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iHeartRadio is an Internet radio platform owned by Clear Channel Broadcasting, Inc. Founded in April 2008 as the website iheartmusic.com, iHeartRadio now functions as both a music recommender system and a radio network that aggregates content from over 800 local Clear Channel radio stations across the United States, as well as hundreds of stations owned by companies other than Clear Channel. iHeartRadio is available online, via mobile devices, and on select video game consoles. iHeartRadio is a free, all-in-one digital radio service that lets you find more than 1,500 Live Stations or create commercial-free, all-music Custom Stations featuring songs from the artist you select and similar music.

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g33ktalk Weekly

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From UC Berkley’s School of Information, this complete video course will teach you to master big data analysis using examples from Twitter. Video playlist.

A Python library for rapid machine learning prototyping, Ramp acts as a wrapper around several ML and stats libraries like scikit-learn and rpy2. This article works through the ‘Detecting Insults in Social Commentary’ challenge from Kaggle as an example. 15 mins

graph-tool is a super-efficient python module for manipulation and analysis of networks. The core data structures and algorithms are implemented in C++, conferring high performance when using large data sets. 5 mins

Keeping Passwords in Source control

Here’s some slick advice that shows you how to store your passwords and other config info in your repo securely. Protect yourself from this: https://github.com/search?p=3&q=gmail_password&ref=searchresults&type=Code
10 mins

On Rails’ SQLi Vulnerability

Complete explanation of how exactly the Rails vulnerability works, including exploitable scenarios and mitigation tips. 15 mins.

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g33ktalk Weekly

This content is part of our weekly newsletter that features the best articles, videos and audio for software engineers from across the web. Want to receive it every week? Subscribe here.

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A List of Data Science and Machine Learning Resources 15 mins

Recently, we’ve been going big on big data tech around here and this article turned up in some of our research. In his talk yesterday at USV, Mike Abbott (former VP Eng at Twitter) commented on his justification for ‘big data’ enablement: “It’s now more cost effective to do machine learning on larger sets of data than ever before.” Who can disagree?.

Surprises when Designing an iPhone App 10 mins

SeatGeek launched their new iPhone last week, and we must say – it’s a real beauty! gives us a run down on what a web-developer should take into consideration when switching to mobile app design..

15 mins

Find out how to make your code more intuitive and easier to understand with Python’s built-in functions that enable elegant ways of manipulating data.

Styling Android: Multiple displays . 10 mins

Mark Allison continues his series writing about multiple screen support in 4.2, this time showing the tools that help in development, as well as further expanding his previous examples.

How do we read code? 5 mins

Discusses an interesting experiment (using eye tracking) designed to measure which features in programming systems help programmers understand what they are doing and how this learning can be used to make systems that lead to higher quality software..

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We were lucky to attend the Bay Area R users group last week where we recorded Laurent Gautier’s talk on the RPy2 bridge which allows one to use Python as the glue language to develop applications while using R for the statistics and data analysis engine. He also demonstrated how a web application could be developed around an existing R script.




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