Scientific Analysis in Python Python based scientific analysis cookbook James Battat Created: October 3, 2006 Last Modified: July 12, 2010 I find Python very user-friendly. Therefore I often reach for it when tasked to solve small or large scripting problems. I have been rather frustrated, though, with the level of support for scientific analysis packages. With scipy and matplotlib, of course, the tools are all there and success is just around the corner... But if you're like me and you're at a loss when trying to do something in Python because you're used to using other languages (IDL) for scientific analysis then you may find this page useful. machine learning in Python — scikit-learn 0.13.1 documentation "We use scikit-learn to support leading-edge basic research [...]" "I think it's the most well-designed ML package I've seen so far." "scikit-learn's ease-of-use, performance and overall variety of algorithms implemented has proved invaluable [...]." "For these tasks, we relied on the excellent scikit-learn package for Python." "The great benefit of scikit-learn is its fast learning curve [...]" "It allows us to do AWesome stuff we would not otherwise accomplish"
Linear regression with pylab In order to compliment my linear regression in google docs post (and because I keep forgetting how to do it), here is a quick and dirty guide to linear regression using python and pylab. First some notes. One, there is some good info on this online (how else do you think I find this stuff?). Here is a great link: SciPy Cookbook on linear regression. Second, remember that I do things the ‘hard way’ sometimes. BIOSERVICES: a Python package to access biological web services programmatically — bioservices 1.2.0 documentation Overview BioServices is a Python package that provides access to many Bioinformatics Web Services (e.g., UniProt) and a framework to easily implement Web Service wrappers (based on WSDL/SOAP or REST protocols). The primary goal of BioServices is to use Python as a glue language to provide a programmatic access to Biological Web Services. By doing so, elaboration of new applications that combine several Web Services should be fostered. One of the main philosophy of BioServices is to make use of the existing REST or SOAP/WSDL Web Services and therefore existing databases, not to re-invent new databases.
Scrum Lego City With the Scrum Lego City from agile42 you can find out how powerful Scrum can be. Scrum Lego City by agile42 is licensed under a Creative Commons Attribution-Share Alike 3.0 License. LInk to buy the Material Amazon.deAmazon.com 30 Python Language Features and Tricks You May Not Know About 1 Introduction Since I started learning Python, I decided to maintain an often visited list of "tricks". Any time I saw a piece of code (in an example, on Stack Overflow, in open source software, etc.) that made me think "Cool! I didn't know you could do that!" Weka 3 - Data Mining with Open Source Machine Learning Software in Java Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. Found only on the islands of New Zealand, the Weka is a flightless bird with an inquisitive nature. The name is pronounced like this, and the bird sounds like this.
Python for Scientists In reaction to several colleagues asking about Python , I thought a webpage would be more useful than giving an exhaustive rundown on Python verbally. Python is a script based language that allows programmers/scientists to get their algorithms and functions working in little or no time. A large number of modules and wrappers are being built for Python, like RPy and Scipy , to allow advanced tools and faster processing speeds to be implemented. Object-relational mapping Not to be confused with Object-Role Modeling. Object-relational mapping (ORM, O/RM, and O/R mapping) in computer science is a programming technique for converting data between incompatible type systems in object-oriented programming languages. This creates, in effect, a "virtual object database" that can be used from within the programming language. There are both free and commercial packages available that perform object-relational mapping, although some programmers opt to create their own ORM tools. Overview Implementation-specific details of storage drivers are generally wrapped in an API in the programming language in use, exposing methods to interact with the storage medium in a way which is simpler and more in line with the paradigms of surrounding code.
Machine Learning Repository: Covertype Data Set Source: Original Owners of Database: Remote Sensing and GIS Program Department of Forest Sciences College of Natural Resources Colorado State University Fort Collins, CO 80523 (contact Jock A.