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numerical-mooc

A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.

numpy-beginner-to-advanced

numpy

ob_pysh-db

pysh-db - The Data Science Toolkit (DSK)

officemalware

og-aws

📙 Amazon Web Services — a practical guide

openvis2016

These are the slides and visualization examples that I presented during the OpenVis conference at Boston on April 25th 2016 for my talk “SVGs beyond mere shapes”

osintrealtimecnd

Proactive Computer Network Defense Strategy - OSINT Real Time Threat Stream - Social/DarkNet - Data Mining

owslib-sos-example

Python notebook using owslib (sos2, waterml2) to retrieve time-series data

pandas-time-series-data-basics

The Pandas library provides simple, but powerful tools to perform any data tasks, especially when it comes to time series data. In this notebook I will be covering 3 basic functionalities for manipulating time series data: Date Ranges, DatetimeIndex & Timestamps and Resampling.

penn-ml-benchmarks

A large, curated repository of benchmarks for evaluating supervised machine learning algorithms.

pipeline

PipelineIO: End-to-End ML and AI Platform for Real-time Spark and Tensorflow Data Pipelines

practical-pytorch

Practical PyTorch tutorials, focused on using RNNs for NLP

practical1

https://www.cs.ox.ac.uk/teaching/courses/2016-2017/dl/

projects

:page_with_curl: A list of practical projects that anyone can solve in any programming language.

psims

pycrop

Python implementation of a simple modular 1D crop model.

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pydata-seattle-2015

Pydata Seattle 2015 Trend Estimation in Time Series Signals Deck + Notebooks

pydata2014-mta

Sample data and IPython notebooks for the PyData2014 Time Series Analysis Tutorial

pydy-tutorial-human-standing

PyDy tutorial materials for MASB 2014, PYCON 2014, and SciPy 2014/2015.

pyflux

Open source time series library for Python

pygotham_2016_probabilistic_graphical_models

Presentation + Jupyter Notebook from PyGotham July 2016

pygraphistry

PyGraphistry is library to extract, transform, and visually explore big graphs

pygraphml

Small library to parse GraphML file in Python

pysax

python implementation of SAX (Symbolic Aggregate Approximation) for time series data

pysumo

Python module for running SUMO traffic simulations

pysystemtrade

Systematic Trading in python

python-anti-patterns

A presentation of commonly observed beginner-mistakes.

python-cookbook

Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.

python-for-signal-processing

Notebooks for "Python for Signal Processing" book