python(x,y) icon
python(x,y) icon

python(x,y)

Python(x,y) is a free scientific and engineering development software for numerical computations, data analysis and data visualization based on Python programming language, Qt graphical user interfaces and .

python(x,y) screenshot 1

Cost / License

  • Free
  • Open Source

Application type

Alerts

  • Discontinued

Platforms

  • Windows
python(x,y) alternatives  
Discontinued

The project seems no longer developed. Last version, 2.7.10.0, released in June 2015, can be still downloaded from the official website.

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Features

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  1.  Data visualization

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python(x,y) information

  • Developed by

    FR flagPierre Raybaut & Grizzly Nyo

  • Licensing

    Open Source (BSD-2-Clause) and Free product.

  • Written in

  • Alternatives

    62 alternatives listed

  • Supported Languages

    • English

AlternativeTo Category

Education & Reference

GitHub repository

  •  7 Stars
  •  2 Forks
  •  0 Open Issues
  •   Updated  
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Our users have written 1 comments and reviews about python(x,y), and it has gotten 37 likes

python(x,y) was added to AlternativeTo by redeb on and this page was last updated . python(x,y) is sometimes referred to as pythonxy. 

Comments and Reviews

   
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Top Positive Comment
endolith
★
★
★
★
★
0

python(x, y) is basically obsoleted by Anaconda, which does the same thing but better.

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What is python(x,y)?

Python(x,y) is a free scientific and engineering development software for numerical computations, data analysis and data visualization based on Python programming language, Qt graphical user interfaces and Spyder icon Spyder interactive scientific development environment.

With Python(x,y), one can do:

interactive calculations including for example 2D and 3D plotting or symbolic maths, simple functionnal programming (with MATLAB icon MATLAB -like syntax) as well as powerful object-oriented programming, scientific projects development from the simplest script to the most sophisticated application thanks to Qt development framework and Spyder development environment, parallel computing on multicore/processors computers or even clusters (with Parallel Python),

...and a lot more!

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