An_Algorithmic_Introduction_to_Numerical_Simulation_of_Stochastic.pdf
538.9 KB
An Algorithmic Introduction to Numerical Simulation of Stochastic Differential Equations
GITHUB
#SDE
#stochastic
@scientific_programming
GITHUB
#SDE
#stochastic
@scientific_programming
Watch "Developing Julia Packages" on YouTube
https://youtu.be/QVmU29rCjaA
https://youtu.be/QVmU29rCjaA
YouTube
Developing Julia Packages
Have you ever wanted to develop your own package for the Julia programming language? Have you ever wanted to contribute a bug fix? Then this tutorial is for you! I will walk you through getting the community resources (Discourse and Slack) so that you can…
☘️ I have added many examples, mostly about "Kuramoto model" (ODE, SDE) to the workshop Julia repository.
But the examples can be easily transformed to any arbitrary set of differential equations.
🌱 Feel free to look.
The speed up is usually one order of magnitude faster that scipy.odeint, numba and much faster that pure python equivalent.
#julia
#python
#diffeqpy
@scientific_programming
But the examples can be easily transformed to any arbitrary set of differential equations.
🌱 Feel free to look.
The speed up is usually one order of magnitude faster that scipy.odeint, numba and much faster that pure python equivalent.
#julia
#python
#diffeqpy
@scientific_programming
GitHub
Ziaeemehr/workshop_julia
Julia tutorial examples, binding with python. Practical examples in modeling the dynamical systems. - Ziaeemehr/workshop_julia
The Elements of Statistical Learning
https://web.stanford.edu/~hastie/Papers/ESLII.pdf
#learning
#book
@scientific_programming
https://web.stanford.edu/~hastie/Papers/ESLII.pdf
#learning
#book
@scientific_programming
Watch "Learning New Physics With Machine Learning Workshop (June 4, 2020, 9:45am - 1pm EDT)" on YouTube
https://youtu.be/DRh1OlGlRxo
از ساعت 6 و 15 دقیقه عصر پنجشنبه شروع میشه
https://youtu.be/DRh1OlGlRxo
از ساعت 6 و 15 دقیقه عصر پنجشنبه شروع میشه
YouTube
Learning New Physics With Machine Learning Workshop (June 4, 2020, 9:45am - 1pm EDT)
The workshop on "Can machine learning learn new physics, or do we need to put it in by hand?", rescheduled from May 28, will start streaming here on June 4 a...
Python Data Science – A Free 12-Hour Course for Beginners. Learn Pandas, NumPy, Matplotlib, and More
۱۲ ساعت آموزش data science برای تازه کارها
لینک یوتیوب
#python
#data_science
#beginner
@scientific_programming
۱۲ ساعت آموزش data science برای تازه کارها
لینک یوتیوب
#python
#data_science
#beginner
@scientific_programming
freeCodeCamp.org
Python Data Science – A Free 12-Hour Course for Beginners. Learn Pandas, NumPy, Matplotlib, and More.
This free 12-hour Python Data Science course will take you from knowing nothing about Python to being able to analyze data. You'll learn basic Python, along with powerful tools like Pandas, NumPy, and Matplotlib. This is a hands-on course and you wil...
Bridging AI and Cognitive Science (BAICS)
This page contains a non-exhaustive, community-curated list of resources for machine learning practitioners to learn more about cognitive science.
#ML
#cognitive
#resources
@scientific_programming
This page contains a non-exhaustive, community-curated list of resources for machine learning practitioners to learn more about cognitive science.
#ML
#cognitive
#resources
@scientific_programming
Computational neuroscience resources
On this page is a list of resources for learning computational neuroscience that are freely available online.
#resources
#computational_neuroscience
@scientific_programming
On this page is a list of resources for learning computational neuroscience that are freely available online.
#resources
#computational_neuroscience
@scientific_programming
🔆🔆 WHAT IS HDF5?
HDF5 is a unique technology suite that makes possible the management of extremely large and complex data collections.
The HDF5 technology suite includes:
☘️ A versatile data model that can represent very complex data objects and a wide variety of metadata.
☘️ A completely portable file format with no limit on the number or size of data objects in the collection.
☘️ A software library that runs on a range of computational platforms, from laptops to massively parallel systems, and implements a high-level API with C, C++, Fortran 90, Java, Julia and Python interfaces.
☘️ A rich set of integrated performance features that allow for access time and storage space optimizations.
Tools and applications for managing, manipulating, viewing, and analyzing the data in the collection.
در قالب h5 میشه داده ها رو به صورت سلسله مراتبی ذخیره کرد. بنابراین محدودیتی برای ذخیره نوع فایل وجود نداره. در یک فایل میتونید ترکیبی از صوت، تصویر و متن رو به صورت باینری و با سرعت بالای خواندن و نوشتن ذخیره کنید. همچنین نگرانی ای بابت خواندن فایل در محیط های مختلف و زبان های برنامه نویسی مختلف هم وجود نداره. میشه فایل رو مثلا در سی پلاس یا جولیا نوشت و در پایتون خواند یا هر ترکیب دلخواه دیگه.
ورژن های مختلف کتابخانه ها با ورژن های قبلی سازگارند و فایل های قدیمی همچنان قابل خواندن هستند. مثال های بیشتر در اینجا در دسترس اند.
Read more
#hdf5
#python
#IO
@scientific_programming
HDF5 is a unique technology suite that makes possible the management of extremely large and complex data collections.
The HDF5 technology suite includes:
☘️ A versatile data model that can represent very complex data objects and a wide variety of metadata.
☘️ A completely portable file format with no limit on the number or size of data objects in the collection.
☘️ A software library that runs on a range of computational platforms, from laptops to massively parallel systems, and implements a high-level API with C, C++, Fortran 90, Java, Julia and Python interfaces.
☘️ A rich set of integrated performance features that allow for access time and storage space optimizations.
Tools and applications for managing, manipulating, viewing, and analyzing the data in the collection.
در قالب h5 میشه داده ها رو به صورت سلسله مراتبی ذخیره کرد. بنابراین محدودیتی برای ذخیره نوع فایل وجود نداره. در یک فایل میتونید ترکیبی از صوت، تصویر و متن رو به صورت باینری و با سرعت بالای خواندن و نوشتن ذخیره کنید. همچنین نگرانی ای بابت خواندن فایل در محیط های مختلف و زبان های برنامه نویسی مختلف هم وجود نداره. میشه فایل رو مثلا در سی پلاس یا جولیا نوشت و در پایتون خواند یا هر ترکیب دلخواه دیگه.
ورژن های مختلف کتابخانه ها با ورژن های قبلی سازگارند و فایل های قدیمی همچنان قابل خواندن هستند. مثال های بیشتر در اینجا در دسترس اند.
Read more
#hdf5
#python
#IO
@scientific_programming
GitHub
Ziaeemehr/workshop_scripting
Scientific programming toolbox with python. Contribute to Ziaeemehr/workshop_scripting development by creating an account on GitHub.
SciencePlots: Matplotlib styles for scientific plotting
SciencePlots
#python
#matplotlib
@scientific_programming
SciencePlots
#python
#matplotlib
@scientific_programming
NEST Conference 2020: A Virtual Forum for Users and Developers
10 June 2020 — Deadline for NEST Initiative membership application
22 June 2020 — Registration deadline
#conference
@scientific_programming
10 June 2020 — Deadline for NEST Initiative membership application
22 June 2020 — Registration deadline
#conference
@scientific_programming