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	<title>Comfort at 1 AU</title>
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	<description>Some articles, notes and such.</description>
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		<title>Comfort at 1 AU</title>
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		<title>Latex equations using SymPy</title>
		<link>http://oneau.wordpress.com/2011/12/25/latex-sympy/</link>
		<comments>http://oneau.wordpress.com/2011/12/25/latex-sympy/#comments</comments>
		<pubDate>Sun, 25 Dec 2011 13:16:50 +0000</pubDate>
		<dc:creator>Prasanth</dc:creator>
				<category><![CDATA[Python]]></category>
		<category><![CDATA[latex]]></category>
		<category><![CDATA[latex equations]]></category>
		<category><![CDATA[sympy]]></category>

		<guid isPermaLink="false">http://oneau.wordpress.com/?p=486</guid>
		<description><![CDATA[Latex equations using SymPy SymPy is a symbolic mathematics package in Python. Even if you are not interested in performing symbolic mathematical calculations, you should probably install it for one very useful function: sympy.latex(). sympy.latex() converts mathematical expressions into Latex &#8230; <a href="http://oneau.wordpress.com/2011/12/25/latex-sympy/">Continue reading <span class="meta-nav">&#8594;</span></a><img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=oneau.wordpress.com&amp;blog=14743824&amp;post=486&amp;subd=oneau&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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			<media:title type="html">phnair</media:title>
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			<media:title type="html">\frac{1}{\left(x + 1\right) \left(x + 2\right)}</media:title>
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			<media:title type="html">\int x^{2} + e^{x^{2}} \operatorname{sin}\left(x\right)\,dx</media:title>
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		<media:content url="http://latex.codecogs.com/gif.latex?intx,dx=frac12x2" medium="image">
			<media:title type="html">\int x\,dx = \frac{1}{2} x^{2}</media:title>
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		<media:content url="http://latex.codecogs.com/gif.latex?int_12x,dx=frac32" medium="image">
			<media:title type="html">\int_{1}^{2} x\,dx = \frac{3}{2}</media:title>
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		<title>Numpy notes</title>
		<link>http://oneau.wordpress.com/2011/11/05/numpy-notes/</link>
		<comments>http://oneau.wordpress.com/2011/11/05/numpy-notes/#comments</comments>
		<pubDate>Sat, 05 Nov 2011 16:24:39 +0000</pubDate>
		<dc:creator>Prasanth</dc:creator>
				<category><![CDATA[Astronomy]]></category>
		<category><![CDATA[Python]]></category>
		<category><![CDATA[Numpy]]></category>
		<category><![CDATA[numpy axis]]></category>

		<guid isPermaLink="false">http://oneau.wordpress.com/?p=460</guid>
		<description><![CDATA[Numpy notes Short notes on Numpy. Contents Preliminaries N-dimensional array Interpreting the shape of n-dimensional arrays Creating arrays Advantage of arrays over regular Python lists Array data type: dtype Record arrays or &#8220;tables&#8221; Indexing Slicing Index arrays Boolean indexes Array &#8230; <a href="http://oneau.wordpress.com/2011/11/05/numpy-notes/">Continue reading <span class="meta-nav">&#8594;</span></a><img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=oneau.wordpress.com&amp;blog=14743824&amp;post=460&amp;subd=oneau&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<slash:comments>0</slash:comments>
	
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			<media:title type="html">phnair</media:title>
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		<media:content url="http://oneau.files.wordpress.com/2011/11/ngc6503.png?w=300" medium="image">
			<media:title type="html">Flux profile of NGC 6503</media:title>
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			<media:title type="html">Total flux NGC 6503</media:title>
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			<media:title type="html">2D Gaussian</media:title>
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		<title>Equinox and Epoch</title>
		<link>http://oneau.wordpress.com/2011/10/27/equinox-epoch/</link>
		<comments>http://oneau.wordpress.com/2011/10/27/equinox-epoch/#comments</comments>
		<pubDate>Thu, 27 Oct 2011 09:25:15 +0000</pubDate>
		<dc:creator>Prasanth</dc:creator>
				<category><![CDATA[Astronomy]]></category>
		<category><![CDATA[epoch]]></category>
		<category><![CDATA[equinox]]></category>
		<category><![CDATA[J2000]]></category>

		<guid isPermaLink="false">http://oneau.wordpress.com/?p=455</guid>
		<description><![CDATA[Equinox and Epoch The word epoch denotes a particular point in time. In this sense the word has the same meaning in astronomy as it has in day-to-day life. For example, epoch J2000 means the time corresponding to the Julian &#8230; <a href="http://oneau.wordpress.com/2011/10/27/equinox-epoch/">Continue reading <span class="meta-nav">&#8594;</span></a><img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=oneau.wordpress.com&amp;blog=14743824&amp;post=455&amp;subd=oneau&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<slash:comments>0</slash:comments>
	
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			<media:title type="html">phnair</media:title>
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		<title>Refractive index of air and wave length conversion</title>
		<link>http://oneau.wordpress.com/2011/10/12/ref-index/</link>
		<comments>http://oneau.wordpress.com/2011/10/12/ref-index/#comments</comments>
		<pubDate>Wed, 12 Oct 2011 14:22:43 +0000</pubDate>
		<dc:creator>Prasanth</dc:creator>
				<category><![CDATA[Astronomy]]></category>
		<category><![CDATA[Python]]></category>
		<category><![CDATA[refractive index]]></category>
		<category><![CDATA[wave length conversion]]></category>

		<guid isPermaLink="false">http://oneau.wordpress.com/?p=440</guid>
		<description><![CDATA[Refractive index of air Contents Examples Converting wave length of light from vacuum to that in air Converting wave length of light from air to that in vacuum Refractive index Installation Details Comparison with IDLASTRO code The Python module ref_index &#8230; <a href="http://oneau.wordpress.com/2011/10/12/ref-index/">Continue reading <span class="meta-nav">&#8594;</span></a><img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=oneau.wordpress.com&amp;blog=14743824&amp;post=440&amp;subd=oneau&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<slash:comments>0</slash:comments>
	
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			<media:title type="html">phnair</media:title>
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		<title>Line id plot</title>
		<link>http://oneau.wordpress.com/2011/10/01/line-id-plot/</link>
		<comments>http://oneau.wordpress.com/2011/10/01/line-id-plot/#comments</comments>
		<pubDate>Sat, 01 Oct 2011 15:53:54 +0000</pubDate>
		<dc:creator>Prasanth</dc:creator>
				<category><![CDATA[Astronomy]]></category>
		<category><![CDATA[Python]]></category>
		<category><![CDATA[labelling plots]]></category>
		<category><![CDATA[lineid_plot]]></category>

		<guid isPermaLink="false">http://oneau.wordpress.com/?p=425</guid>
		<description><![CDATA[Line identification plots Manually placing labels in a plot, especially if it is crowded, is cumbersome. The Python module lineid_plot, has functions for automatically placing labels in a plot, in such a way that the labels do not overlap with &#8230; <a href="http://oneau.wordpress.com/2011/10/01/line-id-plot/">Continue reading <span class="meta-nav">&#8594;</span></a><img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=oneau.wordpress.com&amp;blog=14743824&amp;post=425&amp;subd=oneau&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<slash:comments>1</slash:comments>
	
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			<media:title type="html">phnair</media:title>
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			<media:title type="html">LineID plot example.</media:title>
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		<item>
		<title>Julian dates for proleptic Gregorian and Julian calendars</title>
		<link>http://oneau.wordpress.com/2011/08/30/jdcal/</link>
		<comments>http://oneau.wordpress.com/2011/08/30/jdcal/#comments</comments>
		<pubDate>Tue, 30 Aug 2011 13:35:36 +0000</pubDate>
		<dc:creator>Prasanth</dc:creator>
				<category><![CDATA[Astronomy]]></category>
		<category><![CDATA[Python]]></category>
		<category><![CDATA[Gregorian calendar]]></category>
		<category><![CDATA[Julian calendar]]></category>
		<category><![CDATA[julian date]]></category>
		<category><![CDATA[leap year]]></category>

		<guid isPermaLink="false">http://oneau.wordpress.com/?p=408</guid>
		<description><![CDATA[Julian dates for proleptic Gregorian and Julian calendars The Python module jdcal provides a few functions for calculating Julian dates for Gregorian and Julian calendar dates.  Julian dates are stored as two floating point numbers for maximum precision. Contents Installation &#8230; <a href="http://oneau.wordpress.com/2011/08/30/jdcal/">Continue reading <span class="meta-nav">&#8594;</span></a><img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=oneau.wordpress.com&amp;blog=14743824&amp;post=408&amp;subd=oneau&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>http://oneau.wordpress.com/2011/08/30/jdcal/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
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			<media:title type="html">phnair</media:title>
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		<item>
		<title>Angles &#8211; angles and angular positions in Python</title>
		<link>http://oneau.wordpress.com/2011/08/11/angles/</link>
		<comments>http://oneau.wordpress.com/2011/08/11/angles/#comments</comments>
		<pubDate>Thu, 11 Aug 2011 11:22:11 +0000</pubDate>
		<dc:creator>Prasanth</dc:creator>
				<category><![CDATA[Astronomy]]></category>
		<category><![CDATA[Python]]></category>
		<category><![CDATA[angles]]></category>
		<category><![CDATA[angular position]]></category>
		<category><![CDATA[bearing]]></category>
		<category><![CDATA[position angle]]></category>
		<category><![CDATA[separation]]></category>

		<guid isPermaLink="false">http://oneau.wordpress.com/?p=398</guid>
		<description><![CDATA[Python classes and functions for representing angles The Python module angles provides classes and functions for representing and manipulating angles. Contents Overview Installation Functions Convert angles between various units Normalize angles into a given range Convert between decimal and sexagesimal &#8230; <a href="http://oneau.wordpress.com/2011/08/11/angles/">Continue reading <span class="meta-nav">&#8594;</span></a><img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=oneau.wordpress.com&amp;blog=14743824&amp;post=398&amp;subd=oneau&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>http://oneau.wordpress.com/2011/08/11/angles/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
	
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			<media:title type="html">phnair</media:title>
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		<title>Twitter Journal Club and Astronomy At StackExchange</title>
		<link>http://oneau.wordpress.com/2011/06/23/twitter-journal-club-and-astronomy-at-stackexchange/</link>
		<comments>http://oneau.wordpress.com/2011/06/23/twitter-journal-club-and-astronomy-at-stackexchange/#comments</comments>
		<pubDate>Thu, 23 Jun 2011 12:54:27 +0000</pubDate>
		<dc:creator>Prasanth</dc:creator>
				<category><![CDATA[Astronomy]]></category>

		<guid isPermaLink="false">http://oneau.wordpress.com/?p=377</guid>
		<description><![CDATA[A few days ago a new initiative was started on Twitter, with the aim of organizing an Astronomy Journal Club like discussion using Twitter. There is a related blog at astrojournalclub.wordpress.com. This idea has attracted lot of interest from astronomers, going by &#8230; <a href="http://oneau.wordpress.com/2011/06/23/twitter-journal-club-and-astronomy-at-stackexchange/">Continue reading <span class="meta-nav">&#8594;</span></a><img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=oneau.wordpress.com&amp;blog=14743824&amp;post=377&amp;subd=oneau&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>http://oneau.wordpress.com/2011/06/23/twitter-journal-club-and-astronomy-at-stackexchange/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
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			<media:title type="html">phnair</media:title>
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		<item>
		<title>Simple statistics with SciPy</title>
		<link>http://oneau.wordpress.com/2011/02/28/simple-statistics-with-scipy/</link>
		<comments>http://oneau.wordpress.com/2011/02/28/simple-statistics-with-scipy/#comments</comments>
		<pubDate>Mon, 28 Feb 2011 13:15:31 +0000</pubDate>
		<dc:creator>Prasanth</dc:creator>
				<category><![CDATA[Python]]></category>
		<category><![CDATA[scipy]]></category>
		<category><![CDATA[statistics]]></category>

		<guid isPermaLink="false">http://oneau.wordpress.com/?p=347</guid>
		<description><![CDATA[Simple statistics with SciPy Contents Introduction Descriptive statistics Probability distributions Probability density function (PDF) and probability mass function (PMF) Cumulative density function (CDF) Percent point function (PPF) or inverse cumulative function Survival function (SF) Inverse survival function (ISF) Random variates &#8230; <a href="http://oneau.wordpress.com/2011/02/28/simple-statistics-with-scipy/">Continue reading <span class="meta-nav">&#8594;</span></a><img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=oneau.wordpress.com&amp;blog=14743824&amp;post=347&amp;subd=oneau&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<slash:comments>3</slash:comments>
	
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			<media:title type="html">phnair</media:title>
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			<media:title type="html">binom_pmf</media:title>
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			<media:title type="html">norm_cdf</media:title>
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		<media:content url="http://oneau.files.wordpress.com/2011/02/norm_ppf.png" medium="image">
			<media:title type="html">norm_ppf</media:title>
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			<media:title type="html">norm_sf</media:title>
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			<media:title type="html">fig_2_3</media:title>
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		<title>Python Boot Camp</title>
		<link>http://oneau.wordpress.com/2010/12/28/python-boot-camp/</link>
		<comments>http://oneau.wordpress.com/2010/12/28/python-boot-camp/#comments</comments>
		<pubDate>Tue, 28 Dec 2010 12:31:59 +0000</pubDate>
		<dc:creator>Prasanth</dc:creator>
				<category><![CDATA[Python]]></category>
		<category><![CDATA[boot camp]]></category>

		<guid isPermaLink="false">http://oneau.wordpress.com/?p=321</guid>
		<description><![CDATA[Python boot camp [Update 2011/09/02: A Python intro. for scientific programmers is available at http://scipy-lectures.github.com/index.html; written by experts!] A fast, really fast, introduction to Python, intended to complement documents such as Python4Astronomers, Practical Scientific Computing in Python (PDF file) and &#8230; <a href="http://oneau.wordpress.com/2010/12/28/python-boot-camp/">Continue reading <span class="meta-nav">&#8594;</span></a><img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=oneau.wordpress.com&amp;blog=14743824&amp;post=321&amp;subd=oneau&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<slash:comments>1</slash:comments>
	
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