numfin.py

sub-Packages

• linal (Linear Algebra)
• multivarCalc (Multivariable Calculus)
• probNstats (Probability and Statistics)
• stochCalc (Stochastic Calculus and Financial Mathematics)
• ml (Machine Learning)
• CSnSystems (Core Computer Science and Systems)
• fundamentals (Fundamental Investing)

Documentation

numfin.linal:

1. Portfolio as a Vector
2. CAPM as a Linear Projection
3. RREF as replicationm, hedging, linear arbitrage, LP Solvers, regression engines.
4. Linear Transformations
5. Spaces and Subspaces
6. Inner Products and Orthogonality

numfin.multivarcal:

1. Partial Differential Equations
2. Double and Triple Integrals
3. Vector Calculus
4. Continuity and Differentiability

numfin.ml:

1. Linear and Logistic Regression
2. GLMs
3. GLAs
4. SVMs
5. DeepLearning
6. K-means Clustering
7. PCA
8. EM-Algo

numfin.stochcalc:

numfin.probNstats:

numfin.CSnSystems:

1. Memory Management
2. Parallelism/Threading
3. Systems Architecture
4. Sockets and IPC
5. Bit level ops

numfin.fundamentals:

1. Automatic DCF
2. Equity Report LLM
3. Annual Report Analyzer