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| <!doctype html> | ||
| <html> | ||
| <head> | ||
| <meta charset="utf-8"> | ||
| <meta http-equiv="X-UA-Compatible" content="chrome=1"> | ||
| <title>Python-Sp15 by uiuc-cse</title> | ||
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| <link rel="stylesheet" href="stylesheets/styles.css"> | ||
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| <![endif]--> | ||
| </head> | ||
| <body> | ||
| <div class="wrapper"> | ||
| <header> | ||
| <h1>Python-Sp15</h1> | ||
| <p>CSE Training Workshops in Python, Spring 2015</p> | ||
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| <p class="view"><a href="https://github.com/uiuc-cse/python-sp15">View the Project on GitHub <small>uiuc-cse/python-sp15</small></a></p> | ||
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| <ul> | ||
| <li><a href="https://github.com/uiuc-cse/python-sp15/zipball/master">Download <strong>ZIP File</strong></a></li> | ||
| <li><a href="https://github.com/uiuc-cse/python-sp15/tarball/master">Download <strong>TAR Ball</strong></a></li> | ||
| <li><a href="https://github.com/uiuc-cse/python-sp15">View On <strong>GitHub</strong></a></li> | ||
| </ul> | ||
| </header> | ||
| <section> | ||
| <p>All workshops will be held in an EWS computer laboratory. There is no sign-up for this series—walk-ins are welcome and encouraged!</p> | ||
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| <h1> | ||
| <a id="setup-canopy-python-and-i-python-notebook" class="anchor" href="#setup-canopy-python-and-i-python-notebook" aria-hidden="true"><span class="octicon octicon-link"></span></a>Setup (Canopy Python and I-Python Notebook)</h1> | ||
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| <p>For most of the lessons, we will require outside modules. While several methods for managing your own library of modules exists, we will use <a href="https://www.enthought.com/products/canopy/">Enthought Canopy</a>, which is installed on your EWS machines already. However, it works best when you are logged in with a Canopy user account, and <a href="https://store.enthought.com/accounts/login/?next=/licenses/academic/request/">free academic accounts</a> are available and recommended.</p> | ||
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| <p>To load Canopy, please input the following at a terminal window:</p> | ||
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| <pre><code>module load canopy | ||
| </code></pre> | ||
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| <p>In many cases, we will also use <a href="http://ipython.org/">I-Python</a> notebooks, which are interactive workbooks for code. To open these, please navigate on the command line to your home directory (or wherever your downloaded <code>ipynb</code> files are located), and open the I-Python notebook interface:</p> | ||
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| <pre><code>cd | ||
| module load canopy | ||
| ipython notebook & | ||
| </code></pre> | ||
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| <h1> | ||
| <a id="introduction-to-python" class="anchor" href="#introduction-to-python" aria-hidden="true"><span class="octicon octicon-link"></span></a><a href="#intro">Introduction to Python</a> | ||
| </h1> | ||
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| <h1> | ||
| <a id="numerical-programming-with-python" class="anchor" href="#numerical-programming-with-python" aria-hidden="true"><span class="octicon octicon-link"></span></a><a href="#numpy">Numerical Programming with Python</a> | ||
| </h1> | ||
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| <h1> | ||
| <a id="pandas-python-data-analysis-library" class="anchor" href="#pandas-python-data-analysis-library" aria-hidden="true"><span class="octicon octicon-link"></span></a><a href="#pandas">Pandas (Python Data Analysis) Library</a> | ||
| </h1> | ||
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| <h1> | ||
| <a id="object-oriented--advanced-programming-in-python" class="anchor" href="#object-oriented--advanced-programming-in-python" aria-hidden="true"><span class="octicon octicon-link"></span></a><a href="#oop">Object-Oriented & Advanced Programming in Python</a> | ||
| </h1> | ||
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| <h1> | ||
| <a id="the-ipython-environment--notebooks" class="anchor" href="#the-ipython-environment--notebooks" aria-hidden="true"><span class="octicon octicon-link"></span></a><a href="#ipython">The IPython Environment & Notebooks</a> | ||
| </h1> | ||
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| <h1> | ||
| <a id="mpi4py" class="anchor" href="#mpi4py" aria-hidden="true"><span class="octicon octicon-link"></span></a><a href="#mpi4py">MPI4Py</a> | ||
| </h1> | ||
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| <h1> | ||
| <a id="pyopencl" class="anchor" href="#pyopencl" aria-hidden="true"><span class="octicon octicon-link"></span></a><a href="#pyopencl">PyOpenCL</a> | ||
| </h1> | ||
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| <h1> | ||
| <a id="machine-learning-in-python" class="anchor" href="#machine-learning-in-python" aria-hidden="true"><span class="octicon octicon-link"></span></a><a href="#sklearn">Machine Learning in Python</a> | ||
| </h1> | ||
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| <h1> | ||
| <a id="debugging-python-pdb" class="anchor" href="#debugging-python-pdb" aria-hidden="true"><span class="octicon octicon-link"></span></a><a href="#pdb">Debugging Python (PDB)</a> | ||
| </h1> | ||
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| <h1> | ||
| <a id="c--fortran-interfaces" class="anchor" href="#c--fortran-interfaces" aria-hidden="true"><span class="octicon octicon-link"></span></a><a href="#api">C & Fortran Interfaces</a> | ||
| </h1> | ||
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| <h1> | ||
| <a id="numba--optimization-in-python" class="anchor" href="#numba--optimization-in-python" aria-hidden="true"><span class="octicon octicon-link"></span></a><a href="#numba">Numba & Optimization in Python</a> | ||
| </h1> | ||
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| <h1> | ||
| <a id="symbolic-manipulation-with-sympy" class="anchor" href="#symbolic-manipulation-with-sympy" aria-hidden="true"><span class="octicon octicon-link"></span></a><a href="#sympy">Symbolic Manipulation with SymPy</a> | ||
| </h1> | ||
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| <h1> | ||
| <a id="about-these-workshops" class="anchor" href="#about-these-workshops" aria-hidden="true"><span class="octicon octicon-link"></span></a>About These Workshops</h1> | ||
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| <h3> | ||
| <a id="contributors" class="anchor" href="#contributors" aria-hidden="true"><span class="octicon octicon-link"></span></a>Contributors</h3> | ||
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| <p>Neal Davis and Lakshmi Rao developed these materials. This content is available under a Creative Commons Attribution 3.0 Unported License.</p> | ||
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| <p><img src="https://i.creativecommons.org/l/by/4.0/88x31.png" alt="CC-BY-4.0"></p> | ||
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| <h1> | ||
| <a id="contact" class="anchor" href="#contact" aria-hidden="true"><span class="octicon octicon-link"></span></a>Contact</h1> | ||
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| <p>If you have any questions about course availability, concepts, or content, please contact Neal Davis, Training Coördinator for Computational Science & Engineering, at training at cse dot illinois dot edu.</p> | ||
| </section> | ||
| <footer> | ||
| <p>This project is maintained by <a href="https://github.com/uiuc-cse">uiuc-cse</a></p> | ||
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| {"name":"Python-Sp15","tagline":"CSE Training Workshops in Python, Spring 2015","body":"All workshops will be held in an EWS computer laboratory. There is no sign-up for this series—walk-ins are welcome and encouraged!\r\n\r\n# Setup (Canopy Python and I-Python Notebook)\r\n\r\nFor most of the lessons, we will require outside modules. While several methods for managing your own library of modules exists, we will use [Enthought Canopy](https://www.enthought.com/products/canopy/), which is installed on your EWS machines already. However, it works best when you are logged in with a Canopy user account, and [free academic accounts](https://store.enthought.com/accounts/login/?next=/licenses/academic/request/) are available and recommended.\r\n\r\nTo load Canopy, please input the following at a terminal window:\r\n\r\n module load canopy\r\n\r\nIn many cases, we will also use [I-Python](http://ipython.org/) notebooks, which are interactive workbooks for code. To open these, please navigate on the command line to your home directory (or wherever your downloaded `ipynb` files are located), and open the I-Python notebook interface:\r\n\r\n cd\r\n module load canopy\r\n ipython notebook &\r\n\r\n# [Introduction to Python](#intro)\r\n\r\n# [Numerical Programming with Python](#numpy)\r\n\r\n# [Pandas (Python Data Analysis) Library](#pandas)\r\n\r\n# [Object-Oriented & Advanced Programming in Python](#oop)\r\n\r\n# [The IPython Environment & Notebooks](#ipython)\r\n\r\n# [MPI4Py](#mpi4py)\r\n\r\n# [PyOpenCL](#pyopencl)\r\n\r\n# [Machine Learning in Python](#sklearn)\r\n\r\n# [Debugging Python (PDB)](#pdb)\r\n\r\n# [C & Fortran Interfaces](#api)\r\n\r\n# [Numba & Optimization in Python](#numba)\r\n\r\n# [Symbolic Manipulation with SymPy](#sympy)\r\n\r\n# About These Workshops\r\n### Contributors\r\n\r\nNeal Davis and Lakshmi Rao developed these materials. This content is available under a Creative Commons Attribution 3.0 Unported License.\r\n\r\n\r\n\r\n# Contact\r\nIf you have any questions about course availability, concepts, or content, please contact Neal Davis, Training Coördinator for Computational Science & Engineering, at training at cse dot illinois dot edu.\r\n","google":"UA-53962544-7","note":"Don't delete this file! It's used internally to help with page regeneration."} |
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