Based on our record, Pandas should be more popular than ImageMagick. It has been mentiond 198 times since March 2021. 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.
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
The graphics then turned to the 9-bit palette and 15 or 16 colours with the ImageMagick. Source: 7 months ago
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
I used to do stuff like this programmatically with ImageMagick. https://imagemagick.org/index.php. Source: 10 months ago
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
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 8 days ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 2 days ago
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / about 2 months ago
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 4 months ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
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NumPy - NumPy is the fundamental package for scientific computing with Python
Ordinatore - Those who want to tidy up their Macs will surely love this application.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Faviconer - Faviconer.com, or favicon generator, is online tool for creating favicon.
OpenCV - OpenCV is the world's biggest computer vision library