FFmpeg VS NumPy

FFmpeg Reviews

NumPy Reviews

FFmpeg mentions (4)

• FFmpeg 7.0 Released

  The fact that Handbrake doesn't expose the same features as the ffmpeg CLI tool is frankly irrelevant. It's not just relevant, it's the whole thing. They asked for an ffmpeg GUI and someone recommended a GUI that doesn't use ffmpeg and doesn't do what ffmpeg can do. Ffmpeg can not only rewire channels, it can stream video, capture video from the screen, capture video from a tv tuner, overlay text etc. Also... - Source: Hacker News / 27 days ago

• Ask HN: Is there other software similar to Vim and Emacs?

  FFMpeg and its libraries https://ffmpeg.org/about.html. - Source: Hacker News / almost 2 years ago

• Week 13 Project Phase 2

  Hello everyone, welcome to week 13. This blog we are going to pick an open source software and locate the SIMD code from the source code of the software and then determine the SIMD code usage in a certain program. For my blog, I choose FFmpeg. FFmpeg is a cross-platform framework to record, convert, and stream video and audio, it provides an easy way to convert video and audio to other formats. FFmpeg is a very... - Source: dev.to / over 2 years ago

• I HATE NITRO I HATE NITRO

  Ffmpeg is a free (GPL) program and library that does pretty much everything video-related, from recording to editing. It has some learning curve for things beyond just converting a file 1:1, but as a library, many programs such as OBS, Blender, Shotcut, Drawpile and KDEnLive implements it for tasks such as rendering and recording videos out of them. Source: almost 3 years 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