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Max Hemingway

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Max Hemingway

Category Archives: Open Source

Google I/O 2015 Event – Keynote Speech – Notes

28 Thursday May 2015

Posted by Max Hemingway in Innovation, IoT, Open Source, Productivity, Programming, Security, Wearable Tech

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Innovation, IoT, Wearable Tech

Here are some notes from the Google I/O 2015 – Keynote Speech

Android Overview

  • Android – Supporting over 400 OEMs and over 4000 Devices
  • Android Wear – 7 Models Supported
  • Android Auto – Supporting 35 Brands
  • Andriod TV – Sony, Sharp, Philips shipping with Android. Many more to come
  • 17m ChromeCast Devices – 1.5B Cast Button Presses

M Developer Preview

  • Back to Basics – Solved thousands of Bugs
  • Focus on Quality
  • Improving the core User Experience

App Permissions
– Simplifying App Permissions
– Apps asking permission when using that feature at first use rather than at install
– Faster to get users up and running – updates are seamless – app control process

Web Experience + App Links
– App Dev’s care about the experience that the users get
– Linking App to Web smoother
-Chrome Custom Tabs
– Apps can auto verify links at install time to verify the app owns the links it says it does

Mobile Pay
– Standardising Fingerprint Support

Power & Charging
– Doze Feature using activity to monitor when less power is needed in the device
– up to 2x longer in power length
– USB Type C charger to increase charging by 3x to 5x
– Can be charged or feature to act as a charger

Other new features
– Easier word selection
– Direct Share
– Simplified volume controls
Android Wear

  • Wearable Apps
  • Always on Apps
  • Wrist Gestures (such as scroll up/scroll down
  • Emoji Recogniser (draw emoji’s that are then recognised and correct emoji is displayed then sent)
  • Launcher (improved)

Project Brillo – Underlying IOT Operating System

  • Derived from Android
  • Minimal system requirements
  • Broad Silicon support
  • Easy to secure
  • Q3 Developer Preview

Weave – IOT Communcations layer where things can talk to each other

  • Common Language
  • Standard Schema’s
  • Developers APIs
  • Run with Brillo
  • Cross Platform
  • Q4 2015 full stack released

Now On Tap

  • Takes advantage of M Developer
  • Provides deeper interaction through access to Googles back end systems and deep machine learning networks
  • Enhanced user experience with access to information in real time

Google Photos

  • Built a new experience
  • Home for photos private and secure – available any device
  • Organise
  • Share

Chrome

  • Lite Search Results supporting more countries
  • Optimised search page results load 4 x faster, 80% less bytes and 80MB reduction in memory usage
  • Network Quality Estimator – to load pages to quality of bandwidth
  • Improved Offline Support – Saves of pages

YouTube

  • YouTube Offline – up to 48 Hours to view the video

Maps

  • Offline Maps
  • Offline Navigation – step by step

Developers

Developing Apps
Android Studio 1.3
– Improved Gradle build speed
– New memory profiler
– Support for C/C++

Polymer 1.0
– Elements to easily drop in features

iOS
– Cocoapods for SDK distribution

Testing
– Cloud Test Lab – Automate testing of mobile apps
– Runs test across top 20 devices across the world

Engage

– App Indexing (50 billion app links)
– Cloud Messaging (70 billion messages a day)
– will support iOS
– Topic subscription

Mobile Web
– Push Notfications
– Add to Homescreen

App Install Ads
– Universal App Campains – auto campain based on budget
– Measure App Install Ads

Google Play
– Conversion Funnel – Dashboard across app
– Play Store Listing Experiments
– Developer Pages – Own Google Play Home Page

Earn
– AdMob & Google Analytics
– AdMob Mediation – 40 Ad Networks

Google Cardboard – Over 1 million users

  • Improved viewer – screens up to 6 inches
  • Cardboard SDK – build for Android and iOS
  • Expeditions – Education Travel for Schools – Synchronized phones and tables

Google Balloons

  • 100+ days in the air
  • 10 Mbps connectivity
  • 500m accuracy
  • 4 x coverage area
  • Local partners

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Open Data Handbook Revised

21 Thursday May 2015

Posted by Max Hemingway in Data Science, IoT, Open Source

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Data Science, IoT, Open Source

openOriginally published in 2012 the “Open Data Handbook” has been revamped to inspire Open Data Newcomers.

The new version of the online site allows access to:

  • The Open Data Book
  • Value Stories
  • Resource Library

For those who have not yet been introduced to the Open Data Handbook, the below is a good overview of what its about.

This handbook discusses the legal, social and technical aspects of open data. It can be used by anyone but is especially designed for those seeking to open up data. It discusses the why, what and how of open data – why to go open, what open is, and the how to ‘open’ data.

There are already a lot of “Open” sources of such as Open Source Web Crawlers and Data Sets, which is set to grow in the wake of the Internet of Things (IoT) and other data creation solutions.

The Handbook/Guide provides a good place to start if you are considering making your data Open, however the data created will also be a huge revenue generator for companies who produce the IoT devices.  The amount of data that will made Open remains to be seen more things come online

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Open Source, Open Human, Open Data, Open Sesame!

30 Monday Mar 2015

Posted by Max Hemingway in IoT, Open Source, Wearable Tech

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Cloud, Data, IoT, Open Source, Wearable Tech

Opeopenn Source is a term that is now common place  meaning access to the inner workings of a thing to allow a wider community of people to help develop and take it forward. A good example of this is in software. The Internet is full of Open Source Software projects that people are developing and collaborating on, sharing data.

A project by the Personal Genome Project is now looking to take the idea of Open Source to the next level with Open Humans. The project is looking for volunteers to Open Source themselves and publicly share data about their health to further science and medical fields. The project does state though that you can choose what data you share.

Open Data is a term relating to data that can be shared openly and freely. An example of this are the data sets freely available by governments such as Data.gov and Data.gov.uk.

By 2020 it is predicted that with a world population of 7.6 billion, there will be 50 billion connected devices. That’s 6.58 connected devices per person. Some people have that now with phones, tablets, wrist devices, glasses etc. Each device capable of producing a lot of data on usage, actions, etc. How much of this data will be private vs open is yet to be determined and the ability to opt in and out need to be clearer for people to understand.

A report in todays BBC News claims that yet more personal data is being sold illegally. This time pensions data (Pension data ‘sales’ investigated by watchdog) . However as we take more steps towards the IoT (Internet of Things) are we able to keep track of our data and how it is used or are we heading towards an Open Sesame bonanza of data treasure being opened, taken and sold on.

Open Sesame is a magical phrase used by Ali Baba to access a secret cave of treasure. In this case the treasure is data!

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Mapping Social Media Clickbait in R and ggplot2

16 Monday Feb 2015

Posted by Max Hemingway in Data Science, Open Source, Social Media

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Data Science, Social Media

Have you been caught out by the ever increasing world of Clickbait, enticed in with titles like “You’ll Never Believe What The Parrot Did Next!” in your Social Media feeds such as facebook.

The main purpose of Clickbait is to get you to a site where adverts are displayed to get you to onward click and generate revenue for the sites owners.

Max Woolf @ Minimaxir.com has recently mapped out 15,656 BuzzFeed Listicles which have been shared on Facebook.

Buzzfeed

This has been achieved using R and ggplot based on a dataset from Buzzfeed.  A copy of the code is also available on the authors Github repository.

Looking at the dataset itself:

The top 3 articles shared

  • 41 Camping Hacks That Are Borderline Genius – 1, 734,676 Shares
  • 50 Things That Look Just Like Your Childhood – 1,655,900 Shares
  • 27 Surreal Places To Visit Before You Die – 1,329,602 Shares

The bottom 3 articles shared:

  • 8 Celebrity Tweets You Missed Today – 1 share
  • 7 Outtakes From Out100s 2012 Portraits – 1 share
  • 5 Questions About The JOBS Act Vote And Whats Changed – 1 share

The total number of shares in the data set is a staggering 185,415,297

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Open Source for DevOps Practices in a Microsoft Environment

14 Wednesday Jan 2015

Posted by Max Hemingway in DevOps/OpsDev, Open Source

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Development, DevOps, learning, Open Source, OpsDev

Microsoft have just released the slides and training for Open Source for DevOps Practices via the Microsoft Virtual Academy.

The training covers 4 sessions and uses some Microsoft Tools/Services in the demonstrations/training:

  • What DevOps Means Here; Common DevOps Practices and Supporting Open Source Tooling
  • Version Control as a Communication Tool; Issue Trackers as a Coordination Tool
  • Shareable Development, Test and Deployment Environments and Automated Staging
  • Automated Testing, Whats Next?

The sessions cover the following topics:

  • DevOps Overview
  • Azure Basics + Process Tools
  • Source Code Repos + Communication
  • Reproducible Environments
  • Automated Testing
  • Deployment & Configuration Management
  • Release Management
  • Monitor + Learn

Each session is between an 1 hour and 1 hour 20 mins. Followed by a recommended next steps section at the end.

These are good sessions and demo’s if you want to integrate typical Open Source DevOps products into a Microsoft based estate. The videos and demo’s cover:

  • Azure
  • Docker
  • Vagrant
  • Packer
  • Gradle
  • Grunt
  • Salt
  • Hudson
  • Puppet
  • Chef
  • Jenkins
  • Nagios
  • Zabbix

Source: http://www.microsoftvirtualacademy.com/training-courses/open-source-for-devops-practices

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