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Arc.dev VS NumPy

Compare Arc.dev VS NumPy and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Arc.dev logo Arc.dev

Arc is the remote career platform helping developers build amazing careers from anywhere. Find thousands of top remote developer jobs online all in one place!

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Arc.dev Landing page
    Landing page //
    2023-09-07
  • NumPy Landing page
    Landing page //
    2023-05-13

Arc.dev features and specs

  • Quality Talent
    Arc.dev screens and vets developers, ensuring high-quality talent is available for hire.
  • Remote Focused
    The platform is designed specifically for remote work, which is increasingly relevant in today's job market.
  • Flexible Hiring
    Arc.dev offers flexible hiring options, including full-time, part-time, and contract roles.
  • Global Reach
    Employers have access to a global pool of developers, providing a broader range of skills and expertise.
  • Hiring Assistance
    Arc.dev provides dedicated hiring consultants to help match employers with the right developers.
  • Community and Resources
    Developers have access to a supportive community and resources to help them grow their careers.

Possible disadvantages of Arc.dev

  • Cost
    Hiring through Arc.dev can be more expensive than other platforms, given the quality and vetting process involved.
  • Niche Market
    The platform primarily caters to tech and development roles, which may not be suitable for companies looking for a wider range of skill sets.
  • Vetting Process Delay
    The thorough vetting process can sometimes lead to delays in hiring, which may not suit urgent hiring needs.
  • Geographical Constraints
    While remote work is emphasized, certain employers might face challenges with time zone differences.
  • Platform Fee
    Arc.dev charges a platform fee, which might be a barrier for startups or small businesses with limited budgets.
  • Limited User Control
    Employers might find the process less flexible compared to directly hiring through other platforms, due to the involvement of hiring consultants.

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 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.

Arc.dev videos

+ Add

Remote Work For Developers | Why I Invested In Arc.Dev on Wefunder (YC Startup)

More videos:

  • Review - ARC.DEV (FKA CODEMENTORX) REVIEW: ALTERNATIVES AND COMPETITORS FOR 2020
  • Review - Arc 2.0 - The Easiest Way to Find Remote Developer Jobs | Arc.dev

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 Arc.dev and NumPy)

Arc.dev

NumPy

Job Boards
100 100%
Job Boards
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Remote Jobs
100 100%
Remote Jobs
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Arc.dev and NumPy. For example, how are they different and which one is better?
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Reviews

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

Arc.dev Reviews

Comparing Andela, Turing, Toptal, Micro1, Arc.dev, and Wajusoft
When comparing these platforms, several key features stand out. Andela and Turing provide access to a large talent pool of vetted developers. Toptal, Arc.dev and micro1 offer specialized expertise and agile development practices, respectively. Wajusoft excels in flexibility in team scaling and tailored solutions.
Source: www.wajusoft.com
Top 10 Websites to Find Remote Jobs
Who Should Sign UpโญArc caters to a wide range of experience levels. Newbies can benefit from career guidance and skill-building resources, while experienced developers will find a curated selection of high-quality remote positions from top companies.
Source: blog.tmetric.com
Best Freelancer.com Alternatives For Hiring Developers
Arc.dev uses a strict vetting process like other top-rated online marketplaces. It utilizes various assessment tools to ensure its freelancers are of the highest quality. Unlike Freelancer, where you can hire freelancers for the long and short term, Arc.dev focuses on helping companies hire full-time and long-term remote-working developers. The platform ensures all parties...
Source: www.ideamotive.co
Forget LinkedIn: The Top 10 Remote Work Alternatives for Landing Your Dream Tech Job Remotely
Arc: Leveraging AI, Arc is a global remote jobs marketplace connecting companies with talented software developers.
Source: dev.to

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

Based on our record, NumPy should be more popular than Arc.dev. It has been mentiond 122 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.

Arc.dev mentions (22)

  • Top 7 Remote Job Boards for Software Engineers (No "Fake Remote" BS)
    Arc flips the traditional job search model. Itโ€™s an exclusive network primarily aimed at senior developers. - Source: dev.to / 2 months ago
  • Which Hiring Platforms Offer Risk-Free Trials for ReactJS Developers?
    Arc.dev offers companies both full-time and freelance recruiting options for qualified ReactJS engineers. They provide a two-week risk-free trial so businesses can evaluate the developer's abilities and suitability. Businesses can stop operating without incurring any costs if they are not happy. - Source: dev.to / over 1 year ago
  • Best Websites to Hire Remote Software Developers in USA
    Arc.dev Arc.dev specializes in connecting companies with remote developers, designers, and marketers. With a focus on quality, Arc.dev provides access to vetted candidates with domain expertise and English fluency. The platform's unique approach to candidate matching saves time and ensures you find the right fit quickly. - Source: dev.to / over 1 year ago
  • Just Moved to Vienna
    Hallo Leute aus ร–sterreich! I just made my move to Wien, finally. I am offering my Software Engineering Consulting Services and/or Digital Product Management services to anyone who wants to launch an MVP in the digital space in a short manner, or join/lead a small team. Enterprise-grade stuff (I am ex-IBM CIO), no shady businesses, US entity. My profile: https://arc.dev/@arpad Before going into the Software space... - Source: Hacker News / over 2 years ago
  • ๐Ÿ’ผ 50 Tips to Land a Remote Tech Job Based on My 45-Day Journey to 2 Offers
    To be honest, it's another rabbit hole. In my whole experience history with these job platforms, I can 100% backup G2i as I got a dream job there and Toptal, Lemon.io, Turing, and Arc.dev are fine but people have different opinions about them, sometimes they want to charge you a lot, sometimes there is a lack of jobs, etc. It's a thing to consider, but hear this out. - Source: dev.to / over 2 years ago
View more

NumPy mentions (122)

View more

What are some alternatives?

When comparing Arc.dev and NumPy, you can also consider the following products

Flexiple - Flexiple helps companies work with top tech talent within 48 hours to 7 days. Our talent are handpicked through a rigorous screening process and are alumni from top tech companies such as Amazon, Adobe, Microsoft, amongst others.

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

Toptal - Hire the Top 3% of Freelance Talentยฎ. Toptal is an exclusive network of the top freelance software developers, designers, finance experts, product managers, and project managers in the world.

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

Upwork - Forget the old rules. You can have the best people. Right now. Right here.

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

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