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Send Anywhere VS NumPy

Compare Send Anywhere VS NumPy and see what are their differences

Send Anywhere logo Send Anywhere

Send whatever you want, wherever you want

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Send Anywhere Landing page
    Landing page //
    2023-05-13
  • NumPy Landing page
    Landing page //
    2023-05-13

Send Anywhere videos

👍INCREDIBLE APP👍SEND ANYWHERE! SEND ANYTHING TO ANYONE FAST & FREE ALL DEVICES/PLATFORMS!

More videos:

  • Review - Send Anywhere App Review For Android and IOS
  • Review - Send Anywhere (File Transfer) App Review | Vs Professional Group | Tamil

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

Category Popularity

0-100% (relative to Send Anywhere and NumPy)
File Sharing
100 100%
0% 0
Data Science And Machine Learning
Cloud Storage
100 100%
0% 0
Data Science Tools
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 Send Anywhere and NumPy

Send Anywhere Reviews

13 WeTransfer Alternatives (Free) in 2022
Send Anywhere is file-sharing software that takes an easy, quick, and unlimited approach to file sharing. It is one of the best WeTransfer competitors which provides service for unlimited file storing and sharing, but their speeds and usability is compromised.
Source: www.guru99.com

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

Social recommendations and mentions

Based on our record, NumPy should be more popular than Send Anywhere. It has been mentiond 112 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.

Send Anywhere mentions (15)

  • Can someone who is on steam please upload the Air dribble hoops workshop map for those of us on epic? Since it's impossible to get the map through the workshop map downloader plugin.
    Yeah thanks that would be awesome. You can upload it on https://send-anywhere.com/ or something like that. Source: about 1 year ago
  • How do i send photos from pc to iPhone over Bluetooth
    I personally use sendanywhere. https://send-anywhere.com/. Source: over 1 year ago
  • Pictures to iPhone
    In order to send the image or video exactly as it was taken then the best options from the S22 are QuickShare where the files are uploaded to the cloud and a link is shared or via a third partly like https://send-anywhere.com/. Source: over 1 year ago
  • Trying to transfer mimikatz.exe to the target machine in wreath room but it isn’t working look at screen shots, help please
    Use https://send-anywhere.com/ to send files to and from your machine to the attack machine. It has worked for me multiple times. Source: over 1 year ago
  • Best way to syncronise Project Progress between Devices?
    I mainly use Godot on my Desktop PC at home. But I would also like to be able to work on my Projects via my Laptop because I often get Ideas while away from home. I once used send anywhere to copy a couple of scripts onto my Laptop to work on them and just replace the Files afterwards, but I'm unsure if this approach would work well with an entire Project. Source: over 1 year ago
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NumPy mentions (112)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 22 days ago
  • Documenting my pin collection with Segment Anything: Part 3
    NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 23 days ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 28 days ago
  • NumPy for Beginners: A Basic Guide to Get You Started
    This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / about 1 month ago
  • 2 Minutes to JupyterLab Notebook on Docker Desktop
    Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 10 months ago
View more

What are some alternatives?

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

WeTransfer - WeTransfer is a free service to send big or small files from A to B.

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

ShareDrop - HTML5 clone of Apple's AirDrop - easy P2P file transfer powered by WebRTC

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

SHAREit - SHAREit allows you to transfer files and data from your phone to another device without having to rely on WiFi or a data plan.

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