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NumPy VS MindTickle

Compare NumPy VS MindTickle and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

MindTickle logo MindTickle

MindTickle is a sales readiness platform to reduce ramp time, drive consistent messaging, & ensure effective field communication
  • NumPy Landing page
    Landing page //
    2023-05-13
  • MindTickle Landing page
    Landing page //
    2023-06-20

NumPy

Website
numpy.org
Pricing URL
-
$ Details
Release Date
-
Edit details

MindTickle

Website
mindtickle.com
Pricing URL
Official MindTickle Pricing
$ Details
-
Release Date
2011 January
Startup details
Country
United States
State
California
City
San Francisco
Founder(s)
Deepak Diwakar
Employees
250 - 499
Edit details

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

MindTickle videos

+ Add

MindTickle!Demo

More videos:

  • Demo - MindTickle! Demo
  • Review - The MindTickle Experience

Category Popularity

0-100% (relative to NumPy and MindTickle)

NumPy

MindTickle

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Education
0 0%
Education
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Online Learning
0 0%
Online Learning
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 NumPy and MindTickle

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

MindTickle Reviews

We have no reviews of MindTickle yet.
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Social recommendations and mentions

Based on our record, NumPy seems to be more popular. It has been mentiond 108 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 (108)

  • 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
  • JSON in data science projects: tips & tricks
    Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 3 months ago
  • Introducing Flama for Robust Machine Learning APIs
    Numpy: A library for scientific computing in Python. - Source: dev.to / 6 months ago
  • A Comprehensive Guide to NumPy Arrays
    Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 7 months ago
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MindTickle mentions (0)

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

What are some alternatives?

When comparing NumPy and MindTickle, 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.

Adobe Captivate Prime LMS - Adobe Captivate Prime LMS is easy to setup and helps in delivering engaging learning experiences in a personalized manner across devices.

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

Collaborator - Система дистанційного навчання повного циклу із аналітикою в реальному часі та інструментами внутрішнього маркетингу.

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

Moodle - Moodle is the world's most popular learning management system. Start creating your online learning site in minutes!

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