NumPy VS tsMuxeR
Compare NumPy VS tsMuxeR 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
NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
tsMuxeR
MKVToolnix
MKVCleaver
Mkv2vob
Subler
MKVtools
MkvToMp4
TS-Doctor
tsMuxeRBased on our record, NumPy seems to be a lot more popular than tsMuxeR. While we know about 107 links to NumPy, we've tracked only 3 mentions of tsMuxeR. 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.
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 2 months ago
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 / 2 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 5 months ago
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
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
Dolby Vision supplements the HDR data already present in a video. For example, when you buy a Blu-ray disc that supports Dolby Vision, the disc contains several m2ts files containing HEVC encoded videos. Present within the HEVC stream is also the metadata, which supplies metadata for each frame. To see what this data is, I used[1], and then got the info for frame 1000 and saved it as a json in this [2] pastebin.... - Source: Hacker News / over 1 year ago
Clsid has continued to maintain MPC-HC after the original development team stopped due to a lack of interest back in 2017 (v1.7.13 being the last release). See: https://forum.doom9.org/showthread.php?t=175209. - Source: Hacker News / almost 2 years ago
Anecdote: I'm typing this on a 2013 Xeon (Haswell E3v3), and it's acceptable for web/productivity, but the x265 encode performance is absolutely abysmal compared to newer CPUs, especially AMD's. GPU encoding is good for ephemeral streams, but good archival encoding is all CPU-bound: https://forum.doom9.org/showthread.php?p=1908148#post1908148 """Luckily""" for me I do mostly standard-definition encodes and can get... - Source: Hacker News / almost 3 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
MKVToolnix - MKVToolnix is a set of tools to create, alter and inspect Matroska files under Linux, other Unices...
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
MKVCleaver - MKVcleaver is a GUI (Graphical User Interface) for mkvtoolnix, designed to extract data from MKV...
OpenCV - OpenCV is the world's biggest computer vision library
Mkv2vob - Converts mkv files and srt subtitles into a format readable by the Playstation 3.