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NumPy VS IBM Cloud Object Storage

Compare NumPy VS IBM Cloud Object Storage and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

IBM Cloud Object Storage logo IBM Cloud Object Storage

IBM Cloud Object Storage is a platform that offers cost-effective and scalable cloud storage for unstructured data.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • IBM Cloud Object Storage Landing page
    Landing page //
    2023-09-18

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.

IBM Cloud Object Storage features and specs

  • Scalability
    IBM Cloud Object Storage offers very high scalability, allowing businesses to store large amounts of data easily. This flexibility is crucial for businesses that are growing their storage needs or have fluctuating demands.
  • Data Resiliency
    The service provides robust data resiliency options, including geo-dispersed storage configurations, enabling enhanced protection against data loss and improved availability.
  • Cost Efficiency
    With its flexible pricing model, businesses can choose options that best fit their budget, such as 'Pay-as-you-go' plans, thereby optimizing costs according to actual usage.
  • Security Features
    It comes with comprehensive security features, including encryption, access control, and integration with IAM policies, ensuring that data is protected both at rest and in transit.
  • Integration
    Seamless integration with the broader IBM Cloud ecosystem, as well as other cloud services and applications, allows businesses to easily incorporate this storage solution into their existing cloud strategy.

Possible disadvantages of IBM Cloud Object Storage

  • Complexity
    The extensive feature set and customization options might lead to a steeper learning curve for new users or smaller teams without dedicated IT resources.
  • Performance Variability
    Depending on the region and specific use case, users might encounter variability in performance, particularly in scenarios requiring low-latency or high-throughput data access.
  • Support Availability
    While IBM offers various support plans, certain users might find the support mechanisms, such as community forums and basic plans, less responsive compared to some other providers.
  • Pricing Complexity
    Although pricing models are flexible, they can also become complex and convoluted, making it difficult for some businesses to predict costs precisely without detailed monitoring and analysis.
  • Limited Proprietary Tooling
    Compared to some competitors, IBM might have fewer proprietary tools and native applications directly integrated with their cloud storage, potentially requiring additional third-party tools or custom development for specific needs.

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

IBM Cloud Object Storage videos

+ Add

IBM Cloud Object Storage: Built for business

More videos:

  • Review - Getting Started with IBM Cloud Object Storage
  • Review - IBM Cloud Object Storage webinar

Category Popularity

0-100% (relative to NumPy and IBM Cloud Object Storage)

NumPy

IBM Cloud Object Storage

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Cloud Storage
0 0%
Cloud Storage
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Cloud Computing
0 0%
Cloud Computing
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 IBM Cloud Object Storage

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

IBM Cloud Object Storage Reviews

We have no reviews of IBM Cloud Object Storage yet.
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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 / 8 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

IBM Cloud Object Storage mentions (0)

We have not tracked any mentions of IBM Cloud Object Storage yet. Tracking of IBM Cloud Object Storage recommendations started around Mar 2021.

What are some alternatives?

When comparing NumPy and IBM Cloud Object Storage, 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.

Alibaba Object Storage Service - Alibaba Object Storage Service is an encrypted and secure cloud storage service which stores, processes and accesses massive amounts of data

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

Wasabi Cloud Object Storage - Storage made simple. Faster than Amazon's S3. Less expensive than Glacier.

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

Contabo Object Storage - S3-compatible cloud object storage with unlimited, free transfer at a fraction of what others charge. Easy migration & predictable billing. Sign up now & save.

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