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Diamond Harlequin Pattern Super sale Wall Cookie supreme Reusable Stencil Craft DIY

Diamond Harlequin Pattern Wall Cookie DIY Craft Reusable Stencil

$3

Diamond Harlequin Pattern Wall Cookie DIY Craft Reusable Stencil

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Product description

Size:3.5 Inch

Create exciting projects using these stencils. Sniggle Sloth stencils are great for use on wood, paper, cookies and other baked goods, fabric, walls, furniture and more. Use alone or combine with other Sniggle Sloth stencils for something truly unique. The creative possibilities are only limited to your imagination.

Works great with most paints, pens, pencils, icing and more for colorful looks. Great for the experienced crafter, or as a fun project for new crafters.

Our stencils are precision laser cut out of sturdy, reusable, 10 mil mylar. The stencils shown are available in a variety of sizes. The sizes listed refer to the outer dimensions of the stencil.

The material for these stencils is sourced from top US companies and created in our Sniggle Sloth California facility to form a high-quality product you’ll cherish for years.

Diamond Harlequin Pattern Wall Cookie DIY Craft Reusable Stencil

NumPy
The fundamental package for scientific computing with Python
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Including NumPy, SciPy, Matplotlib and Pandas

Powerful N-dimensional arrays
Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today.

Numerical computing tools
NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more.

Interoperable
NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries.

Performant
The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code.

Easy to use
NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level.

Open source
Distributed under a liberal BSD license, NumPy is developed and maintained publicly on GitHub by a vibrant, responsive, and diverse community.
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