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G2A VS NumPy

Compare G2A VS NumPy and see what are their differences

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G2A logo G2A

Enjoy the vast offer of Steam, Origin, Uplay, Battle.net, GOG, PSN and XBOX CD-Keys at the most attractive prices on the market. Don’t overpay – buy cheap on G2A.COM!

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • G2A Landing page
    Landing page //
    2018-09-30
  • NumPy Landing page
    Landing page //
    2023-05-13

G2A features and specs

  • Wide Selection
    G2A offers a vast array of digital products including video games, software, and in-game items from various publishers and developers.
  • Competitive Pricing
    Users often find games and software at lower prices compared to other platforms, making it an attractive option for budget-conscious buyers.
  • Global Accessibility
    G2A serves a worldwide market, allowing users from different regions to purchase and sell digital products.
  • User-Friendly Interface
    The platform is designed to be easy to navigate, making it simple for users to find and purchase products quickly.
  • G2A Shield
    An optional service that provides additional buyer protection, including guaranteed refunds in case of any issues with digital products.

Possible disadvantages of G2A

  • Grey Market Issues
    Products on G2A are often sold by third-party sellers which sometimes leads to issues with legitimacy and legality, raising concerns among consumers.
  • Customer Support
    Users have reported difficulties in getting satisfactory customer support, particularly regarding issues with purchases and refunds.
  • Seller Accountability
    There have been instances where sellers on G2A have sold fraudulent or stolen keys, affecting buyer trust and putting G2A's reputation at risk.
  • Additional Fees
    Certain transactions may incur additional fees, such as payment processing fees and currency conversion charges, which can reduce the overall savings.
  • Publisher Backlash
    Some game publishers and developers have publicly criticized G2A for enabling the sale of game keys acquired through unauthorized means, which can harm their revenue and reputation.

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 G2A

Overall verdict

  • G2A can be a useful platform for finding affordable game keys and digital products, but it's important for consumers to exercise caution. Before purchasing, buyers should verify seller reviews and be aware of the potential for unauthorized or fraudulent keys. Additionally, considering alternative marketplaces or purchasing directly from official sources can sometimes be a safer option, despite potentially higher prices.

Why this product is good

  • G2A is a popular online marketplace that sells video game keys and other digital products, often at discounted prices compared to other retailers. It attracts consumers looking for cheaper options or access to a broader range of digital products. However, G2A has faced controversy over issues such as unauthorized or stolen keys being sold on the platform, which has raised questions about the legitimacy and security of purchases made through the site. This makes it important for buyers to research and consider potential risks when purchasing from G2A.

Recommended for

  • Bargain hunters looking for discounted game keys
  • Gamers seeking access to a wide range of digital products
  • Consumers willing to research and vet sellers for trusted transactions

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.

G2A videos

+ Add

Should You Buy Games on G2A?

More videos:

  • Review - Should you use G2A - Honest Review
  • Tutorial - G2A is it legit? Review & How to Buy 2020

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 G2A and NumPy)

G2A

NumPy

Games
100 100%
Games
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Online Shopping
100 100%
Online Shopping
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 G2A and NumPy

G2A 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

NumPy might be a bit more popular than G2A. We know about 119 links to it since March 2021 and only 82 links to G2A. 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.

G2A mentions (82)

  • "Access denied"
    It seems as every g2a.com site wont allow me to enter. Source: almost 2 years ago
  • Gaming PC set
    And if you don't know how to build by yourself, you can also pay those shops to do it for you. It might be around 10-15 rial without windows, and I advice you to buy windows key in g2a.com. Source: almost 2 years ago
  • where can you buy playstat giftcards preferably in dollars in rosenheim?
    It's either what you suggest or buying them in websites like g2a.com, recharge.com, etc. Source: almost 2 years ago
  • Building my first PC• need opinions/suggestions!
    Don't forget to add Windows to the list, you can find it pretty cheap on g2a.com, it's a key reseller, only ~$25 bucks for a copy of windows vs $100+ retail. Source: almost 2 years ago
  • HOW can i refund this
    I am really poor like so poor that saving up 5.50 euroes was smthn, so I take my money and go to g2a.com only to accidentally click on the wrong card and buy a steam TL currency gift card. I'm so sad that now I won't be able to get those 5 euroes to my acc it will take at least a week for me to re-save up. Source: almost 2 years ago
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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 / 9 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 / 9 months ago
View more

What are some alternatives?

When comparing G2A and NumPy, you can also consider the following products

ARPAY - AR-PAY.com, All-in-one Retail and Payments. You can access your favorite internet services: online games, e-wallets, console games, online shopping cards, and many more!

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

Instant Gaming - Instant-Gaming.com - All your favourites games for Steam, Origin, Battle.net, Uplay and Indie games up to 70% off! Digital games, Instant delivery 24/7!

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

Kinguin - Marketplace to buy/sell game keys for a myriad of platforms including: Battle.

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

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