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Resources for developers using Python for scientific computing and quantitative analysis

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Latest Resources in Python

Python

PySpark – Next generation cluster computing engine youtube.com

Published May 5, 2015 under Data Science

Apache Spark, Data Science, Python

Python Web Development with Flask youtube.com

Published May 5, 2015 under Python

Flask, Python, Web Development

Optimization with IPython robotwhale.wordpress.com

Published May 5, 2015 under Python

iPython, Optimization, Python

Telling Technology Stories with IPython Notebook youtube.com

Published May 5, 2015 under Python

Python

The Python IAQ: Infrequently Answered Questions #python norvig.com

Published May 3, 2015 under Python

Python

Seaborn: statistical data visualization in Python stanford.edu

Published May 3, 2015 under Python

Data Visualization, Python, Statistics

Anti-Patterns in Python Programming lignos.org

Published May 2, 2015 under Python

Python

Building Models for Time Series Analysis in Python endgame.com

Published May 2, 2015 under Python

Python, Time Series

A Guide To Building Python Apps For Controlling Your Robot letsmakerobots.com

Published May 2, 2015 under Python

Python

Contour Plots With Python and Plotly wired.com

Published May 2, 2015 under Python

Data Visualization, Python

The Forgotten Optional else in Python Loops shahriar.svbtle.com

Published May 2, 2015 under Python

Python

Python for Exploratory Computing mbakker7.github.io

Published May 2, 2015 under Python

Python

Probabilistic Programming in Python twiecki.github.io

Published May 2, 2015 under Python

Python

Managing Large Datasets with Python and HDF5 youtube.com

Published May 1, 2015 under Python

Big Data, Python

Python decorators and context managers codefisher.org

Published May 1, 2015 under Python

Python

Python books pythonbooks.revolunet.com

Published April 30, 2015 under Python

Ebook, Free, Python

Data Visualization with D3, Python, and MongoDB adilmoujahid.com

Published April 29, 2015 under Python

MongoDB, Python

PyCon 2015 Scikit-Learn Tutorial Index nbviewer.ipython.org

Published April 29, 2015 under Machine Learning

Data Science, Machine Learning, Python

Research Backtesting Environments in Python with Pandas quantstart.com

Published April 29, 2015 under Trading

Pandas, Python, Trading

Python without an operating system lwn.net

Published April 29, 2015 under Python

Python

Distance metrics benfrederickson.com

Published April 28, 2015 under Machine Learning

Data Science, Machine Learning, Python

Quantopian – Algorithmic Trading in Python quantopian.com

Published April 28, 2015 under Python

Python, Trading

Python and MongoDB as a Market Data Platform slideshare.net

Published April 28, 2015 under Python

MongoDB, Python

Communicating between NodeJS and Python ianhinsdale.com

Published April 28, 2015 under Python

NodeJS, Python

Kalman and Bayesian Filters in Python nbviewer.ipython.org

Published April 28, 2015 under Python

Data Science, Python

Amazon Machine Learning: a real example in Python cloudacademy.com

Published April 27, 2015 under Machine Learning

Machine Learning, Python

Volatility estimators in Python github.com

Published April 25, 2015 under Quant Finance

Python, Quant Finance, Trading, Volatility

DreamPie Python Shell dreampie.org

Published April 25, 2015 under Python

Python

Python in MATLAB in Python vader.cse.lehigh.edu

Published April 25, 2015 under Python

MATLAB, Python

Binary Analysis and Reverse engineering Framework github.com

Published April 25, 2015 under Python

Python

Python Beowulf Cluster Using Antiquated Computers rpiai.com

Published April 24, 2015 under Python

Cluster Computing, Python

Nifty Python Tricks freepythontips.wordpress.com

Published April 24, 2015 under Python

Python

Rodeo – the data centric IDE for Python github.com

Published April 24, 2015 under Python

Data, Data Science, Python

Dockerizing Flask With Compose and Machine realpython.com

Published April 23, 2015 under Python

Devops, Docker, Python

Orange Data Mining orange.biolab.si

Published April 21, 2015 under Data Science

Data Science, Python

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