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Resources for developers using Python for scientific computing and quantitative analysis

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Archives for July 2018

Latest Python Resources (check out PyQuant Books)

Stock Data Analysis with Python wordpress.com

Published July 20, 2018 under Investing

Analysis, Data, Python

Basic Statistics in Python: Probability dataquest.io

Published July 20, 2018 under Statistics

Probability, Python

Foundations of Machine Learning github.io

Published July 20, 2018 under Machine Learning

Tutorial

How to update your scikit-learn code for 2018 dataschool.io

Published July 13, 2018 under Data Science

Python, scikit-learn

Generating Random Data in Python realpython.com

Published July 13, 2018 under Data Science

Data, Python, Random

A Basic Pandas DataFrame Tutorial for Beginners marsja.se

Published July 13, 2018 under Data Science

Pandas, Python

An End-to-End Project on Time Series Analysis and Forecasting with Python towardsdatascience.com

Published July 13, 2018 under Python

Forecasting, Time Series Analysis

Face clustering with Python pyimagesearch.com

Published July 13, 2018 under Computer Vision

Machine Learning, Python

Pandas on Ray – Early Lessons from Parallelizing Pandas berkeley.edu

Published July 9, 2018 under Data Science

Pandas, Parallel Computing, Python

Logo Detection Using PyTorch medium.com

Published July 4, 2018 under Computer Vision

Python, PyTorch

A Short Guide to Using Python For Data Analysis In Experimental Physics authorea.com

Published July 4, 2018 under Data Science

Physics, Python

A Feature Selection Tool for Machine Learning in Python towardsdatascience.com

Published July 4, 2018 under Machine Learning

Feature Engineering, Python

Cleaning Up Debt: A pandas Approach medium.com

Published July 4, 2018 under Python

Data, Pandas

Convolutional Neural Networks from the ground up towardsdatascience.com

Published July 4, 2018 under Neural Networks

Python

Productionizing ML with workflows at Twitter twitter.com

Published July 4, 2018 under Machine Learning

Airflow, Python

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