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---TAKE 60% OFF WHEN YOU ORDER 3 OR MORE ITEMS. Discount applied automatically at checkout---
Modern + sophisticated printable WEDDING SEATING CHART to match your cool bride vibe. This listing is for the digital artwork, which you can print out at home or with your local print shop.
| TRY BEFORE YOU BUY |
Copy and paste the link below into a new tab to demo this design. You can add your own details, change colours and more!
https://www.templett.com/design/demo/pipereastdesign/3877801,3877799
| MATCHING ITEMS |
Copy + paste this link to see all other items in this style: https://www.etsy.com/au/shop/PiperEastDesign?search_query=C023
| SIZES INCLUDED |
* 24 x 36 inches
* A1 [594 X 841 mm]
If you need another size, please purchase the resize listing here as well: https://etsy.me/2Edg1PM
| HOW TO EDIT |
1. After purchase, you will be emailed from Templett (double check junk folder and wait a couple of minutes for it to come through)
2. Use the link in the email to get access to your purchased design
3. In your internet browser edit the design with your own details
4. Save your design and download when you#39;re ready
5. Print at home, using an online shop or at your local print shop
| WHAT CAN BE EDITED |
* All text can be edited including wording, colour, size, placement and font
* Backgrounds: you can edit the colour or even add your own background image
| WHAT CAN NOT BE EDITED |
* Orientation: e.g. you can#39;t change the design from portrait/vertical to landscape/horizontal and vice versa
* Artwork: any graphics or artwork on the design can#39;t be edited
* You will not be able to edit your files on your mobile or on a tablet device. It must be on a computer
| WHAT FORMATS YOU CAN DOWNLOAD |
* PDF [I recommend PDFs for printing unless your chosen printer provider has requested otherwise]
* JPG
* PNG
Fine print:
- Listing is for the digital artwork only. No physical item will be shipped;
- All signs are single sided unless specifically stated in the listing;
- No returns or refunds as products are either custom made or digital downloads.
- For Personal Use of a single event only. Not for resale or distribution.
Please contact me with any questions before purchasing and check out the FAQs below.
DESIGN CODE: #C023 | [id:3877801,3877799]
Nearly every scientist working in Python draws on the power of NumPy.
NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.
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NumPy's API is the starting point when libraries are written to exploit innovative hardware, create specialized array types, or add capabilities beyond what NumPy provides.
Array Library | Capabilities & Application areas | |
Dask | Distributed arrays and advanced parallelism for analytics, enabling performance at scale. | |
CuPy | NumPy-compatible array library for GPU-accelerated computing with Python. | |
JAX | Composable transformations of NumPy programs: differentiate, vectorize, just-in-time compilation to GPU/TPU. | |
Xarray | Labeled, indexed multi-dimensional arrays for advanced analytics and visualization | |
Sparse | NumPy-compatible sparse array library that integrates with Dask and SciPy's sparse linear algebra. | |
PyTorch | Deep learning framework that accelerates the path from research prototyping to production deployment. | |
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MXNet | Deep learning framework suited for flexible research prototyping and production. | |
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xtensor | Multi-dimensional arrays with broadcasting and lazy computing for numerical analysis. | |
XND | Develop libraries for array computing, recreating NumPy's foundational concepts. | |
uarray | Python backend system that decouples API from implementation; unumpy provides a NumPy API. | |
tensorly | Tensor learning, algebra and backends to seamlessly use NumPy, MXNet, PyTorch, TensorFlow or CuPy. |
NumPy lies at the core of a rich ecosystem of data science libraries. A typical exploratory data science workflow might look like:
NumPy forms the basis of powerful machine learning libraries like scikit-learn and SciPy. As machine learning grows, so does the list of libraries built on NumPy. Beach combing treasures collection. Sea glass pieces. Sea glass deep learning capabilities have broad applications — among them speech and image recognition, text-based applications, time-series analysis, and video detection. Watercolor Succulents Clipart:quot;Succulents Clip Artquot; Fl, another deep learning library, is popular among researchers in computer vision and natural language processing. MXNet is another AI package, providing blueprints and templates for deep learning.
NumPy is an essential component in the burgeoning Python visualization landscape, which includes Matplotlib, Seaborn, Plotly, Altair, Bokeh, Holoviz, Vispy, Napari, and PyVista, to name a few.
NumPy’s accelerated processing of large arrays allows researchers to visualize datasets far larger than native Python could handle.