Software Alternatives, Accelerators & Startups

NumPy VS Git

Compare NumPy VS Git and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Git logo Git

Git is a free and open source version control system designed to handle everything from small to very large projects with speed and efficiency. It is easy to learn and lightweight with lighting fast performance that outclasses competitors.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Git Landing page
    Landing page //
    2023-08-01

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

Git videos

Full Git Tutorial (Part 6) - Pull Requests & Code Reviews

More videos:

  • Review - Learn Git In 15 Minutes
  • Tutorial - How to Review a Pull Request in GitHub the RIGHT Way

Category Popularity

0-100% (relative to NumPy and Git)
Data Science And Machine Learning
Git
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Code Collaboration
0 0%
100% 100

User comments

Share your experience with using NumPy and Git. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare NumPy and Git

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

Git Reviews

Boost Development Productivity With These 14 Git Clients for Windows and Mac
GitUp is the open-source solution for a git repository and IDE interaction on macOS computers. The tool is based on a generic Git toolkit known as the GitUpKit. This toolkit is reusable, and hence you can build your own Git app based on GitUpKit.
Source: geekflare.com

Social recommendations and mentions

Based on our record, Git should be more popular than NumPy. It has been mentiond 233 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 (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 / 21 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 / 21 days ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 27 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 / 29 days 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

Git mentions (233)

  • A Git story: Not so fun this time
    The git repo is on kernel.org nowadays with mirrors on repo.or.cz and GitHub. But I think they mean here what the official git project ‘site’ is with docs and so on. And that is now https://git-scm.com/ and indeed as the article describes that was initially set up by GitHub people, to promote git. - Source: Hacker News / 4 days ago
  • Must-Have Tools for Frontend Developers
    Git is a distributed version control system that has become a standard tool in modern development practices. - Source: dev.to / 8 days ago
  • How to Build and Manage a High-Performing Software Development Team?
    Git is the backbone for version control in our software development team. It allows us to track changes, revert to previous states, and efficiently manage multiple versions of project code. This tool is essential not only for its core functionality but also for supporting collaborative workflows among distributed team members. - Source: dev.to / 9 days ago
  • Mastering Git: Essential Commands, Workflows, and Their Uses Explained
    Before diving into the commands, ensure Git is installed on your machine. You can download it from the official Git website. - Source: dev.to / 12 days ago
  • Mastering Version Control with Git: Beyond the Basics
    Official Git Documentation: https://git-scm.com/ - The definitive source for all things Git, with in-depth explanations, commands, and tutorials. Interactive Git Training: https://learngitbranching.js.org/ - A hands-on platform to learn Git fundamentals and experiment with branching and merging in a simulated environment. Git SCM Blog: https://git-scm.com/ - Stay updated on the latest Git developments, news, and... - Source: dev.to / 22 days ago
View more

What are some alternatives?

When comparing NumPy and Git, 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.

GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.

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

Mercurial SCM - Mercurial is a free, distributed source control management tool.

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

GitHub Desktop - GitHub Desktop is a seamless way to contribute to projects on GitHub and GitHub Enterprise.