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wxPython VS NumPy

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

wxPython logo wxPython

wxPython is a GUI toolkit for the Python programming language.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • wxPython Landing page
    Landing page //
    2021-10-18
  • NumPy Landing page
    Landing page //
    2023-05-13

wxPython videos

+ Add

Python Top 3 GUI Frameworks In 2019 (PyQt5, wxPython, TKinter)

More videos:

  • Review - Starting on a GUI: WXpython vs Kivy #MP55
  • Tutorial - How To Create Panel In wxPython GUI Programming #2

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 wxPython and NumPy)

wxPython

NumPy

Rapid Application Development
100 100%
Rapid Application Development
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Development Tools
100 100%
Development Tools
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using wxPython 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 wxPython and NumPy

wxPython Reviews

Which Python GUI library should you use? Comparing the Python GUI libraries available in 2023
WxPython is under active development and is also currently being reimplemented from scratch under the name 'WxPython Phoenix'. The team behind WxWidgets is also responsible for WxPython, which was initially released in 1998.
Source: www.pythonguis.com
10 Best Python Libraries for GUI
Nearing the end of our list is Wax, which is the wrapper for wxPython. Offering the same functionality as wxPython, Wax stands out thanks to it being far more user-friendly. Wax is also implemented as an extension module for Python, and it supports the development of cross-platform applications.
Source: www.unite.ai
Top 10 Python GUI Frameworks for Developers
wxPython is essentially a Python extension module that acts as a wrapper for the wxWidgets API. wxPython allows Python developers to create native user interfaces that add zero additional overhead to the application. The cross-platform capabilities of wxPython allow deployment to platforms like Windows, Mac OS, Linux, and Unix-based systems with little to no modifications.
Source: towardsdatascience.com

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 112 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.

wxPython mentions (0)

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

NumPy mentions (112)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 7 days ago
  • 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 / 8 days ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 13 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 / 15 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
View more

What are some alternatives?

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

PyQt - Riverbank | Software | PyQt | What is PyQt?

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

Kivy - Open source Python framework for rapid development of applications that make use of innovative user interfaces, such as multi-touch apps. Installation on WindowsInstallation on Windows. Installation; What are wheels .

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

Tkinter - Tkinter is a Python wrapper for Tcl/Tk that offers classes to create various graphical user interfaces.

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

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