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Customer Thermometer VS NumPy

Compare Customer Thermometer VS NumPy and see what are their differences

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Customer Thermometer logo Customer Thermometer

The only customer satisfaction survey you can answer directly from your inbox. Industry leading response rate email feedback. Never lose another customer.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Customer Thermometer Landing page
    Landing page //
    2023-07-12

  www.customerthermometer.comSoftware by Customer Thermometer

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

Customer Thermometer videos

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Introducing Customer Thermometer!

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 Customer Thermometer and NumPy)

Customer Thermometer

NumPy

Surveys
100 100%
Surveys
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Customer Feedback
100 100%
Customer Feedback
0% 0
Data Science Tools
0 0%
Data Science Tools
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 Customer Thermometer and NumPy

Customer Thermometer Reviews

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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 109 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.

Customer Thermometer mentions (0)

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

NumPy mentions (109)

  • 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 / about 2 hours 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
  • 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
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What are some alternatives?

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

Survey Monkey - Create and publish online surveys in minutes, and view results graphically and in real time. SurveyMonkey provides free online questionnaire and survey software.

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

Survey Analytics - Enterprise customer research platform

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

Survey Anyplace - Easy & Attractive Mobile surveys. Survey Anyplace enables anybody to create a mobile survey for tablets and smartphones. No app install. All devices.

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

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