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	<title>matplotlib &#8211; Alan Richmond</title>
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	<link>https://tuxar.uk</link>
	<description>Scientific systems programmer (ex NASA, ESA/ESO, Hubble), web developer, online retailer (retired)</description>
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	<title>matplotlib &#8211; Alan Richmond</title>
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		<title>Multi-pendulum Harmonograph simulator using numpy and matplotlib</title>
		<link>https://tuxar.uk/multi-pendulum-harmonograph-simulator-using-numpy-and-matplotlib/</link>
					<comments>https://tuxar.uk/multi-pendulum-harmonograph-simulator-using-numpy-and-matplotlib/#comments</comments>
		
		<dc:creator><![CDATA[Alan]]></dc:creator>
		<pubDate>Thu, 22 Jun 2017 11:40:04 +0000</pubDate>
				<category><![CDATA[Harmonograph]]></category>
		<category><![CDATA[Pyplot]]></category>
		<category><![CDATA[graphics]]></category>
		<category><![CDATA[matplotlib]]></category>
		<category><![CDATA[numpy]]></category>
		<category><![CDATA[random]]></category>
		<guid isPermaLink="false">http://python3.codes/?p=829</guid>

					<description><![CDATA[This is a simple harmonograph simulator to generate random-ish harmonographs. It asks for the number of pendulums, and exits if... <span class="gridview-grid-post-read-more"><a href="https://tuxar.uk/multi-pendulum-harmonograph-simulator-using-numpy-and-matplotlib/">read more<span class="gridview-sr-only"> Multi-pendulum Harmonograph simulator using numpy and matplotlib</span></a></span>]]></description>
		
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			<slash:comments>2</slash:comments>
		
		
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		<title>A Neural Network in Python, Part 2: activation functions, bias, SGD, etc.</title>
		<link>https://tuxar.uk/a-neural-network-in-python-part-2-activation-functions-bias-sgd-etc/</link>
					<comments>https://tuxar.uk/a-neural-network-in-python-part-2-activation-functions-bias-sgd-etc/#comments</comments>
		
		<dc:creator><![CDATA[Alan]]></dc:creator>
		<pubDate>Thu, 09 Feb 2017 14:38:43 +0000</pubDate>
				<category><![CDATA[Advanced]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[dict]]></category>
		<category><![CDATA[graphics]]></category>
		<category><![CDATA[lambda]]></category>
		<category><![CDATA[matplotlib]]></category>
		<category><![CDATA[matrices]]></category>
		<category><![CDATA[neural network]]></category>
		<category><![CDATA[numpy]]></category>
		<category><![CDATA[random]]></category>
		<category><![CDATA[sin]]></category>
		<guid isPermaLink="false">http://python3.codes/?p=774</guid>

					<description><![CDATA[This is Part 2 of A Neural Network in Python, which was a very simple neural network to learn the... <span class="gridview-grid-post-read-more"><a href="https://tuxar.uk/a-neural-network-in-python-part-2-activation-functions-bias-sgd-etc/">read more<span class="gridview-sr-only"> A Neural Network in Python, Part 2: activation functions, bias, SGD, etc.</span></a></span>]]></description>
		
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			<slash:comments>1</slash:comments>
		
		
			</item>
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		<title>A Neural Network in Python, Part 1: sigmoid function, gradient descent &#038; backpropagation</title>
		<link>https://tuxar.uk/neural-network-python-part-1-sigmoid-function-gradient-descent-backpropagation/</link>
					<comments>https://tuxar.uk/neural-network-python-part-1-sigmoid-function-gradient-descent-backpropagation/#comments</comments>
		
		<dc:creator><![CDATA[Alan]]></dc:creator>
		<pubDate>Tue, 31 Jan 2017 15:10:22 +0000</pubDate>
				<category><![CDATA[Advanced]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[matplotlib]]></category>
		<category><![CDATA[numpy]]></category>
		<category><![CDATA[random]]></category>
		<guid isPermaLink="false">http://python3.codes/?p=719</guid>

					<description><![CDATA[In this article, I&#8217;ll show you a toy example to learn the XOR logical function. My objective is to make it... <span class="gridview-grid-post-read-more"><a href="https://tuxar.uk/neural-network-python-part-1-sigmoid-function-gradient-descent-backpropagation/">read more<span class="gridview-sr-only"> A Neural Network in Python, Part 1: sigmoid function, gradient descent &#038; backpropagation</span></a></span>]]></description>
		
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			<slash:comments>4</slash:comments>
		
		
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		<title>Make &#8216;Computer Music&#8217; with a very small program!</title>
		<link>https://tuxar.uk/make-computer-music-with-a-very-small-program/</link>
					<comments>https://tuxar.uk/make-computer-music-with-a-very-small-program/#comments</comments>
		
		<dc:creator><![CDATA[Alan]]></dc:creator>
		<pubDate>Mon, 11 May 2015 14:14:31 +0000</pubDate>
				<category><![CDATA[Audio]]></category>
		<category><![CDATA[Intermediate]]></category>
		<category><![CDATA[bit operations]]></category>
		<category><![CDATA[chr]]></category>
		<category><![CDATA[eval]]></category>
		<category><![CDATA[matplotlib]]></category>
		<category><![CDATA[pyaudio]]></category>
		<guid isPermaLink="false">http://python3.codes/?p=118</guid>

					<description><![CDATA[This is a fun little program to generate &#8216;computer music&#8217;, specifically &#8216;bytebeats&#8217; which sound like the chip music featured in the early... <span class="gridview-grid-post-read-more"><a href="https://tuxar.uk/make-computer-music-with-a-very-small-program/">read more<span class="gridview-sr-only"> Make &#8216;Computer Music&#8217; with a very small program!</span></a></span>]]></description>
		
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			<slash:comments>1</slash:comments>
		
		
			</item>
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		<title>Easy Graph Plotting with Pyplot</title>
		<link>https://tuxar.uk/easy-graph-plotting-with-pyplot/</link>
					<comments>https://tuxar.uk/easy-graph-plotting-with-pyplot/#comments</comments>
		
		<dc:creator><![CDATA[Alan]]></dc:creator>
		<pubDate>Thu, 07 May 2015 15:09:36 +0000</pubDate>
				<category><![CDATA[Basic]]></category>
		<category><![CDATA[Pyplot]]></category>
		<category><![CDATA[graphics]]></category>
		<category><![CDATA[import]]></category>
		<category><![CDATA[libraries]]></category>
		<category><![CDATA[matplotlib]]></category>
		<category><![CDATA[numpy]]></category>
		<guid isPermaLink="false">http://python3.codes/?p=133</guid>

					<description><![CDATA[Graphs (also known as charts) are an indispensible visual aid for conveying a lot of data in an easy-to-digest form.... <span class="gridview-grid-post-read-more"><a href="https://tuxar.uk/easy-graph-plotting-with-pyplot/">read more<span class="gridview-sr-only"> Easy Graph Plotting with Pyplot</span></a></span>]]></description>
		
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			<slash:comments>1</slash:comments>
		
		
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