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	<title>advanced Archives - Petamind</title>
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	<title>advanced Archives - Petamind</title>
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		<title>Advanced Python: Object operations and comparisons</title>
		<link>https://petaminds.com/advanced-python-object-operations-and-comparisons/</link>
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		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Wed, 22 Jul 2020 22:53:16 +0000</pubDate>
				<category><![CDATA[data science]]></category>
		<category><![CDATA[full-stack]]></category>
		<category><![CDATA[Project]]></category>
		<category><![CDATA[advanced]]></category>
		<category><![CDATA[comparison]]></category>
		<category><![CDATA[object]]></category>
		<category><![CDATA[operator]]></category>
		<category><![CDATA[python]]></category>
		<guid isPermaLink="false">https://petaminds.com/?p=2536</guid>

					<description><![CDATA[<p>In many cases, it is convenient to perform mathematical operations on objects rather than numerical values. Python classes have the ability to emulate the behaviour&#160;of numeric values&#160;to support operations like addition and subtraction. You can override many more to support number-like functionality. Numeric functions In the following table, the right column contains&#160;expressions that cause these [&#8230;]</p>
<p>The post <a href="https://petaminds.com/advanced-python-object-operations-and-comparisons/">Advanced Python: Object operations and comparisons</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
]]></description>
		
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		<title>Advanced Python: classes String and computed attribute</title>
		<link>https://petaminds.com/advanced-python-classes-string-and-computed-attribute/</link>
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		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Wed, 15 Jul 2020 02:48:33 +0000</pubDate>
				<category><![CDATA[data science]]></category>
		<category><![CDATA[front-end]]></category>
		<category><![CDATA[advanced]]></category>
		<category><![CDATA[classs]]></category>
		<category><![CDATA[computed attribute]]></category>
		<category><![CDATA[enum]]></category>
		<category><![CDATA[object]]></category>
		<category><![CDATA[python]]></category>
		<category><![CDATA[repr]]></category>
		<guid isPermaLink="false">https://petaminds.com/?p=2448</guid>

					<description><![CDATA[<p>This article demonstrates more advanced features of Python classes and their customisation. Specifically, how enum objects are created, class to strings, and computed attribute. Class string values A string is typically&#160;an informal representation of the object.&#160;However, it&#8217;s just a nicely in human-readable form. Python provides 2 common methods, i.e. str() and repr(). We can customise the [&#8230;]</p>
<p>The post <a href="https://petaminds.com/advanced-python-classes-string-and-computed-attribute/">Advanced Python: classes String and computed attribute</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
]]></description>
		
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		<title>Advanced python: collections</title>
		<link>https://petaminds.com/advanced-python-part-3/</link>
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		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Mon, 29 Jun 2020 01:01:42 +0000</pubDate>
				<category><![CDATA[data science]]></category>
		<category><![CDATA[front-end]]></category>
		<category><![CDATA[Project]]></category>
		<category><![CDATA[advanced]]></category>
		<category><![CDATA[collections]]></category>
		<category><![CDATA[counter]]></category>
		<category><![CDATA[defaultdict]]></category>
		<category><![CDATA[deque]]></category>
		<category><![CDATA[namedtuple]]></category>
		<category><![CDATA[python]]></category>
		<guid isPermaLink="false">https://petaminds.com/?p=2450</guid>

					<description><![CDATA[<p>In&#160;part 2, we introduced advanced python knowledge with built-in functions and other useful tools for sequence iteration, data transformation. Advanced python part 3 will continue with collections to manipulate our data. Named tuple Suppose we want to define a data structure&#160;to represent a geometric point on a typical x and y-axis. We could easily do [&#8230;]</p>
<p>The post <a href="https://petaminds.com/advanced-python-part-3/">Advanced python: collections</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
]]></description>
		
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		<title>Advanced python part 2</title>
		<link>https://petaminds.com/advanced-python-part-2/</link>
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		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Wed, 17 Jun 2020 22:28:48 +0000</pubDate>
				<category><![CDATA[data science]]></category>
		<category><![CDATA[advanced]]></category>
		<category><![CDATA[built-in]]></category>
		<category><![CDATA[function]]></category>
		<category><![CDATA[iterator]]></category>
		<category><![CDATA[itertools]]></category>
		<category><![CDATA[python]]></category>
		<guid isPermaLink="false">https://petaminds.com/?p=2441</guid>

					<description><![CDATA[<p>In part 1, we introduced advanced string, bytes manipulation in Python. This article covers some advanced python knowledge with built-in functions and other useful tools for sequence iteration, data transformation. Useful built-in functions Use any() to return true if any of the sequence values are true Use all() to return true only if all values [&#8230;]</p>
<p>The post <a href="https://petaminds.com/advanced-python-part-2/">Advanced python part 2</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
]]></description>
		
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		<title>Advanced python: Styling, Boolean, String and bytes</title>
		<link>https://petaminds.com/advanced-python-part-1/</link>
					<comments>https://petaminds.com/advanced-python-part-1/#comments</comments>
		
		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Sun, 14 Jun 2020 22:49:54 +0000</pubDate>
				<category><![CDATA[data science]]></category>
		<category><![CDATA[front-end]]></category>
		<category><![CDATA[advanced]]></category>
		<category><![CDATA[byte]]></category>
		<category><![CDATA[python]]></category>
		<category><![CDATA[string]]></category>
		<category><![CDATA[style]]></category>
		<category><![CDATA[truth]]></category>
		<guid isPermaLink="false">https://petaminds.com/?p=2432</guid>

					<description><![CDATA[<p>Let get some more advanced python techniques, tools, libraries. Python coding style It is quite common for beginner to skip the coding style and conventions in any programming language. But when you have a chance to revisit your code or others&#8217; code, you will soon recognise how important of following coding conventions. To learn more, [&#8230;]</p>
<p>The post <a href="https://petaminds.com/advanced-python-part-1/">Advanced python: Styling, Boolean, String and bytes</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
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