Interesting things I've bookmarked (old posts, page 56)

Clean install of Windows 10

Windows 10 is an unusual release for Microsoft: if you have a licensed version of Windows 7 or 8/8.1, it will very easily upgrade to Windows 10--you don't even need to enter a licence key. Clean installations, however, are a bit trickier: you do need to enter a licence key, and your Windows 7/8 key probably won't work. Fortunately, if you're running Windows 7 or 8, and you really want to use your free Windows 10 licence key to perform a clean installation rather than upgrade, there is a solution. It's pretty convoluted, but it works.

Baby Smash!

As babies smash on the keyboard, colored shapes, letters and numbers appear on the screen. Baby Smash will lock out the Windows Key, as well as Ctrl-Esc and Alt-Tab so your baby can't get out of the application. Pressing ALT-F4 will exit the application and Shift-Ctrl-Alt-O brings up the options dialog. I'm always interested in your

Data Organisation and Visualisation (KIT102)

This unit will explain the relationship between data, information and knowledge and introduce a number of different tools for managing, storing, securing, modelling, visualizing and analysing data. This unit will provide an understanding of how data can be manipulated to meet the information needs of users. Changing data into information can be accomplished with a range of tools, including XML, SQL, spread sheeting and data visualisation. Emphasis will be placed upon using the tools to match the information-seeking behaviour of users. This unit introduces the techniques to enable the students to use these tools for managing data, creating information and allowing knowledge development. Overarching the whole unit is the importance of data security and how it can be achieved. This unit concludes by introducing the concepts behind managing big data in response to global trends of capturing all available data due to inexpensive storage.

Data Analytics (KIT306)

In today's world, the prevalent use of technology and automation have resulted in an explosion in the quantity of data, often referred to as "big data", accumulated by business and by researchers. Data warehouses have been used to set up repositories for this big data. Data is seen as a critical asset for decision-making. Raw data, however, is of little value. In order to obtain insights from this big data analytical techniques are required to turn the data in the repositories into knowledge, by extracting information and identifying patterns, upon which actions can be taken. This unit will help students appreciate the value of using business intelligence tools, data mining techniques and information visualisation methods for the analysis of big data. In this unit students will explore the concepts and technology of business intelligence and experience designing and building business intelligence systems. Students will also gain an understanding of various methods and techniques and applications for data mining. Students will also investigate information visualization tools and techniques to represent the big data in forms that more readily convey embedded information. Students will gain an understanding of the major research issues in the area of big data.

Build An App Using Flask, SQLAlchemy and PostgreSQL

In this blog, we will write a todo application using Flask , Flask-SQLAlchemy , PostgreSQL , and Twitter Bootstrap. The purpose of this blog is not just to help developers write Python Flask web applications but to also help them deploy their application in the Cloud. In this blog, we will deploy our Flask todo application on OpenShift. OpenShift provides scalable hosting for Python web applications. Another purpose of this blog is to help newbie OpenShift Python application developers who want to get started with Python development on OpenShift. Finally, this blog will also show how to connect a Postgresql database from a Python application. By the end of this blog you will be able to see how using a Platform as a Service can quickly get you going with Python and PostgreSQL and we will have a todo application running on OpenShift