todo.txt

fancy visualization of dependencies

preface
- not meant to be read in sequential order groupings are topical
introduction

0 Python fundamentals
- python = syntax, functions, classes, decorators, etc
- packages = numpy, scipy, sympy, matplotlib

1 Notation and Analysis
- asymptotic notation
- master theorem
- convergence of algorithms
- recursion
- dynamic programming

2 linear algebra
- matrix factorizations, SVD, variational problems
- forward/backward substitution
- dense
- BLAS
- sparse
- ARPACK
- randomized algorithms
- Low rank approximations
- image compression
- pytorch for GPU

3 optimization
- definitions - objectives, constraints, LP, QP, etc.
- modeling languages, various solvers
- kkt conditions
- scipy optimization
- cvx
- SGD with Pytorch

4 functions
- root finding
- interpolation
- numerical differentiation
- numerical integration/quadrature
- sympy
- ODES, PDEs

5 graphs
- definitions
- networkx
- spectral embeddings
- shortest paths
- dynamic programming
- computation graphs

6 probability and statistics
- generating random numbers
- distributions
- random matrices
- histograms
- parameter estimation
- regression with QR

7 data
- pandas, various operations
- data visualization in plotly, matplotlib
- dimensionality reduction
- machine learning (sklearn)
- dask

8 geometry
- metrics, distances
- nearest neighbor search
- clustering
- optimal transport?

9 computing
- bash
- environments, conda
- ipython notebooks
- git
- profiling code
- packagetools
- slurm
- dask


Other:
integrate with binder: https://mybinder.org/
setup github pages