@AllenDowney : DataScienceBestPractices

Mathematics.md

@@ -43,7 +43,6 @@ NB: Many packages may not be regularly updated to work with Julia nightlies.
 + [ContinuedFractions.jl](https://github.com/johnmyleswhite/ContinuedFractions.jl) :: Types and functions for working with continued fractions in Julia.
 + [DecFP.jl](https://github.com/stevengj/DecFP.jl) :: The package provides 32-bit, 64-bit, and 128-bit binary-encoded decimal floating-point types following the IEEE 754-2008, implemented as a wrapper around the (BSD-licensed) Intel Decimal Floating-Point Math Library. 
 + [Devectorize.jl](https://github.com/lindahua/Devectorize.jl) :: A Julia framework for delayed expression evaluation.
-+ [Dierckx.jl](https://github.com/kbarbary/Dierckx.jl ):: A Julia wrapper for the Dierckx Fortran library for spline fitting.
 + [DiffModels.jl](https://github.com/jdrugo/DiffModels.jl) : Diffusion Model simulation and first-passage time densities in Julia.
 + [DoubleDouble.jl](https://github.com/simonbyrne/DoubleDouble.jl) :: A Julia package for performing extended-precision arithmetic using pairs of floating-point numbers.
 + [Entropy.jl](https://github.com/grero/Entropy.jl) :: This package contains functionality for computing binless estimates of entropy from discrete and continuous samples for continuous distributions.
@@ -242,7 +241,9 @@ NB: Many packages may not be regularly updated to work with Julia nightlies.
 ----
 
 # [Numerical Analysis](https://en.wikipedia.org/wiki/Category:Numerical_analysis)
++ [ApproXD.jl](https://github.com/floswald/ApproXD.jl) :: B-splines and linear high-dimensional approximators in multiple dimensions for Julia.
 + [Dopri.jl](https://github.com/helgee/Dopri.jl) :: A Julia wrapper for the DOPRI5 and DOP853 integrators.
++ [Dierckx.jl](https://github.com/kbarbary/Dierckx.jl ):: A Julia wrapper for the Dierckx Fortran library for spline fitting.
 + [EiSCor.jl](https://github.com/andreasnoack/EiSCor.jl) :: A Julia wrapper of the Fortran library "eiscor" (Fortran 90 subroutines for structured matrix eigenvalue problems using 2x2 unitary matrices) for efficiently solving structured matrix eigenvalue problems using unitary core transformations 
 + [Expokit.jl](https://github.com/acroy/Expokit.jl) :: A package that provides Julia implementations of some routines contained in EXPOKIT.
 + [FastGaussQuadrature.jl](https://github.com/ajt60gaibb/FastGaussQuadrature.jl) :: A Julia package to compute n-point Gauss quadrature nodes and weights to 16-digit accuracy and in O(n) time.

Resources.md

@@ -19,7 +19,6 @@ __Useful learning resources and all other random resources that does not have it
 + The book "[Getting started with Julia Programming](https://www.packtpub.com/application-development/getting-started-julia-programming)" by @Ivo-Balbaert was published by Packt Publishing, ISBN13: 9781783284795, 214 pages, 28-Feb-2015. The [source code](https://github.com/Ivo-Balbaert/start_julia) used in the book. __NotaBene__: If you are using Julia version-0.4 and above, this book may be outdated due to the fast paced development of the core language bits.
 + Trends in Bayesian Methodology:: [Source code for "Hamiltonian Methods and Zero Variance Principle" chapter of "Trends in Bayesian Methodology"](https://github.com/scidom/hmc_and_zv_book_chapter.jl) book.
 + Teaching :: [Julia in the Classroom](http:https://julialang.org/teaching/)
-+ [Free Data Mining Books](http:https://christonard.com/12-free-data-mining-books/) and the [HN thread with more links](https://news.ycombinator.com/item?id=7760969)
 + [List of free programming books](https://github.com/vhf/free-programming-books)
 + [List of free software testing books](https://github.com/ligurio/free-software-testing-books)
 

Statistics.md

@@ -6,6 +6,7 @@
  + [Org-JuliaQuant](#org-juliaquant)
 + [BENCHMARKS](#benchmarks)
  + [Preprocessor](#preprocessor)
++ [DATA SCIENCE](#data-science)
 + [OPERATIONS RESEARCH](#operations-research)
  + [Optimization](#optimization)
  + [Genetic Programming](#genetic-programming)
@@ -97,6 +98,14 @@
 
 ----
 
+# DATASCIENCE
++ [DataScienceBestPractices](https://github.com/AllenDowney/DataScienceBestPractices) :: Supporting code for a video series on best practices for exploratory data analysis. 
+
+###### Learning Resources
++ [Free Data Mining Books](http:https://christonard.com/12-free-data-mining-books/) and the [HN thread with more links](https://news.ycombinator.com/item?id=7760969)
+
+----
+
 # OPERATIONS RESEARCH 
 + [CGRASP.jl](https://github.com/tautologico/CGRASP.jl) :: Continuous Greedy Randomized Adaptive Search Procedure (CGRASP), in Julia.
 + [CSDP.jl](https://github.com/joehuchette/CSDP.jl) :: Julia wrapper for the CSDP semidefinite programming solver.
@@ -202,7 +211,6 @@ An umbrella group for Julia-based optimization-related projects, with its own [m
 # STATISTICS
 + [AdaGram.jl](https://github.com/sbos/AdaGram.jl) :: Adaptive Skip-gram implementation.
 + [AD_StatTest-julia](https://github.com/manuamador/AD_StatTest-julia) :: An implementation of the Anderson Darling statistical test for exponential or Rayleigh distributions in Julia.
-+ [ApproXD.jl](https://github.com/floswald/ApproXD.jl) :: B-splines and linear high-dimensional approximators in multiple dimensions for Julia.
 + [ASH.jl](https://github.com/joshday/ASH.jl) :: David Scott's Average Shifted Histogram density estimation.
 + [BasicSpace.jl](https://github.com/johnmyleswhite/BasicSpace.jl) :: A port of the R "basicspace" package to Julia.
 + [Bootstrap.jl](https://github.com/julian-gehring/Bootstrap.jl) :: Bootstrapping is a widely applicable technique for statistical estimation, especially in the absence of closed-form solutions.