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python-cheatsheet
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Numbers, Struct, NumPy

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Jure Šorn 1 year ago
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  1. 10
      README.md
  2. 14
      index.html

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README.md
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@ -487,8 +487,8 @@ Numbers
-------
```python
<int> = int(<float/str/bool>) # Or: math.floor(<float>)
<float> = float(<int/str/bool>) # Or: <real>e±<int>
<complex> = complex(real=0, imag=0) # Or: <real> ± <real>j
<float> = float(<int/str/bool>) # Or: <int/float>e±<int>
<complex> = complex(real=0, imag=0) # Or: <int/float/Fraction> ± <int/float>j
<Fraction> = fractions.Fraction(0, 1) # Or: Fraction(numerator=0, denominator=1)
<Decimal> = decimal.Decimal(<str/int>) # Or: Decimal((sign, digits, exponent))
```
@ -2024,7 +2024,7 @@ b'\x00\x01\x00\x02\x00\x00\x00\x03'
* **`'l'` - long (4/4)**
* **`'q'` - long long (8/8)**
#### Floating point types:
#### Floating point types (struct always uses standard sizes):
* **`'f'` - float (4/4)**
* **`'d'` - double (8/8)**
@ -2646,8 +2646,8 @@ import numpy as np
```
```python
<array> = np.array(<list/list_of_lists>) # Returns a 1d/2d NumPy array.
<array> = np.zeros/ones(<shape>) # Also np.full(<shape>, <el>).
<array> = np.array(<list/list_of_lists/…>) # Returns a 1d/2d/… NumPy array.
<array> = np.zeros/ones/empty(<shape>) # Also np.full(<shape>, <el>).
<array> = np.arange(from_inc, to_exc, ±step) # Also np.linspace(start, stop, len).
<array> = np.random.randint(from_inc, to_exc, <shape>) # Also np.random.random(<shape>).
```

14
index.html
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@ -445,8 +445,8 @@ Point(x=<span class="hljs-number">1</span>, y=<span class="hljs-number">2</span>
</code></pre></div>
<div><h2 id="numbers"><a href="#numbers" name="numbers">#</a>Numbers</h2><pre><code class="python language-python hljs">&lt;int&gt; = int(&lt;float/str/bool&gt;) <span class="hljs-comment"># Or: math.floor(&lt;float&gt;)</span>
&lt;float&gt; = float(&lt;int/str/bool&gt;) <span class="hljs-comment"># Or: &lt;real&gt;e±&lt;int&gt;</span>
&lt;complex&gt; = complex(real=<span class="hljs-number">0</span>, imag=<span class="hljs-number">0</span>) <span class="hljs-comment"># Or: &lt;real&gt; ± &lt;real&gt;j</span>
&lt;float&gt; = float(&lt;int/str/bool&gt;) <span class="hljs-comment"># Or: &lt;int/float&gt;e±&lt;int&gt;</span>
&lt;complex&gt; = complex(real=<span class="hljs-number">0</span>, imag=<span class="hljs-number">0</span>) <span class="hljs-comment"># Or: &lt;int/float/Fraction&gt; ± &lt;int/float&gt;j</span>
&lt;Fraction&gt; = fractions.Fraction(<span class="hljs-number">0</span>, <span class="hljs-number">1</span>) <span class="hljs-comment"># Or: Fraction(numerator=0, denominator=1)</span>
&lt;Decimal&gt; = decimal.Decimal(&lt;str/int&gt;) <span class="hljs-comment"># Or: Decimal((sign, digits, exponent))</span>
</code></pre></div>
@ -1669,16 +1669,16 @@ CompletedProcess(args=[<span class="hljs-string">'bc'</span>, <span class="hljs-
</ul><div><h4 id="besidesnumberspackandunpackalsosupportbytesobjectsaspartofthesequence">Besides numbers, pack() and unpack() also support bytes objects as part of the sequence:</h4><ul>
<li><strong><code class="python hljs"><span class="hljs-string">'c'</span></code> - A bytes object with a single element. For pad byte use <code class="python hljs"><span class="hljs-string">'x'</span></code>.</strong></li>
<li><strong><code class="apache hljs"><span class="hljs-section">'&lt;n&gt;s'</span><span class="hljs-attribute"></span></code> - A bytes object with n elements.</strong></li>
</ul></div></div><div><div><h4 id="integertypesuseacapitalletterforunsignedtypeminimumandstandardsizesareinbrackets">Integer types. Use a capital letter for unsigned type. Minimum and standard sizes are in brackets:</h4><ul>
</ul><div><h4 id="integertypesuseacapitalletterforunsignedtypeminimumandstandardsizesareinbrackets">Integer types. Use a capital letter for unsigned type. Minimum and standard sizes are in brackets:</h4><ul>
<li><strong><code class="python hljs"><span class="hljs-string">'b'</span></code> - char (1/1)</strong></li>
<li><strong><code class="python hljs"><span class="hljs-string">'h'</span></code> - short (2/2)</strong></li>
<li><strong><code class="python hljs"><span class="hljs-string">'i'</span></code> - int (2/4)</strong></li>
<li><strong><code class="python hljs"><span class="hljs-string">'l'</span></code> - long (4/4)</strong></li>
<li><strong><code class="python hljs"><span class="hljs-string">'q'</span></code> - long long (8/8)</strong></li>
</ul></div><div><h4 id="floatingpointtypes">Floating point types:</h4><ul>
</ul><div><h4 id="floatingpointtypesstructalwaysusesstandardsizes">Floating point types (struct always uses standard sizes):</h4><ul>
<li><strong><code class="python hljs"><span class="hljs-string">'f'</span></code> - float (4/4)</strong></li>
<li><strong><code class="python hljs"><span class="hljs-string">'d'</span></code> - double (8/8)</strong></li>
</ul></div></div>
</ul></div></div></div></div><div></div>
@ -2167,8 +2167,8 @@ $ snakeviz test.prof
</code></pre></div>
<pre><code class="python language-python hljs">&lt;array&gt; = np.array(&lt;list/list_of_lists&gt;) <span class="hljs-comment"># Returns a 1d/2d NumPy array.</span>
&lt;array&gt; = np.zeros/ones(&lt;shape&gt;) <span class="hljs-comment"># Also np.full(&lt;shape&gt;, &lt;el&gt;).</span>
<pre><code class="python language-python hljs">&lt;array&gt; = np.array(&lt;list/list_of_lists/…&gt;) <span class="hljs-comment"># Returns a 1d/2d/… NumPy array.</span>
&lt;array&gt; = np.zeros/ones/empty(&lt;shape&gt;) <span class="hljs-comment"># Also np.full(&lt;shape&gt;, &lt;el&gt;).</span>
&lt;array&gt; = np.arange(from_inc, to_exc, ±step) <span class="hljs-comment"># Also np.linspace(start, stop, len).</span>
&lt;array&gt; = np.random.randint(from_inc, to_exc, &lt;shape&gt;) <span class="hljs-comment"># Also np.random.random(&lt;shape&gt;).</span>
</code></pre>

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