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Ok-landscape
GitHub Repository: Ok-landscape/computational-pipeline
Path: blob/main/notebooks/published/bezier_curve_drawing/bezier_curve_drawing_posts.txt
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# Social Media Posts: Bézier Curve Drawing
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## SHORT-FORM POSTS
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### Twitter/X (280 chars)
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Ever wonder how fonts and graphics stay smooth at any zoom? Bézier curves! Just a few control points create perfectly smooth paths using Bernstein polynomials: B(t) = Σ C(n,i)·tⁱ·(1-t)ⁿ⁻ⁱ·Pᵢ
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#Python #Math #ComputerGraphics #Coding
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---
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### Bluesky (300 chars)
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Explored the mathematics behind Bézier curves today. These elegant parametric curves use Bernstein polynomials to interpolate control points: B(t) = Σ C(n,i)·tⁱ·(1-t)ⁿ⁻ⁱ·Pᵢ
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From car body design to vector fonts, they're everywhere in graphics.
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#Python #Mathematics
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---
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### Threads (500 chars)
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Just built a complete Bézier curve implementation from scratch!
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These curves are everywhere - fonts, SVG graphics, animation paths, CAD design. The math is beautiful:
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B(t) = Σ C(n,i)·tⁱ·(1-t)ⁿ⁻ⁱ·Pᵢ
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Key insights:
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• Curve always passes through first & last control points
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• Stays inside the convex hull of control points
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• De Casteljau's algorithm gives numerical stability
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• Rational Bézier curves can draw perfect circles!
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Drew a heart shape and decorative patterns to demo the power.
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---
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### Mastodon (500 chars)
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Implemented Bézier curves with both Bernstein polynomial evaluation and De Casteljau's recursive algorithm.
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Bernstein form: Bᵢ,ₙ(t) = C(n,i)·tⁱ·(1-t)ⁿ⁻ⁱ
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De Casteljau recursion: Pᵢ⁽ʳ⁾(t) = (1-t)·Pᵢ⁽ʳ⁻¹⁾ + t·Pᵢ₊₁⁽ʳ⁻¹⁾
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Also explored rational Bézier curves - with weight w₁ = 1/√2, you get an exact circular arc! The notebook includes visualizations of control point manipulation and C¹ continuous splines.
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#Python #Math #CompSci
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---
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## LONG-FORM POSTS
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### Reddit (r/learnpython or r/math)
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**Title:** I built a complete Bézier curve implementation from scratch - here's how the math works
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**Body:**
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I just finished a deep dive into Bézier curves and wanted to share what I learned!
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**What are Bézier curves?**
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They're parametric curves used everywhere - fonts, vector graphics, CAD, animation. Named after Pierre Bézier who developed them for car body design at Renault.
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**The core math (ELI5 version):**
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Imagine you have a few "control points" - the curve smoothly flows from the first to the last, being "pulled" toward the middle ones. The formula uses Bernstein polynomials:
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B(t) = Σ C(n,i)·tⁱ·(1-t)ⁿ⁻ⁱ·Pᵢ
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Where t goes from 0 to 1, and C(n,i) is the binomial coefficient.
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**Cool properties I discovered:**
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1. **Endpoint interpolation** - curve passes through P₀ and Pₙ exactly
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2. **Convex hull containment** - curve never leaves the "boundary" of control points
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3. **Tangent behavior** - slope at endpoints matches direction to adjacent control point
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4. **Affine invariance** - rotate/scale control points, curve transforms identically
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**De Casteljau's algorithm:**
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Instead of computing polynomials directly, you can recursively interpolate between points:
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P⁽ʳ⁾(t) = (1-t)·P⁽ʳ⁻¹⁾ + t·P⁽ʳ⁻¹⁾
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This is more numerically stable and shows the geometric construction beautifully.
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**Rational Bézier curves:**
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By adding weights to control points, you can draw exact conic sections. With weight 1/√2 on the middle control point of a quadratic curve, you get a perfect circular arc!
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**What I built:**
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- Bernstein polynomial evaluation
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- De Casteljau's algorithm
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- Rational Bézier curves
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- Composite splines with C¹ continuity
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- Fun shapes (heart, decorative patterns)
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Check out the full notebook with code and visualizations:
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https://cocalc.com/github/Ok-landscape/computational-pipeline/blob/main/notebooks/published/bezier_curve_drawing.ipynb
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Happy to answer questions about the implementation!
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---
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### Facebook (500 chars)
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Ever wonder how computer graphics create perfectly smooth curves? Meet Bézier curves!
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These mathematical gems use just a few control points to generate beautiful, smooth paths. They're behind everything from the fonts you're reading to car body designs.
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I built an interactive notebook exploring the math and creating cool shapes - including a heart and decorative patterns!
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The magic formula: B(t) = Σ C(n,i)·tⁱ·(1-t)ⁿ⁻ⁱ·Pᵢ
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Check it out: https://cocalc.com/github/Ok-landscape/computational-pipeline/blob/main/notebooks/published/bezier_curve_drawing.ipynb
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---
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### LinkedIn (1000 chars)
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**Exploring the Mathematics Behind Smooth Curves in Computer Graphics**
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Just completed a comprehensive implementation of Bézier curves, the mathematical foundation behind vector graphics, font rendering, and CAD systems.
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**Technical Highlights:**
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• Implemented Bernstein polynomial evaluation: Bᵢ,ₙ(t) = C(n,i)·tⁱ·(1-t)ⁿ⁻ⁱ
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• Built De Casteljau's recursive algorithm for numerically stable curve evaluation
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• Explored rational Bézier curves for exact conic section representation
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• Created composite splines with C¹ continuity for complex shapes
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**Key Skills Demonstrated:**
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- Mathematical modeling and parametric curve theory
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- NumPy/SciPy for scientific computing
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- Matplotlib for technical visualization
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- Algorithm implementation (recursive and iterative approaches)
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**Applications:**
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These curves are fundamental to graphics programming, game development, font design (TrueType, PostScript), and industrial CAD. Understanding the underlying mathematics enables better optimization and customization of graphics systems.
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View the complete implementation with interactive visualizations:
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https://cocalc.com/github/Ok-landscape/computational-pipeline/blob/main/notebooks/published/bezier_curve_drawing.ipynb
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#Python #Mathematics #ComputerGraphics #DataVisualization #SoftwareDevelopment
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---
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### Instagram (500 chars)
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The art of smooth curves
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These beautiful patterns were created using Bézier curves - the same math that powers fonts, vector graphics, and animation.
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Just a few control points create perfectly smooth paths through Bernstein polynomials:
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B(t) = Σ C(n,i)·tⁱ·(1-t)ⁿ⁻ⁱ·Pᵢ
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The decorative spiral pattern uses 8 connected cubic Bézier segments.
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Also drew a heart shape with just 2 curves and 8 control points!
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Math really is beautiful when you visualize it.
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#python #math #coding #dataviz #computerscience #graphics #visualization #matplotlib
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