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NLTK

NLTK

The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs statistical natural language processing (NLP) for the Python. NLTK includes graphical demonstrations and sample data.NLTK has been used successfully as a platform for prototyping and building research systems.

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Tanya Faltens onto Python and Jupyter Notebooks

matplotlib

matplotlib

matplotlib is a plotting library for NumPy. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like wxPython, Qt, or GTK+.

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Tanya Faltens onto Python and Jupyter Notebooks

SciPy

SciPy

SciPy is widely used in scientific and technical computing. SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.

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Tanya Faltens onto Python and Jupyter Notebooks

NumPy

NumPy

NumPy is an open source extension module for Python. The module NumPy provides fast precompiled functions for numerical routines.

It adds support to Python for large, multi-dimensional arrays and matrices. Besides that it supplies a large library of high-level mathematical functions to operate on these arrays

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Mlpy

Mlpy

Mlpy is a Python machine learning library built on top of NumPy/SciPy, the GNU Scientific Library. mlpy provides a wide range of  machine learning methods for supervised and unsupervised problem.mlpy is multi platform, it works with Python 2 and 3.

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scikit-learn

scikit-learn

scikit-learn is an open source library for the Python. It features various classification, regression and clustering algorithms including support vector machines, logistic regression, naive Bayes, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.

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Tanya Faltens onto Python and Jupyter Notebooks

Statsmodels

Statsmodels

Statsmodels is a Python module that allows users to explore data, estimate statistical models, and perform statistical tests. An extensive list of descriptive statistics, statistical tests, plotting functions, and result statistics are available for different types of data and each estimator.

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Tanya Faltens onto Python and Jupyter Notebooks

Pandas

Pandas

Pandas is a library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. Pandas is free software released under the three-clause BSD license

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Tanya Faltens onto Python and Jupyter Notebooks

Making Nano Work for Us

A 3.5 minute video giving an overview of nano: what it is, how it can be applied, and how we are working to bridge the gap between what we know and what we don't know in order to minimise and manage risk.

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By completing the PN-Junction Lab in ABACUS – Assembly of Basic Applications for Coordinated Understanding of Semiconductors, users will be able to: a) conduct drift-diffusion modeling, b) describe the physical and mathematical operation of PN-Junctions, and c) build and validate a simple PN…

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Manny Xavier de Jesus Lopez onto pn junction

S4 is a frequency domain code to solve layered periodic structures. Internally, it uses Rigorous Coupled Wave Analysis (RCWA; also called the Fourier Modal Method (FMM)) and the S-matrix algorithm.

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Tanya Faltens onto content to share in a group

We describe the growth, processing, and characteristics of self‐assembled and patterned quantum dot and nanopore lasers that exhibit interesting effects arising from reduction of the active medium to the quantum regime (

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S M Enamul Hoque Yousuf onto Quantum Dots

{xhub:include type=“stylesheet” filename=“home.css”} Do More Resources Find the latest cutting-edge research in our resources. Citations See who has cited nanoHUB.org content in their work. Tags Explore all our content through tags or even tag content yourself. Questions & Answers Get your…

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Nagamalli Arasavalli onto nano sensors

A free two-part series of online courses covering the principles and practice of atomic force microscopy.

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Luca Anzi onto Da vedere

A FREE five week course exploring the next generation of optical and opto-electronic systems.

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Luca Anzi onto Da vedere

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Luca Anzi onto Da vedere

Instructor: Mark Lundstrom

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Luca Anzi onto Da vedere

From smartphones to satellites, semiconductors are everywhere. Tying together physics, chemistry, and electrical engineering, this easy-to-follow introduction provides the background needed to…

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Luca Anzi onto Da vedere

In this tutorial, I will present a brief overview of the ways that transmission electron microscopy can be used to characterize nanoscale materials. This tutorial will emphasize what TEM does well, as well where difficulties arise. In particular, I will discuss in an overview manner how diffraction, imaging and spectroscopy function in the TEM, and how these techniques can be combined to provide a detailed characterization of nanoscale structures. Some emphasis on sample preparation requirements, image artifacts and low sampling statistics will be detailed as well. I hope that at the end of this brief tutorial, you will have a better sense as to when the TEM might help you answer particular questions in your research.

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Ashley Blackwell onto Nanoscale Phenomena Lectures

Simulate dislocation movement, crack propagation, nanowire tensile tests, and simple phase transitions

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Tanya Faltens onto content to share in a group

This set of lecture notes is intended to help students learn the basics of PN junction theory and modeling.

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Tanya Faltens onto Great Background Tutorials

This is a compendium of demonstrations exploring the properties of materials. Material science is the study of the five classes of material: metals, ceramics/glasses, polymers, semiconductors, and composites, and their applicable properties.  It is an exceedingly important subject because…

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Tanya Faltens onto Textbooks and Tutorials

tool to generate mif document automatically

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chilla CHANG onto oommf