🔹 Computational Methods in Physics
Department of Physics, Sharif University of Technology, Fall 2017

Lecture Notes are available in Farsi. Here is the list of released ones:

http://sharifcompphys.ir/course-materials/lecture-notes/

Introduction
Fractals
Surface Growth
Percolation
Random Walk
Random Number Generation
Integrating
The Metropolis Algorithm
Canonical Ensemble
Ising Model

🔹 http://ncase.me/crowds/

🔹 https://www.johndcook.com/blog/2018/06/04/relative-error-clt/

🔹 https://www.nature.com/articles/s41567-018-0081-4

به کسانی که قصد انتخاب گرایش سیستم‌های پیچیده در دانشگاه شهید بهشتی رو دارن، پیشنهاد می‌شه این سه نوشته رو بخونند:
🔹 http://facultymembers.sbu.ac.ir/jafari/Complex%20systems/Complex-persian.htm

🔸 http://www.sitpor.org/2017/01/complexsys1/

◽ http://www.sitpor.org/2018/05/complex-systems-basics/

🐛 بعد از کرم الگانس، شبکه سیستم عصبی موجود دیگری هم به دست اومده که اتفاقا اون هم جهان‌کوچک هست:

https://elifesciences.org/articles/22497

A second nervous system has now been fully mapped (along with C. elegans) and it too is a small world. All hail the tadpole larva of a sea squirt, and its marvelously tiny connectome of 177 neurons.
https://t.co/kO3tlEVq5x

The report from the NSF Workshop “Multidisciplinary Complex Systems Research” is now available: https://t.co/LC1Df27GyE
👇

The report from the NSF Workshop “Multidisciplinary Complex Systems Research”

🔹 https://www.edx.org/course/data-analysis-for-social-scientists

🔹 مقدمه‌ای بر تحلیل داده تپولوژیک:
https://dsweb.siam.org/The-Magazine/Article/topological-data-analysis-1

Don't miss #MultiNets2018, Satellite on #NetworkScience for Multidimensional #DataAnalysis at @netsci2018, 11 Jun.

https://comunelab.fbk.eu/MultiNets2018/

👏 Predicting whether a developer uses R or Python

Myself being an avid Python user, I thought it'd be fun to see if based on this survey I could predict whether a given developer uses R or Python - and of course if so, which features allow the classifier to determine that. I'll try to keep the analysis as simple as possible and focus on clarity of code and analysis rather than on creating anything overly complex and detailed.

🔹 Conclusions?
If you do not want to go through the notebook, the quick conclusion is that among data scientists and analysts, Python and R users are pretty similar. It is however possible to create pretty decent classifiers for predicting whether a user uses R or Python, and there are a few funny conclusions and reasonings to be found within those classifiers.
https://www.kaggle.com/nanomathias/predicting-r-vs-python?utm_medium=social&utm_source=twitter.com&utm_campaign=Weekly-Kernel-Awards

💰 Lots of #postdoc positions get posted on this Soft Matter mailing list: https://t.co/CmuJpKMAtF

🔹 https://ed.ted.com/lessons/what-s-the-fastest-way-to-alphabetize-your-bookshelf-chand-john