Skip to content
View aaronneous's full-sized avatar
0 followers · 1 following

Block or report aaronneous

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Popular repositories Loading

  1. Interview_Problems Interview_Problems Public

    Forked from nyghtowl/Interview_Problems

    Example coding interview problems found through online resources, Cracking the Code book, mentors and colleagues. An additional robust resource for example interview questions and solutions is at h…

    Python 1

  2. research_public research_public Public

    Forked from quantopian/research_public

    Quantopian research projects

    Python

  3. Probabilistic-Programming-and-Bayesian-Methods-for-Hackers Probabilistic-Programming-and-Bayesian-Methods-for-Hackers Public

    Forked from CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

    aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

    Jupyter Notebook

  4. fecon235 fecon235 Public

    Forked from rsvp/fecon235

    Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SP…

    Jupyter Notebook

  5. awesome-quant awesome-quant Public

    Forked from wilsonfreitas/awesome-quant

    A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

  6. quant quant Public

    Forked from paulperry/quant

    Quantitative Finance and Algorithmic Trading

    Jupyter Notebook