VLC Media Player VS NumPy

VLC Media Player Reviews

1. Muhammad Yaseen    

   3 months ago
   Playing Videos

   This is very useful application for me. Now i can watch videos of any format on my laptop with vlc player. It solved my all problems of video formats and play problem.

NumPy Reviews

VLC Media Player mentions (3)

• The 10 tools I install on every new Mac I get

  VLC - plays everything, has excellent keyboard shortcuts and can in a pinch even record screens for you (free). - Source: dev.to / 8 months ago

• Why Open Source Software VLC's official website has been blocked for over 5 months now?

  Try accessing it without the 'www' subdomain (https://videolan.org/vlc/). Source: almost 2 years ago

• AV1 no working

  I think I recommend you to use VLC Media Player without AV1 extension, it just decode. Source: over 2 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