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NumPy VS AdSense

Compare NumPy VS AdSense and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

AdSense logo AdSense

Earn money with website monetization from Google AdSense. We'll optimize your ad sizes to give them more chance to be seen and clicked.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • AdSense Landing page
    Landing page //
    2023-02-11

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.

AdSense features and specs

  • Earn Revenue
    AdSense allows website owners to earn money by displaying ads on their site, which can be a significant source of income.
  • Flexible Ad Formats
    Google AdSense offers a variety of ad formats (text, image, video) that can blend seamlessly into the layout of a website.
  • Easy to Use
    Setting up AdSense is relatively straightforward, even for those with limited technical experience.
  • High-Quality Ads
    As a product of Google, AdSense provides access to high-quality advertisers, which can enhance the overall user experience.
  • Reliable Payments
    Google AdSense has a consistent and reliable payment system, which ensures timely payouts for earnings.
  • Detailed Reports
    AdSense offers detailed performance reports, giving users insights into ad performance, earnings, and visitor interactions.
  • Wide Reach
    AdSense is used by millions of websites, indicating a broad acceptance and trust in the platform.

Possible disadvantages of AdSense

  • Ad Control Limitations
    Although flexible, there is limited control over the specific ads displayed, which can sometimes lead to irrelevant or low-quality ads.
  • Payout Threshold
    AdSense requires a minimum threshold of $100 before payments are issued, which can delay earnings for smaller sites.
  • Strict Policies
    Google's policies can be strict, and violations (even unintentional) can result in account suspension or ban.
  • Revenue Share
    Google takes a percentage of the ad revenue, meaning publishers don't earn the full amount advertisers pay.
  • Ad Placement Restrictions
    There are specific rules about where and how ads can be placed, sometimes limiting layout flexibility and user experience.
  • Competition
    The high number of AdSense users can make it competitive, impacting the ad rates and potential earnings for publishers.
  • Dependence on Traffic
    The revenue earned through AdSense heavily depends on the amount and quality of web traffic, which can fluctuate.

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.

Analysis of AdSense

Overall verdict

  • AdSense is considered a good option for those looking to monetize web content. It is reputable, backed by Google, and offers substantial opportunities for revenue generation, particularly for websites with significant traffic. However, it might not be the best fit for everyone, as the income can vary greatly depending on factors like niche, audience engagement, and traffic volume.

Why this product is good

  • Google AdSense is a popular advertising program that allows publishers to earn revenue by displaying ads on their websites or YouTube channels. It is widely regarded as a reliable and efficient way to monetize online content due to its vast network of advertisers and its user-friendly interface. AdSense adapts ads to the content of the site and the audience, maximizing potential earnings. Additionally, it provides detailed analytics, which helps publishers understand their audience and optimize their ad placements.

Recommended for

    AdSense is recommended for bloggers, website owners, and YouTube content creators who have substantial and consistent traffic. It's ideal for those who prefer a straightforward, automated way of earning revenue without the need to manage relationships with individual advertisers. While suitable for content creators across various niches, it is especially beneficial for those within high-traffic, advertiser-rich sectors such as finance, technology, and lifestyle.

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

AdSense videos

+ Add

Adsense Account Pending Review Solved | Adsense application still under review [Hindi]

More videos:

  • Review - Why I HATE Adsense (And REFUSE To Use It On My Website)
  • Review - ⭕Google Adsense: The truth behind monetizing your blog 💰

Category Popularity

0-100% (relative to NumPy and AdSense)

NumPy

AdSense

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Advertising
0 0%
Advertising
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Ad Networks
0 0%
Ad Networks
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 NumPy and AdSense

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

AdSense Reviews

Top 11 Google AdSense alternatives for 2022
Maybe you didn’t get approved for AdSense, or you’re busy appealing an account ban for invalid click activity, or you want to load up your ad stack to increase revenues. Whatever the reason, all is not lost. AdSense may be the market leader, but there are many competitors and Google AdSense alternatives that can provide good eCPMs and supplement ad revenue.
Source: www.monetizemore.com
21 Best AdSense Alternatives to Consider for Your Website in 2022
I suggest to add alternatives to AdSense instead of replacing AdSense. The real-time competition can increase CPM a lot! There are different services nowadays online that can integrate many alternative networks to compete with AdSense. For me PapayAds is the one which performed the best increasing 3x usual AdSense revenue. They require minimum traffic to set up but it is...
Source: kinsta.com
Top 25 Google Adsense Alternatives For Your Website/Blog in 2022
To cut a long story short, for whatever reason you don’t want to use AdSense, it’s worth noting there are plenty of Google Adsense alternatives out there for you to work with. Today, I’m going to list down some of the best alternative ad solutions to Google Adsense, detailing what you need to know about them, so you have everything you need to choose the best platform for you.
Source: www.izooto.com
The Top 5 Display Advertising Networks: Monetize Your Blog The RIGHT Way
That’s a lot more than what you need for Google Adsense and Ezoic, but once you meet the requirement, you should definitely at least test it out as some bloggers have reported seeing a 2-3x increase in earnings.
Source: www.rankxl.com
10 Alternatives To Google And Facebook Ads
Even more notable, in terms of incremental growth for your brand, The Bing Network audience includes 60 million desktop searchers not reached on Google according to comScore, cited by Microsoft. Microsoft Advertising typically has lower CPCs compared to Google Ads, but with that fact typically comes a lower volume of traffic compared to Google.
Source: www.ppchero.com

Social recommendations and mentions

Based on our record, NumPy seems to be more popular. 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.

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 / 8 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

AdSense mentions (0)

We have not tracked any mentions of AdSense yet. Tracking of AdSense recommendations started around Mar 2021.

What are some alternatives?

When comparing NumPy and AdSense, you can also consider the following products

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

Media.net - Yahoo! Bing Network Contextual Ads powered by Media. net gives you instantaneous access to one of the world's largest marketplaces for advertisers. People also askWhat is Media Net?What is Medianet Cisco?

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

Infolinks - Discover what Infolinks smart ads can do for you

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

Epom - An ad serving solution for publishers, advertisers, ad and affiliate networks

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