The Julia Language

Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library. The library, largely written in Julia itself, also integrates mature, best-of-breed C and Fortran libraries for linear algebra, random number generation, signal processing, and string processing. In addition, the Julia developer community is contributing a number of external packages through Julia’s built-in package manager at a rapid pace. IJulia, a collaboration between the IPython and Julia communities, provides a powerful browser-based graphical notebook interface to Julia. Julia programs are organized around multiple dispatch; by defining functions and overloading them for different combinations of argument types, which can also be user-defined.

http://julialang.org/

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Code Week EU 2016 – Skill up for the digital world with #codeEU! EU Code Week is a grass-root movement run by volunteers who promote coding in their countries as Code Week Ambassadors. Last year more than half a million people participated in nearly 8,000 coding events in 46 countries in Europe and beyond. This year Code Week is teaming up with Public Libraries 2020, a network of 65.000 local libraries in the EU. They aim to organise "coding corners" or coding workshops in local libraries around Europe. As in 2015, schools are invited to organise coding events under the CodeWeek4All challenge involving as many students and pupils as possible. Schools who reach at least a 50% participation rate will receive a Certificate of Excellence in Coding Literacy.

In-depth introduction to machine learning in 15 hours of expert videos In January 2014, Stanford University professors Trevor Hastie and Rob Tibshirani (authors of the legendary Elements of Statistical Learning textbook) taught an online course based on their newest textbook, An Introduction to Statistical Learning with Applications in R (ISLR). I found it to be an excellent course in statistical learning (also known as “machine learning”), largely due to the high quality of both the textbook and the video lectures. And as an R user, it was extremely helpful that they included R code to demonstrate most of the techniques described in the book. PHP: a fractal of bad design - fuzzy notepad (This article has been translated into Spanish (PDF, with some additions) by Jorge Amado Soria Ramirez — thanks!) Preface I’m cranky. I complain about a lot of things.

What is R? During the last decade, the momentum coming from both academia and industry has lifted the R programming language to become the single most important tool for computational statistics, visualization and data science. Worldwide, millions of statisticians and data scientists use R to solve their most challenging problems in fields ranging from computational biology to quantitative marketing. R has become the most popular language for data science and an essential tool for Finance and analytics-driven companies such as Google, Facebook, and LinkedIn. Watch this 90 second video for an introduction to R This video is free to download, remix and share! Every data analysis technique at your fingertips

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Federal Reserve Economic Data Skip to main content Economic Research Federal Reserve Bank of St. Louis My Account Register Sign in Using HTML5 to Create Charts and Graphs Today I found an interesting library – flotr2: an opensource library for drawing HTML5 charts and graphs. It allows you to draw charts in different formats such as: linesbarscandlespiesbubbles

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