In the future I think analysts need to be polyglots- you will need to know more than one language for crunching data.
SAS, Python, R, Julia,SPSS,Matlab- Pick Any Two ;) or Any Three.
No, you can’t count C or Java as a statistical language :) :)
Efforts to promote Polyglots in Statistical Software are-
1) R for SAS and SPSS Users (free or book)
2) R for Stata Users (book)
3) SAS and R (blog and book)
4) Using Python and R together
Probably we need a Python and R for Data Analysis book- just like we have for SAS and R books.
5) Matlab and R
Reference (http://mathesaurus.sourceforge.net/matlab-python-xref.pdf ) includes Python
5) Octave and R
package http://cran.r-project.org/web/packages/RcppOctave/vignettes/RcppOctave.pdf includes Matlab
6) Julia and python
- PyPlot uses the Julia PyCall package to call Python’s matplotlib directly from Julia
7) SPSS and Python is here
8) SPSS and R is as below
- The Essentials for R for Statistics versions 22, 21, 20, and 19 are available here.
- This link will take you to the SourceForge site where the Version 18 Essentials and Plugins are hosted.
9) Using R from Clojure – Incanter
I really liked the mature design, and foundation of this charitable organization. While it is similar to FOAS in many ways (http://www.foastat.org/projects.html) I like the projects . Excellent projects and some of which I think should be featured in Journal of Statistical Software- (since there is a seperate R Journal) unless it wants to be overtly R focused.
In the same manner I think some non Python projects should try and reach out to NumFocus (if it is not wanting to be so PyFocus-ed)
Here it is NumFocus
NumFOCUS supports and promotes world-class, innovative, open source scientific software. Most individual projects, even the wildly successful ones, find the overhead of a non-profit to be too large for their community to bear. NumFOCUS provides a critical service as an umbrella organization which removes the burden from the projects themselves to raise money.
Money donated through NumFOCUS goes to sponsor things like:
- Coding sprints (food and travel)
- Technical fellowships (sponsored students and mentors to work on code)
- Equipment grants (to developers and projects)
- Conference attendance for students (to PyData, SciPy, and other conferences)
- Fees for continuous integration and other software engineering tools
- Documentation development
- Web-page hosting and bandwidth fees for projects
SciPy is open-source software for mathematics, science, and engineering. It is also the name of a very popular conference on scientific programming with Python. The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization.
2D plotting library for Python that produces high quality figures that can be used in various hardcopy and interactive environments. matplolib is compatiable with python scripts and the python and ipython shells.
High quality open source python shell that includes tools for high level and interactive parallel computing.
SymPy is a Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries.
Cython is a language based on Pyrex that makes writing C extensions for Python as easy as writing them in Python itself. Cython supports calling C functions and declaring C types on variables and class attributes, allowing the compiler to generate very efficient C code from Cython code.
pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.
PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data. PyTables is built on top of the HDF5 library, using the Python language and the NumPy package. It features an Pythonic interface combined with C / Cython extensions for the performance-critical parts of the code. This makes it a fast, yet extremely easy to use tool for very large amounts of data. http://pytables.github.com/
Free high-quality and peer-reviewed volunteer produced collection of algorithms for image processing.
Module designed for scientific pythons that provides accesible solutions to machine learning problems.
Statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics and estimation of statistical models.
Interactive development environment for Python that features advanced editing, interactive testing, debugging and introspection capabilities, as well as a numerical computing environment made possible through the support of Ipython, NumPy, SciPy, and matplotlib.
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently.
NumFOCUS is currently looking for representatives to enable us to promote the following projects. For information contact us at: info@NumFOCUS.org.
Open source mathematics sofware system that combines existing open-source packages into a Python-based interface.
NetworkX is a Python language software package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
Free scientific and engineering development software used for numerical computations, and analysis and visualization of data using the Python programmimg language.
Big Data for Big Brother. Now playing. At a computer near you. How to help water the tree of liberty using statistics?
or use SAS software
SAS/CIA from the last paragraph of