"Python and Jupyter Notebooks" 13 posts Sort by created date Sort by defined ordering View as a grid View as a list
This great blog on python and Jupyter notebooks, by Peter Kazarinoff, has great practical examples for undergraduate engineers getting started with coding.
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Tanya Faltens onto Python and Jupyter Notebooks @ 5:28 pm on 13 Aug 2022
This is a great online resource for instructors that covers many topics related to teaching and learning with Jupyter Notebooks. Project lead by Lorena Barba.
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Tanya Faltens onto Python and Jupyter Notebooks @ 4:46 pm on 30 Aug 2021
A great online book.
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Tanya Faltens onto Python and Jupyter Notebooks @ 1:02 pm on 21 Nov 2020
In this chapter, we will cover the following topics:
Tanya Faltens onto Python and Jupyter Notebooks @ 11:33 am on 21 Nov 2020
Theano
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently
Tanya Faltens onto Python and Jupyter Notebooks @ 11:24 am on 21 Nov 2020
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.
Tanya Faltens onto Python and Jupyter Notebooks @ 11:22 am on 21 Nov 2020
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+.
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.
Tanya Faltens onto Python and Jupyter Notebooks @ 11:21 am on 21 Nov 2020
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
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.
Tanya Faltens onto Python and Jupyter Notebooks @ 11:20 am on 21 Nov 2020
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.
Tanya Faltens onto Python and Jupyter Notebooks @ 11:19 am on 21 Nov 2020
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.
Tanya Faltens onto Python and Jupyter Notebooks @ 11:18 am on 21 Nov 2020
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