mgroncki / IPythonScripts
Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio Optimisation, Machine Learning and Deep Learning
Why this job: works in the areas we cover, but does not say which job it does
What it does
Here you find my IPython (Jupyter) notebooks from my blog (ipythonquant.wordpress.org).
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 8 months ago
- Stars
- 181
- +1 this week
- Licence
- BSD-3-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Jupyter Notebook
- 80% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- None
- No issues filed
- Pull requests
- 0 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Jupyter Notebook 80%
- HTML 18%
- Python 2%
Topics
- counterparty-credit-risk
- cva
- deep-learning
- hedging
- machine-learning
- monte-carlo
- monte-carlo-simulation
- pricing-derivatives
- quantitive-finance
- xva
Project record
- JobOther AI tools
- StatusListed
- Commits37
- Forks71
- Watching15
- Stars in 28 days+2
- CreatedAug 18, 2013
- First seen by usNov 7, 2026
- CheckedNov 8, 2026