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Building a GUI for linear algebra with Python

0

I'm trying to make a medium-sized set of applications using Python to illustrate linear algebra examples. It is intended to run inside a web browser. How to do it? Besides I don't know if Python can handle the mathematics or if there's a specific Python package designed for linear algebra.

python software-rec gui cross-platform python-gui

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edited 4 mins ago

karel

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asked 1 hour ago

riccs_0xriccs_0x

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0

I'm trying to make a medium-sized set of applications using Python to illustrate linear algebra examples. It is intended to run inside a web browser. How to do it? Besides I don't know if Python can handle the mathematics or if there's a specific Python package designed for linear algebra.

python software-rec gui cross-platform python-gui

share|improve this question

edited 4 mins ago

karel

9,34493239

asked 1 hour ago

riccs_0xriccs_0x

1013

New contributor

riccs_0x is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

add a comment | 

I'm trying to make a medium-sized set of applications using Python to illustrate linear algebra examples. It is intended to run inside a web browser. How to do it? Besides I don't know if Python can handle the mathematics or if there's a specific Python package designed for linear algebra.

python software-rec gui cross-platform python-gui

share|improve this question

edited 4 mins ago

karel

9,34493239

asked 1 hour ago

riccs_0xriccs_0x

1013

New contributor

riccs_0x is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

share|improve this question

edited 4 mins ago

karel

9,34493239

asked 1 hour ago

riccs_0xriccs_0x

1013

New contributor

riccs_0x is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

share|improve this question

edited 4 mins ago

karel

9,34493239

asked 1 hour ago

riccs_0xriccs_0x

1013

New contributor

riccs_0x is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

edited 4 mins ago

karel

9,34493239

edited 4 mins ago

karel

9,34493239

asked 1 hour ago

riccs_0xriccs_0x

1013

New contributor

riccs_0x is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

asked 1 hour ago

riccs_0xriccs_0x

1013

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Numpy, Pandas and Jupyter Notebook are cross platform (Windows, Mac and Linux) programs that will help you to build your linear algebra application and run it in inside a web browser. It took 1-2 hours for me to build this web app for displaying plots in Python. I think you'll like trying the interactive widgets in your application. When I built my web app, several of the Python packages I used were not available in the default software repositories of my Ubuntu operating system, but this has changed and they are all in my OS's current default software repositories now.

Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Notebook has support for multiple programming languages (including very good support for Python), sharing, and interactive widgets.

Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data:

• Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet


• Ordered and unordered (not necessarily fixed-frequency) time series data.


• Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels


• Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure.

Numpy contains a powerful N-dimensional array object, sophisticated broadcasting) functions, tools for integrating C/C++ and Fortran code, and useful linear algebra, Fourier transform, and random number capabilities.

share|improve this answer

edited 6 mins ago

answered 17 mins ago

karelkarel

9,34493239

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0

Numpy, Pandas and Jupyter Notebook are cross platform (Windows, Mac and Linux) programs that will help you to build your linear algebra application and run it in inside a web browser. It took 1-2 hours for me to build this web app for displaying plots in Python. I think you'll like trying the interactive widgets in your application. When I built my web app, several of the Python packages I used were not available in the default software repositories of my Ubuntu operating system, but this has changed and they are all in my OS's current default software repositories now.

Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Notebook has support for multiple programming languages (including very good support for Python), sharing, and interactive widgets.

Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data:

• Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet


• Ordered and unordered (not necessarily fixed-frequency) time series data.


• Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels


• Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure.

Numpy contains a powerful N-dimensional array object, sophisticated broadcasting) functions, tools for integrating C/C++ and Fortran code, and useful linear algebra, Fourier transform, and random number capabilities.

share|improve this answer

edited 6 mins ago

answered 17 mins ago

karelkarel

9,34493239

add a comment | 

0

Numpy, Pandas and Jupyter Notebook are cross platform (Windows, Mac and Linux) programs that will help you to build your linear algebra application and run it in inside a web browser. It took 1-2 hours for me to build this web app for displaying plots in Python. I think you'll like trying the interactive widgets in your application. When I built my web app, several of the Python packages I used were not available in the default software repositories of my Ubuntu operating system, but this has changed and they are all in my OS's current default software repositories now.

Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Notebook has support for multiple programming languages (including very good support for Python), sharing, and interactive widgets.

Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data:

• Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet


• Ordered and unordered (not necessarily fixed-frequency) time series data.


• Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels


• Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure.

Numpy contains a powerful N-dimensional array object, sophisticated broadcasting) functions, tools for integrating C/C++ and Fortran code, and useful linear algebra, Fourier transform, and random number capabilities.

share|improve this answer

edited 6 mins ago

answered 17 mins ago

karelkarel

9,34493239

add a comment | 

Numpy, Pandas and Jupyter Notebook are cross platform (Windows, Mac and Linux) programs that will help you to build your linear algebra application and run it in inside a web browser. It took 1-2 hours for me to build this web app for displaying plots in Python. I think you'll like trying the interactive widgets in your application. When I built my web app, several of the Python packages I used were not available in the default software repositories of my Ubuntu operating system, but this has changed and they are all in my OS's current default software repositories now.

Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Notebook has support for multiple programming languages (including very good support for Python), sharing, and interactive widgets.

Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data:

• Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet


• Ordered and unordered (not necessarily fixed-frequency) time series data.


• Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels


• Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure.

Numpy contains a powerful N-dimensional array object, sophisticated broadcasting) functions, tools for integrating C/C++ and Fortran code, and useful linear algebra, Fourier transform, and random number capabilities.

share|improve this answer

edited 6 mins ago

answered 17 mins ago

karelkarel

9,34493239

share|improve this answer

edited 6 mins ago

answered 17 mins ago

karelkarel

9,34493239

answered 17 mins ago

karelkarel

9,34493239

answered 17 mins ago

karelkarel

9,34493239