• Skip to content
  • Skip to primary sidebar

PyQuant News

Resources for developers using Python for scientific computing and quantitative analysis

You are here: Home / 2017 / Archives for December 2017

Archives for December 2017

Latest Python Resources

Cryptocurrency Analysis with Python – MACD romanorac.github.io

Published December 29, 2017 under Python

Bitcoin, Cryptocurrency, Python

Advanced Numpy Techniques nbviewer.jupyter.org

Published December 29, 2017 under Data Science

Data Science, Numpy, Python

Random Forest in Python medium.com

Published December 29, 2017 under Python

Machine Learning, Python

Evolving Simple Organisms using a GA and Deep Learning from Scratch nathanrooy.github.io

Published December 28, 2017 under Python

Machine Learning, Python

Intro to Blockchain Development youtube.com

Published December 20, 2017 under Python

Blockchain, Python

Using Excel with pandas dataquest.io

Published December 20, 2017 under Python

Data Science, Pandas, Python

How To Model Volatility Smile In Python quantinsti.com

Published December 19, 2017 under Quant Finance

Options, Python, Quant Finance, Volatility

PCA using Python (scikit-learn) towardsdatascience.com

Published December 8, 2017 under Python

Machine Learning, Python

Flask asynchronous background tasks with Celery and Redis allynh.com

Published December 8, 2017 under Python

Flask, Python

Python socket cheatsheet github.com

Published December 8, 2017 under Python

Python

Creating a Real-time Web-based Application using Flask, Vue, and Socket.io secdevops.ai

Published December 8, 2017 under Python

Flask, Python

Katharine Jarmul on using Python for data analysis oreilly.com

Published December 1, 2017 under Data Science

Data Science, Python

Dask plus Numba for Efficient In-Memory Model Scoring medium.com

Published December 1, 2017 under Python

Dask, Numba, Python

Primary Sidebar

Welcome to PyQuant News

PyQuant News algorithmically curates the best resources from around the web for developers using Python for scientific computing and quantitative analysis.

PyQuant Books

  • Artificial Intelligence with Python: A Comprehensive Guide to Building Intelligent Apps for Python Beginners and DevelopersArtificial Intelligence with Python

» View all Books

Categories

  • Blogs (9)
  • Books (17)
  • Business (2)
  • Computer Vision (16)
  • Data Science (107)
  • Economics (2)
  • Education (5)
  • Investing (4)
  • Machine Learning (116)
  • Mathematics (3)
  • Neural Networks (7)
  • Programming (13)
  • Python (265)
  • Quant Finance (34)
  • Statistics (2)
  • Trading (38)
  • Unix (1)
  • Vagrant (1)
  • Web Development (3)

Archives

  • February 2019 (7)
  • January 2019 (5)
  • December 2018 (19)
  • November 2018 (5)
  • October 2018 (3)
  • September 2018 (17)
  • August 2018 (11)
  • July 2018 (15)
  • June 2018 (24)
  • May 2018 (5)
  • April 2018 (4)
  • March 2018 (3)
  • February 2018 (5)
  • January 2018 (79)
  • December 2017 (13)
  • November 2017 (23)
  • October 2017 (20)
  • September 2017 (8)
  • August 2017 (17)
  • July 2017 (15)
  • June 2017 (11)
  • May 2017 (13)
  • April 2017 (11)
  • March 2017 (11)
  • February 2017 (7)
  • January 2017 (21)
  • December 2016 (7)
  • October 2016 (4)
  • September 2016 (3)
  • August 2016 (4)
  • July 2016 (8)
  • June 2016 (6)
  • April 2016 (12)
  • March 2016 (2)
  • February 2016 (2)
  • January 2016 (8)
  • November 2015 (2)
  • October 2015 (5)
  • September 2015 (8)
  • August 2015 (11)
  • July 2015 (13)
  • June 2015 (51)
  • May 2015 (84)
  • April 2015 (43)

Invites for private beta of Trade Blotter open at https://tradeblotterapp.com! Performance and risk analytics for self-directed traders.

Follow us on Twitter @TradeBlotterApp.