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NumPy VS Microsoft 365

Compare NumPy VS Microsoft 365 and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Microsoft 365 logo Microsoft 365

Boost your productivity with reliable access anywhere with services like email, calendar, file sharing, meetings, instant messaging, and Office Online
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Microsoft 365 Landing page
    Landing page //
    2022-04-16

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.

Microsoft 365 features and specs

  • Accessibility
    Office 365 allows users to access their documents and applications from virtually any device with an internet connection, promoting remote and collaborative work.
  • Automatic Updates
    Software updates are automatically rolled out, ensuring that users always have the latest features, security patches, and improvements without needing to manually install them.
  • Integrated Productivity Tools
    The suite includes a wide range of integrated tools such as Word, Excel, PowerPoint, Outlook, Teams, and OneDrive, which streamline workflow and enhance productivity.
  • Cloud Storage
    Microsoft 365 provides cloud storage options through OneDrive and SharePoint, offering users scalable storage solutions and easy file sharing capabilities.
  • Security Features
    The platform includes advanced security features like data encryption, multi-factor authentication, and regular security updates to protect sensitive information.
  • Collaboration
    Multiple users can work on the same document simultaneously, with real-time editing and commenting features, which enhances team collaboration and productivity.
  • Scalability
    Different subscription plans are available, allowing businesses of all sizes to choose the appropriate plan based on their needs and scale as they grow.

Possible disadvantages of Microsoft 365

  • Subscription Model
    Office 365 operates on a subscription-based model, which may become expensive over time compared to a one-time purchase of traditional Office software.
  • Internet Dependency
    Some features require an internet connection to function properly. Inconsistent or poor internet access can hinder productivity and limit accessibility.
  • Complexity
    With a vast array of tools and features, some users may find it challenging to navigate and utilize the full potential of the platform without adequate training.
  • Privacy Concerns
    Storing data on cloud services can raise privacy and compliance concerns, especially for organizations dealing with sensitive information.
  • Compatibility Issues
    There may be compatibility issues with older versions of Microsoft Office and other third-party applications, potentially causing disruptions in workflow.
  • Cost
    For small businesses or individual users, the cost of the subscription can be a significant expense, particularly when considering ongoing payments.

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.

NumPy videos

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

Microsoft 365 videos

Office 365 Complete Tutorial Zero to Hero

More videos:

  • Review - What is Office 365
  • Review - The Merger - S3E8 - The Office In Review
  • Review - Performance Review - S2E8 - The Office in Review
  • Review - Checking Out Microsoft Office 365
  • Review - All 9 Seasons of The Office Ranked!
  • Review - Microsoft Office 365 review: Online, offline, any good?
  • Review - 🤷‍♂️ What is Microsoft 365 - Explained

Category Popularity

0-100% (relative to NumPy and Microsoft 365)
Data Science And Machine Learning
Office Suites
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Office & Productivity
0 0%
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 Microsoft 365

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.
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

Microsoft 365 Reviews

  1. Always backup your Office 365 data

    Microsoft Office 365 is an amazing software that helps companies establish their business, so a backup is a must since Microsoft is not offering the proper backup.

    🏁 Competitors: Google Docs
    👍 Pros:    Great set of functions
    👎 Cons:    No backup

Top Alternatives to Microsoft Office Suite
In today’s competitive business environment, having the right office suite is crucial for streamlined operations and effective collaboration. While Microsoft Office Suite has been a popular choice, these alternatives offer unique features and cost-effective solutions to cater to your specific business needs. Whether you prioritize real-time collaboration, budget-friendly...
Source: saaszeal.com
112 Best Chrome Extensions You Should Try (2021 List)
Office Editing For Docs, Sheets & Slides is an offline chrome extension that helps you edit Microsoft Word, Excel, and Powerpoint files without Office installed on your PC. It opens Docx and other files in a new tab instead of downloading them locally.
The BEST Email Hosting Providers for Small Business in 2021
There are 4 deployment steps to set up an account on Microsoft 365 Business. The initial step is acquiring a subscription and assigning Microsoft 365 Business licenses to the user. Then you use the set-up wizard to configure the account. Once you install the Office apps on your devices, the final step is to prepare your PCs by using the Windows AutoPilot.

Social recommendations and mentions

Based on our record, NumPy should be more popular than Microsoft 365. 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

Microsoft 365 mentions (13)

  • You Are Already Using Wasm In Production
    If you use Microsoft’s online Office.com suite or the popular Figma graphics tool, you’ve already used Wasm in production. If you’ve used a device to watch streaming services like BBC or Amazon Prime, you’ve already used Wasm in production. In fact, you’re using Wasm in production right now. This website has been powered by server-side Wasm since its initial launch in February of 2022. Our serverless platform for... - Source: dev.to / 6 months ago
  • Need to count calls on certain days in certain time slots
    Yes it does change, will not work for 2016, but it works for excel online at office.com, which is free with a microsoft account. Source: over 1 year ago
  • Change SharePoint Start Page for All
    When our users go to office.com, login and click the waffle for SharePoint, I want to change this landing page. Right now, it goes to https://ourdomain.sharepoint.com/_layouts/15/sharepoint.aspx and once users are in SP, if they ever click the home button it will direct them to this page as well. I want to change this to a new site we created that makes browsing our sites and sharing information/events much... Source: over 1 year ago
  • Has anyone seen same behavior with AAD laptops reaching out to internal DCs on ports 88, 389, and 445
    Authentication happens through a 3rd party so when we try to login to office.com with our company accounts it redirect us to this 3rd party company that handles our logins. Source: over 1 year ago
  • Where is the Copilot in Excel?
    I've looked in office.com (using Chrome) and Excel 365 for Mac (Version 16.79). Nothing in the top-right corner except "Analyze Data". And when I try to search for in the the Tell Me or Help menu, it acts like it has no idea what Copilot is. Source: over 1 year ago
View more

What are some alternatives?

When comparing NumPy and Microsoft 365, 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.

LibreOffice - Free office suite, open source, and compatible with .doc, .docx, .xls, .xlsx, .ppt, .pptx files. Updated regularly – download for free. Originally based on OpenOffice.org.

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

Apache OpenOffice - Apache OpenOffice is an open source, office document productivity suite.

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

Google Workspace - Google's encompassing suite of cloud-based business apps.