Rust for Python Programmers #3 — Numeric Types!
<p>Welcome back, intrepid learners! In this exciting part of our Rust journey for Python programmers, we’re diving deep into numeric types. We’ll explore the available types, operations, and conversions in both Python and Rust, shedding light on Rust’s unique concepts along the way.</p>
<h1>Available Numeric Types</h1>
<h1>Python</h1>
<p>Python offers basically 3 kinds of built-in numeric types:</p>
<ul>
<li><code>int</code>: represents signed integers of arbitrary precision.</li>
<li><code>float</code>: represents floating-point numbers, following the IEEE 754 standard.</li>
<li><code>complex</code>: represents complex numbers with real and imaginary parts.</li>
</ul>
<h1>Rust</h1>
<p>Rust also provides several numeric types:</p>
<ul>
<li><code>i32</code> and <code>i64</code>: Signed 32-bit and 64-bit integers.</li>
<li><code>u32</code> and <code>u64</code>: Unsigned 32-bit and 64-bit integers.</li>
<li><code>f32</code> and <code>f64</code>: Floating-point numbers, akin to Python's <code>float</code>.</li>
<li><code>complex</code> (using external crates): Rust does not have a built-in complex type, but libraries like <code>num-complex</code> can be used.</li>
</ul>
<h1>Signed and Unsigned Numbers</h1>
<p>In Rust, the distinction between signed and unsigned integers is essential. Signed integers (like <code>i32</code>) can represent both positive and negative values, while unsigned integers (like <code>u32</code>) represent only non-negative values. This distinction ensures memory safety and reduces common programming errors.</p>
<p>On the other hand, in Python, all integers are represented as signed integers. This means that they can represent both positive and negative values, and there’s no separate type for representing only non-negative values, as is the case with unsigned integers.</p>
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