Tags: python

Description

Python.org

Python is a high-level, general-purpose programming language. It is useful for scientific programming, data science, and can be used within Jupyter Notebooks.

Python.org website.

All Categories (21-40 of 65)

  1. Learning Python 3 using "Python for Everybody" with nanoHUB Jupyter Notebooks

    Teaching Materials | 06 Jul 2021 | Contributor(s):: Tanya Faltens

    This document provides instructions for setting up your nanoHUB file structure and using Jupyter notebooks in nanoHUB to go through the online course, "Python for Everybody".This course is free and readily available, but may not be what you are looking for.For a shorter tutorial...

  2. The Jupyter Dashboard, Notebook and Terminal Interfaces in nanoHUB

    Teaching Materials | 06 Jul 2021 | Contributor(s):: Tanya Faltens

    This document describes the functionalities and appearance of the Jupyter Dashboard, Notebook and Terminal interfaces in nanoHUB.

  3. Getting Started with Jupyter Notebooks in nanoHUB

    Series | 06 Jul 2021 | Contributor(s):: Tanya Faltens

    These tutorials will introduce you to using Jupyter notebooks in nanoHUB and provide you with foundational information that will support learning coding and using more advanced Jupyter notebook tools and apps that are published in nanoHUB.

  4. The Materials Simulation Toolkit for Machine Learning (MAST-ML): Automating Development and Evaluation of Machine Learning Models for Materials Property Prediction

    Online Presentations | 25 Jun 2021 | Contributor(s):: Ryan Jacobs

    This tutorial contains an introduction to the use of the Materials Simulation Toolkit for Machine Learning (MAST-ML), a python package designed to broaden and accelerate the use of machine learning and data science methods for materials property prediction.

  5. Python Tutor

    Collections | 21 May 2021 | Posted by Tanya Faltens

    https://nanohub.org/members/29294/collections/ncn-ure

  6. IPython Notebooks for Machine Learning

    Collections | 21 May 2021 | Posted by Tanya Faltens

    https://nanohub.org/members/29294/collections/ncn-ure

  7. A Batch Reification/Fusion Optimization Framework for Bayesian-based Material Optimization

    Tools | 27 Apr 2021 | Contributor(s):: Richard Couperthwaite, Raymundo Arroyave

    This tool is a Bayesian optimization framework that allows for a combination of a multi-fidelity (Reification/Fusion) optimization approach with a Batch Bayesian Approach.

  8. Mihir Gaglani

    My encounter with Li-ion batteries happened during my Masters and I almost fall for it. I'm currently working as a battery modeling engineer at Nunam.A battery modeling engineer is quite a...

    https://nanohub.org/members/320848

  9. Recursive algorithm for NEGF in Python GPU version

    Downloads | 02 Feb 2021 | Contributor(s):: Ning Yang, Tong Wu, Jing Guo

    This folder contains two Python functions for GPU-accelerated simulation, which implements the recursive algorithm in the non-equilibrium Green’s function (NEGF) formalism. Compared to the matlab implementation [1], the GPU version allows massive parallel running over many cores on GPU...

  10. Krishna Sai Kaligotla

    https://nanohub.org/members/308153

  11. Hands-On Data Science and Machine Learning in Undergraduate Education

    Courses | 07 Oct 2020 | Contributor(s):: Alejandro Strachan, Saaketh Desai, Juan Carlos Verduzco Gastelum, Michael N Sakano, Zachary D McClure, Joseph M. Cychosz, Jared Gray West

    This series of modules introduce key concepts in data science in the context of application in materials science and engineering.

  12. sayedul islam

    https://nanohub.org/members/301108

  13. Sebastian Rivas

    https://nanohub.org/members/296706

  14. Jul 27 2020

    CompuCell3D 15th User Training Workshop

    Goal:By the end of this two-week course, participants will have implemented a basic simulation of their particular biological problem of interest. Post-course support and collaboration will be...

    https://nanohub.org/events/details/1835

  15. Jeff Scully

    I graduated with a my Bachelors in Physics from UMKC, while I may be stepping away from going forward in my degree at the moment I want to stay sharp and be ready when I can start my masters in...

    https://nanohub.org/members/287988

  16. Running a Python 3 Script in a nanoHUB Jupyter Notebook

    Online Presentations | 01 May 2020 | Contributor(s):: Tanya Faltens

    This tutorial will show you how to create and run Python 3 code in a Jupyter notebook, rather than creating and running a Python script. We are working along with Chapter 1.8 “Writing a program” in the Python for Everybody course. In this lesson they execute a Python script that...

  17. Nicole Shuman

    Nicole is currently pursuing her graduate degree in Materials Science and Engineering from the University of Florida (expected Dec. 2022 graduation). She graduated from the University of...

    https://nanohub.org/members/277421

  18. A Python Script to Generate an Eigenvalue Spectrum from the EIG File (SIESTA)

    Downloads | 06 Jan 2020 | Contributor(s):: Kamalpreet Singh

    EIG Plot - Eigenvalue spectrum Generation This script automatically plots the .EIG file generated by the SIESTA (Spanish Initiative for Electronic Simulations with Thousands of Atoms) program to see the eigenvalue spectrum to visualize the spread of eigenvalues.

  19. A Python Script for Siesta Structure/Coordinate Block Generation

    Downloads | 06 Jan 2020 | Contributor(s):: Kamalpreet Singh

    Siesta Structure/Coordinate Block Generation This script will read a .xyz file and prepare a coordinate file for Siesta. The coordinate block can be copied directly to the clipboard or saved as a text file.

  20. A Python Script For Energy Diagram Generation (CP2K NEB)

    Downloads | 16 Dec 2019 | Contributor(s):: Kamalpreet Singh, Oleksandr Voznyy

    This python script utilizes the .ener file generated by an NEB calculation performed in CP2K (quantum chemistry and solid-state physics software package) to generate the corresponding energy diagram alongside the appropriate raw data.