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MPC-HC VS NumPy

Compare MPC-HC VS NumPy and see what are their differences

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MPC-HC logo MPC-HC

MPC-HC, the free, open source media player for Windows. DownloadsNote. Supported Operating Systems: Windows® XP SP3 .

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • MPC-HC Landing page
    Landing page //
    2021-09-13
  • NumPy Landing page
    Landing page //
    2023-05-13

MPC-HC features and specs

  • Lightweight
    MPC-HC is a lightweight application, meaning it uses minimal system resources, making it ideal for low-end systems.
  • Wide Format Support
    The player supports a wide array of audio and video codecs, eliminating the need for additional codec packs.
  • Customizable
    MPC-HC offers a high degree of customization, including the ability to change skins, set up hotkeys, and tweak a variety of settings.
  • Open Source
    Being an open-source project, MPC-HC is free to use and allows for community contributions and transparency.
  • Active Development
    The player has an active community maintaining and updating it, ensuring compatibility with the latest media formats.

Possible disadvantages of MPC-HC

  • Outdated GUI
    The graphical user interface is somewhat outdated compared to modern media players, which can affect user experience.
  • Lack of Official Support
    Since it's an open-source project, official support is limited, and users may need to rely on community forums for help.
  • Limited Advanced Features
    MPC-HC lacks some of the more advanced features found in other media players, such as integrated streaming services or extensive library management options.
  • Windows Only
    MPC-HC is primarily designed for Windows, limiting its usability for Mac and Linux users without using compatibility layers or workarounds.

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

Analysis of MPC-HC

Overall verdict

  • MPC-HC is generally considered a good media player for users seeking a lightweight and reliable option. Its ability to handle multiple codecs without additional installations and its ease of use make it a favorite among many users. However, active development has slowed, and there may be more modern alternatives with advanced features, such as VLC or PotPlayer.

Why this product is good

  • MPC-HC (Media Player Classic - Home Cinema) is a lightweight, open-source media player that is highly compatible with a wide range of video and audio formats. It is known for its simplicity and small footprint, making it suitable for both older hardware and modern systems. The player offers a customizable user interface and robust playback features, such as support for subtitles, audio and video filters, and the ability to handle high-definition content. Its open-source nature allows for community-driven improvements and updates.

Recommended for

    MPC-HC is recommended for users who prefer a clean, minimalist media player that performs efficiently on older systems or for those who appreciate open-source software with basic, yet comprehensive playback capabilities. It is ideal for anyone looking for a straightforward media player without unnecessary bloat.

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

MPC-HC videos

+ Add

rr

More videos:

NumPy videos

+ Add

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

0-100% (relative to MPC-HC and NumPy)

MPC-HC

NumPy

Media Player
100 100%
Media Player
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Audio Player
100 100%
Audio Player
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare MPC-HC and NumPy

MPC-HC Reviews

Top 5 GOM Player Alternatives for Windows
Are you looking for a GOM Player alternative that is lightweight enough? Then, MPC-HC would be a superb choice for Windows PCs out there. When compared to VLC or GOM, the interface is so simple. Even then, it supports almost all the popular formats. In addition to this, we can include its minimal resource consumption and customizability. Just like the abovementioned ones,...
Source: xtendedview.com
The Best Top 5 Free Alternatives to Windows Media Player
Media Player Classic, as the name implies, this alternative to Windows Media Player is a tribute to the classic version of Windows Media Player 6.4. It is also an open source media player, supporting lots of video and audio formats, and can play Discs like VCD、SVCD、DVD, etc. Of course, as the successor of MPC, MPC-HC has more features. It can be used as DVB player and...
Source: www.videoconverterfactory.com
Best Top 10 Media Players
There is also the free and open-source MPC-HC available for use. It’s a Windows-only release at this time. Minimal system resources are required to run MPC-HC and are also 64-bit compatible. The use of external codecs is unnecessary, as it is compatible with every popular video format.
Source: pupuweb.com
20 BEST Video Player | Media Players for Windows 10 PC (2021)
MPC-HC (Media Player Classic- Home Cinema) is a light-weight, open-source media player. This tool supports all common video file formats that are available for playback. It does not contain any spyware, toolbar, or advertisement.
Source: www.guru99.com
15 Best Media Players For Mac and Windows (2021 Edition)
MPC-HC (Media Player Classic Home Cinema) is a light-weight, open source media player that supports almost all common audio and video file formats. It also acts as a TV tuner, but you need to have a TV card installed. You will be able to adjust the appearance of video as it’s playing.
Source: www.rankred.com

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
Source: www.analyticsvidhya.com
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

Based on our record, NumPy should be more popular than MPC-HC. It has been mentiond 119 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.

MPC-HC mentions (38)

View more

NumPy mentions (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 9 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 9 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 10 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing MPC-HC and NumPy, you can also consider the following products

VLC Media Player - VLC is a free and open source cross-platform multimedia player and framework.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

PotPlayer - Potplayer is a minimalist media player that has an extensive range of configurable options to...

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

KMPlayer - KMPlayer is a freeware and supporting 36 different languages with 300 million users globally. PCKMPlayer is a freeware and supporting 36 different . ConnectKMP Connect allows you to connect your.

OpenCV - OpenCV is the world's biggest computer vision library

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