

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
Follow: @theTuringMachine

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
Follow: @theTuringMachine

Does religion has any correlation with the number of births per women?

Link : YouTube

#Youtube
@theTuringMachine

Question:
I'm working on a project at the moment, which I'd like to eventually make public on github, but, for the moment, needs to remain private.
Github needs users to pay in order to host a private repository, which I'm unwilling to do, so just creating a private github repository is not an option for me.

Answer:
I'm dealing with the same thing. Unless that I cannot really have a private project on Github, because of unfair sanctions to some countries. I don't want to repeat the other answers, because they were straight forward, and I'm doing just the same. To add a bit information, if you don't like terminal environment and you don't want to go through every change and record them by your terminal, simply install Atom editor, install the Github plugin, in newer versions the plugin installed from the beginning and you really don't need to worry about it. When you created a folder you can initialize the git by either the Git icon or simply typing in the terminal at the exact directory:

git init

Then, when you add changes to your code or whatever, the git tracks it and you can commit your changes through the Atom editor. The only problem might be that you cannot use all of the commands that are available via terminal, but it's enough to actually work. But you can fill the gaps by using the terminal when you really need other git commands. This plugin is available on other IDEs as well. And works just fine.


Link: StackOverFlow

#Programming
Follow: @theTuringMachine

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

#Programming
Follow: @theTuringMachine