Sketch VS NumPy
Compare Sketch VS NumPy and see what are their differences
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives.
featured
Sketch
Figma
Inkscape
Affinity Designer
Adobe Illustrator
Adobe Photoshop
Adobe XD
Invision
NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
SketchBased on our record, NumPy seems to be a lot more popular than Sketch. While we know about 112 links to NumPy, we've tracked only 3 mentions of Sketch. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Start by building the PDF version, as that's easier. I use Sketch (sketch.com) for designing layout. Source: over 1 year ago
This TG-16 controller was originally drawn in Fireworks CS4 waaaaaay back in the day, but I re-drew it by hand using simple shapes and effects in Sketch and Figma. Source: almost 2 years ago
Every designer has to choose their preferred design tool where they can implement their prototypes.Try Figma, Sketchand Adobe XD. These are the main tools, try each and find your favorite, as for me I love Figma(Very good in collaboration). - Source: dev.to / over 2 years ago
How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 7 days ago
NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 7 days ago
NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 12 days ago
This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 14 days ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
Figma - Team-based interface design, Figma lets you collaborate on designs in real time.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Inkscape - Inkscape is a free, open source professional vector graphics editor for Windows, Mac OS X and Linux.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Affinity Designer - Professional creative software, exclusively for Mac.
OpenCV - OpenCV is the world's biggest computer vision library