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BLOCK THIS! VS NumPy

Compare BLOCK THIS! VS NumPy and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

BLOCK THIS! logo BLOCK THIS!

Block This 3.0 is a FREE and Open Source ad blocker for Android that works in all apps and browsers!

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • BLOCK THIS! Landing page
    Landing page //
    2023-08-26
  • NumPy Landing page
    Landing page //
    2023-05-13

BLOCK THIS! features and specs

  • Ad Blocking
    BLOCK THIS! effectively blocks ads, providing a smoother and less cluttered browsing experience.
  • Privacy Protection
    The app helps protect user privacy by blocking trackers and other intrusive scripts, which can help keep your personal information secure.
  • Bandwidth Saving
    By blocking ads and trackers, BLOCK THIS! reduces the amount of data loaded on webpages, saving bandwidth and potentially speeding up browsing.
  • Battery Efficiency
    Blocking ads can lead to less resource consumption, potentially extending the battery life of mobile devices.
  • Free to Use
    The app is available for free, making it accessible to a wide range of users without the need for a subscription or purchase.

Possible disadvantages of BLOCK THIS!

  • Compatibility Issues
    BLOCK THIS! may not work smoothly on all devices or with all browsers, which might limit its usability for some users.
  • Potential Content Blocking
    Occasionally, the app may block legitimate content along with ads and trackers, which can disrupt the user experience on some websites.
  • Updates and Support
    The frequency and reliability of updates and ongoing support can be variable, potentially leading to performance issues or lack of new features over time.
  • Root Requirement for Android
    On some Android devices, full functionality may require root access, which is not recommended for all users due to security and warranty concerns.
  • Potential Ethical Concerns
    Blocking ads raises ethical questions regarding the support of content creators who rely on advertising revenue to provide free content.

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 BLOCK THIS!

Overall verdict

  • BLOCK THIS! is considered a good option for users seeking a lightweight and effective method to block ads and enhance privacy protection. Its DNS-based blocking can be less intrusive compared to other ad-blockers.

Why this product is good

  • BLOCK THIS! is a tool designed to block unwanted ads and protect user privacy while browsing the internet. It uses DNS blocking to stop ads before they even reach the browser, which can improve page load times and reduce data usage. Additionally, it may provide some protection against malicious sites.

Recommended for

  • Users looking to speed up web browsing by reducing ads and other unwanted content.
  • Privacy-conscious users who want to avoid tracking by advertisers.
  • Individuals seeking a DNS-based ad blocking solution that works on multiple devices.

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.

BLOCK THIS! videos

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NumPy videos

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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 BLOCK THIS! and NumPy)

BLOCK THIS!

NumPy

Security & Privacy
100 100%
Security & Privacy
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Monitoring Tools
100 100%
Monitoring Tools
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

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Reviews

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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 BLOCK THIS!. It has been mentiond 122 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.

BLOCK THIS! mentions (22)

  • Blockada 5 alternative?
    Block This 3.1 VPN ad-blocker works just as well as adguard dns for older Android 8.0- OS. Very easy to use. Source: over 2 years ago
  • Nightmare on my kindle fire 8
    Try installing block-this on it and see if it helps. Https://block-this.com. Source: about 3 years ago
  • Are the โ€œJesusโ€ ads on this site getting more aggressive?
    For android devices block this is an app that can block nearly all mobile ads, both in apps and in browsers. Source: over 3 years ago
  • Appliance makers sad that 50% of customers wonโ€™t connect smart appliances
    I think https://block-this.com/ does what you propose. Source: over 3 years ago
  • Is possible to make a universal patch for no ads that work on every apk?
    Maybe check out the canonical page instead: https://block-this.com. Source: over 3 years ago
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NumPy mentions (122)

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What are some alternatives?

When comparing BLOCK THIS! and NumPy, you can also consider the following products

AdShield.ai - AI-powered placement exclusion lists for Google Display campaigns

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

Ads-Shield - Ads-Shield: Content Blocker is an all-in-one ad-blocking app that stops all kinds of ads in your browser, Facebook, YouTube, and even other third-party apps.

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

Ad Skipper for YouTube - Ad Skipper for YouTube โ€“ Skip and Mute YouTube ads is a powerful Android tool specially designed for YouTube streaming lovers who want to enjoy the high-quality fast streaming experience without any irritation from ads.

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

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