ImageMagick VS NumPy

ImageMagick Reviews

NumPy Reviews

ImageMagick mentions (79)

• Making a YouTube Short

  ImageMagick is a pretty standard tool for image manipulation and it's got a pretty powerful command line interface which honestly is often overwhelming but fortunately there are plenty of forums, stack overflow, etc to get good examples. - Source: dev.to / 7 months ago

• Plato's Socrates a Kinetic Visual Novel for the Mega Drive aka Sega Genesis and Android with graphics made with Stable Diffusion.

  The graphics then turned to the 9-bit palette and 15 or 16 colours with the ImageMagick. Source: 7 months ago

• FFmpeg Explorer

  But it can be quite large. You can also use the appropriate "start" and "duration" options to selectively get a portion out. Animated gifs are pretty inefficient as it is so I'm usually happy with the above, and make sure to only restrict to 5-10s max, but there are other programs to try and help reduce the size, like gifsicle [1] and imagemagick [2]. [0]... - Source: Hacker News / 8 months ago

• Really Good Emails really scary personalization

  I used to do stuff like this programmatically with ImageMagick. https://imagemagick.org/index.php. Source: 10 months ago

• These two pieces of software randomly popped up on my Ubuntu 22.04 computer. Should i be worried or is this normal?

  Yup don't worry. ImageMagick is a command line image processing tool. Byobu is a terminal manager that lets you run multiple virtual terminals inside it. Super useful if you're SSHing to a remote machine and need to run multiple terminals. Source: 10 months ago

NumPy mentions (107)

• Element-wise vs Matrix vs Dot multiplication

  In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / about 2 months ago

• JSON in data science projects: tips & tricks

  Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / about 2 months ago

• Introducing Flama for Robust Machine Learning APIs

  Numpy: A library for scientific computing in Python. - Source: dev.to / 5 months ago

• A Comprehensive Guide to NumPy Arrays

  Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 6 months ago

• Beginning Python: Project Management With PDM

  A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months ago