Introduction to Programming with Python at USYD Camperdown

Intersect is a pivotal part of Australian research landscapeWe provide robust, innovative services and collaborative technology to support world-class research at our member organisations and in the wider research communityIntersect delivers data storage, compute and analysis platforms, custom engineering, expert consulting and training programs to thousands of researchers every yearIntersect works closely with the ARDC (Australian Research Data Commons) built from ANDS, Nectar, and RDSIntersect is a member of the Software Carpentry Foundation, the NCI (National Computational Infrastructure) and the AAF (Australian Access Federation)

Intersect Australia

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<P>Cost: <STRONG>Free</STRONG> to Researchers and PhD students at the University of Sydney.</P>
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<P><SPAN>The venue is not fitted with desktop PCs. You must <STRONG>bring your own laptop</STRONG> to this course.</SPAN><SPAN></SPAN></P>
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<P><SPAN><SPAN>Proudly presented in association with Sydney Informatics.</SPAN></SPAN></P>
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<H2>Why do this course?</H2>
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<P><SPAN>Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language. And it boasts a rich set of libraries for working with data. </SPAN></P>
<P><SPAN>We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. </SPAN></P>
<P><SPAN>Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation (software-carpentry.org). </SPAN></P>
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<H2>You'll learn:</H2>
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<LI><SPAN>Programming concepts and techniques</SPAN></LI>
<LI><SPAN>Basic syntax, control structures and data types in Python</SPAN></LI>
<LI><SPAN>How to import powerful libraries that support numerical analysis (NumPy) and visualisation (Matplotlib)</SPAN></LI>
<LI><SPAN>Approaches to debugging, testing and defensive programming</SPAN></LI>
<LI><SPAN>How to blend code, output and documentation with Jupyter notebooks</SPAN></LI>
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<H2>The Intersect approach to training</H2>
<P>At Intersect, we work closely with our member universities to develop and deliver training that targets the day-to-day software and technology problems that researchers face. We deliver hands-on courses in a relaxed setting with knowledgeable, helpful trainers who are themselves researchers and who know how researchers work. </P>
<P>Download the <A HREF="https://goo.gl/Y5Wxhr" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">course outline</A>.</P>
<P>For more information visit <STRONG><A HREF="http://learn.intersect.org.au/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Learn.intersect.org.au</A></STRONG></P>

USYD Camperdown

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Introduction to Programming with Python at USYD Camperdown

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Introduction to Programming with Python at USYD Camperdown

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