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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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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&
10 mins
Complete explanation of how exactly the Rails vulnerability works, including exploitable scenarios and mitigation tips. 15 mins.
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.
READ THIS NOW |
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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?. |
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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.. |
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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. |
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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. |
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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.. |
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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