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  1. Introduction to Machine Learning with Python

    scikit-learn

    Introduction

    Machine Learning is a form of Artificial Intelligence that gives computers the ability to learn from sets of data without explicitly programming them. By learning from one set of data, behaviours and patterns can be discovered and used to process new, unseen data. In other areas of computer science ...

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  2. Imperative vs. Declarative Programming - Installation Instructions

    In this workshop we will attempt to clarify, by way of comparison, the differences between imperative and declarative programming styles. Moreover, how aspects of both styles can be used to improve programming productivity.

    To aid with this, we will be presenting a number of exercises. Attempting these exercises requires access ...

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  3. Introduction to PyOpenCL

    OpenCL Logo

    OpenCL

    Open Computing Language is a framework for writing programs that execute across heterogeneous platforms consisting of several elements, of which we're going to working with central processing units (CPUs) and graphics processing units (GPUs). OpenCL offers highly decreased computation times for complex programs by taking advantage of the ...

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  4. Jupyter Notebooks

    Introduction

    Jupyter Notebooks are a web based application that enables users to create and share documents containing code, data visualisations and text in different programming languages. The structure of the notebook makes them useful for describing and record keeping of code execution and figures, helping maintain the reproducibility of the ...

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  5. Introduction to Emacs

    Emacs

    Emacs is a customisable, self-documenting and fully extensible text editor. Emacs is freely available under the GNU license and is generally distributed with Linux operating systems. It has a Graphical and Terminal mode of operation and therefore makes it particularly appealing for HPC where remote editing of files is ...

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  6. Getting Things Done

    Self-organisation for stress-free productivity

    Getting Things Done (GTD) is a method aimed at knowledge-workers that have to

    • balance multiple requests, projects, concerns, and at the same time
    • need some space to be creative

    GTD is based on five basic paradigms:

    • Capture everything that has your attention. Little, big, personal and ...
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  7. Metaprogramming in Python

    Metaprogramming

    Metaprogramming is the process of writing code which manipulates existing code, such as functions or classes. It is a simple technique which can eliminate code repetition without introducing inheritance classes or multiple similar functions.

    The Workshop

    The workshop will be taught by Lucy Upton, a first year PhD student ...

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  8. Pandas

    Python is a becoming an increasingly common high level programming language, excelling in easy implementation of scientific programming tasks. For statistical analysis however, environments such as R or Stata remain the first choice of most.

    Pandas the Python Data Analysis Library, is an open source python library which allows advance ...

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  9. D3 Data-driven Document

    D3.js is a JavaScript library for manipulating documents based on data. It helps you bring data to life using HTML, SVG, and CSS. D3's emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and ...

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  10. Introducing Constructive Solid Geometry with OpenSCAD


    OpenSCAD Logo.

    Instructions for using the Virtual Machine

    A link to download the Virtual Machine with OpenSCAD installed is provided here.

    The virtual machine provides a very basic Debian installation with OpenSCAD 2014.3. Log in as the user csg with the password csg. There is no display manager installed, so you ...

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  11. HDF5

    Sublime Text 2

    This blog is a tutorial on some of the tools and features of HDF5 files. More specifically, we will cover the built-in terminal commands and some use of h5py, a HDF5 python package. You can download a VirtualBox image with required materials for the exercises from the following link (the ...

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  12. Virtualisation with Vagrant

    Files:

    Presentation
    Exercise Solution
    Real World Demo

    Introduction

    Learning outcomes

    1. Understand different types of virtual machines
    2. Be able to run, provision and stop a vagrant virtual machine.


    Virtual machine recap/overview

    A virtual machine is a software implementation of a machine that executes programs like ...

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  13. Mercurial

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  14. Forking on Bitbucket

    Distributed Version Control 101

    We have touched upon version control when discussing the issue of accessing the blog repository whilst working with Pelican. You cloned the blog repository onto your local disc. The fact that you copy the entire repository when issuing

    hg clone <url of remote repository>
    

    is the ...

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