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JobCull VS NumPy

Compare JobCull VS NumPy and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

JobCull logo JobCull

Securely save and track all of your applied jobs in one place or find better opportunity at JobCull.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • JobCull Landing page
    Landing page //
    2020-03-04

Securely track and save all of your applied jobs with its descriptions, tailored resumes, cover letters, and notes in one place. Also the first and only place where you can get paid in crypto for job searching.

  • NumPy Landing page
    Landing page //
    2023-05-13

JobCull features and specs

  • Clean UI: Mobile-optimized and accessibility-conscious

NumPy features and specs

No features have been listed yet.

JobCull videos

No JobCull videos yet. You could help us improve this page by suggesting one.

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NumPy videos

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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 JobCull and NumPy)

JobCull

NumPy

Productivity
100 100%
Productivity
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Job Boards
100 100%
Job Boards
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using JobCull 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 JobCull and NumPy

JobCull Reviews

  1. It got me a job

    Easy layout. Works on my phone. It got me a job.

    🏁 Competitors: Glassdoor, indeed, ZipRecruiter
    👍 Pros:    Got a job|Easy layout|Works on my phone
    👎 Cons:    Can be a bit better on the phone

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 seems to be more popular. It has been mentiond 111 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.

JobCull mentions (0)

We have not tracked any mentions of JobCull yet. Tracking of JobCull recommendations started around Mar 2021.

NumPy mentions (111)

  • 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 / about 13 hours ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 6 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 / 8 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 / 9 months ago
  • Element-wise vs Matrix vs Dot multiplication
    In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
View more

What are some alternatives?

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

Job Tracker by Teal - Track and organize your entire job search in one place.

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

Avocado Jobs - Keep track of your job applications

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

Huntr - Job Application Tracker & CRM. Huntr keeps track of every detail about your job applications - notes, dates, tasks, job descriptions, salaries, locations, company data and more.

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

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