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Guru VS NumPy

Compare Guru VS NumPy and see what are their differences

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Guru logo Guru

Guru makes it easy for employers and freelancers to connect, collaborate and get work done flexibly and securely. Browse 1. 5 million freelancers for hire and thousands of projects.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Guru Landing page
    Landing page //
    2021-12-13
  • NumPy Landing page
    Landing page //
    2023-05-13

Guru features and specs

  • Wide Range of Freelancers
    Guru has a large database of freelancers across various fields, making it easier to find the right talent for any specific project.
  • Payment Protection
    Guru offers a SafePay service that holds funds securely, ensuring that both employers and freelancers are protected during the transaction process.
  • Flexible Payment Options
    Guru allows employers to choose from multiple payment methods and scheduling options such as hourly, milestone-based, and recurring payments.
  • Workroom Feature
    Guru provides a Workroom where employers and freelancers can manage their projects, communicate, share files, and track progress efficiently.
  • Cost-Effective
    Guru charges relatively lower fees compared to some other freelancing platforms, making it a cost-effective option for both employers and freelancers.

Possible disadvantages of Guru

  • Website Downtime
    As indicated by the site down page, Guru may experience occasional website downtimes, which can disrupt access to services and communication.
  • User Interface
    Some users find Guru's user interface less intuitive and harder to navigate compared to other freelance platforms.
  • Limited Customer Support
    Users have reported that Guru's customer support can be slow to respond and less helpful, which can be frustrating during urgent issues.
  • Service Fees
    While it's generally cost-effective, Guru still charges service fees which can accumulate, especially for freelancers who deal with multiple small projects.
  • Quality Variability
    With such a wide pool of freelancers, the quality of work can vary significantly, making it necessary for employers to thoroughly vet candidates.

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 Guru

Overall verdict

  • Guru.com is considered a good platform for freelancers and clients looking for reliable project-based work. It provides various tools and resources to support project management and ensure successful collaborations. However, like any platform, it has its share of limitations, such as competition and service fees.

Why this product is good

  • Guru.com is a reputable freelancing platform that connects freelancers with clients across a wide range of industries. It is known for its user-friendly interface, flexible payment options, and diverse job categories. The platform offers a secure workroom environment for communication and file sharing, facilitating smooth collaboration between clients and freelancers.

Recommended for

    Guru is recommended for freelancers seeking flexible work opportunities in fields such as writing, graphic design, programming, and digital marketing. It's also suitable for clients looking for skilled professionals to complete short-term or long-term projects.

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.

Guru videos

How To Get Clients EASILY on Guru.com (Step-By-Step Method for Freelance Websites)

More videos:

  • Review - Guru.com review video

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 Guru and NumPy)
Freelance Marketplace
100 100%
0% 0
Data Science And Machine Learning
Work Marketplace
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 Guru and NumPy

Guru Reviews

The 10 Best Alternatives to Upwork
Guru offers several advantages over Upwork that make it a preferred choice for freelancers and businesses alike. With its secure payment system, flexible payment options, and collaborative WorkRooms, Guru provides a streamlined and efficient platform for freelancers and clients to work together seamlessly.
Source: www.twine.net
UPWORK ALTERNATIVES: THE 10 BEST PLATFORMS FOR FINDING FREELANCERS
Guru caters to freelancers with diverse skills and expertise by offering a wide range of project categories. Whether freelancers specialize in writing, design, programming, marketing, or other fields, they can find relevant opportunities on Guru.
Source: medium.com
Top 10 free Websites to find Remote Job
Guru is a freelance marketplace that connects employers with freelancers for various projects, including remote jobs. It provides a platform for freelancers to find remote job opportunities, collaborate with clients, and receive payment, making it a useful resource for individuals seeking remote work.
Top Sites Like Fiverr โ€“ The Best Alternatives For Freelancers in 2022
It is one of the best Fiverr competitors that gives an easy way to get contacted by potential employers. This platform posts a massive amount of jobs every day. Guru deducts 5% to 9% payment you got after successfully completing a task.
9 Best Upwork Alternatives
Guru offers access to over 3 million freelancers from around the world. You can hire experienced freelancers for anything from logo design to sound engineering.

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 seems to be a lot more popular than Guru. While we know about 122 links to NumPy, we've tracked only 3 mentions of Guru. 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.

Guru mentions (3)

  • I tried to kill myself today
    Guru.com and similar website have tons of resources for starting freelancers. You won't land yourself a cushy programming job in the first week, you may need to hustle long work weeks and multiple employers, but if you are a trained programmer, you shouldn't have much trouble finding a job, after you take care of yourself. Source: almost 5 years ago
  • Web stack for advertisement platform
    Cloud hosted, haven't done any assessment. Maybe something like freelancer.com or guru.com is similar. Source: almost 5 years ago
  • How do you get the initial SEO backlinks?
    Go to guru.com and get a data miner to find you a list of 500 relevant blogs, contact details etc. Source: about 5 years ago

NumPy mentions (122)

View more

What are some alternatives?

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

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

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

Freelancer.com - Search for jobs related to Www freelancer com homepage or hire on the world's largest freelancing marketplace with 12m+ jobs. It's free to sign up and bid on jobs.

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

Fiverr - One marketplace, millions of professional services.

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