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Build a Python GUI with Tkinter

Coursera Project Network via Coursera

Overview

A graphical user interface can be a nice alternative to using the command line for running programs, as there is no need to memorize how to execute a command with arguments. A label may be added to describe what is needed for the application, for example. There are many choices for building a graphical user interface in Python. Some of them require licensing for commercial use and each have their own sets of learning curves. Using Tkinter avoids the licensing issues and is quite simple to use as well. It is a GUI package that is the standard GUI toolkit for python applications and is widely available on multiple platforms including Windows, Mac, and Linux. In this course, you will implement a Tkinter GUI to read from a user-provided file containing data. The GUI will allow the user to plot columnar data as X and Y coordinates on a regression graph, and display statistics about the data from each of the selected columns. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Syllabus

  • Build a Python GUI with Tkinter
    • A graphical user interface can be a nice alternative to using the command line for running programs, as there is no need to memorize how to execute a command with arguments. A label may be added to describe what is needed for the application, for example. There are many choices for building a graphical user interface in Python. Some of them require licensing for commercial use and each have their own sets of learning curves. Using Tkinter avoids the licensing issues and is quite simple to use as well. It is a GUI package that is the standard GUI toolkit for python applications and is widely available on multiple platforms including Windows, Mac, and Linux. In this course, you will implement a Tkinter GUI to read from a user-provided file containing data. The GUI will allow the user to plot columnar data as X and Y coordinates on a regression graph, and display statistics about the data from each of the selected columns.

Taught by

David Dalsveen

Reviews

4.3 rating at Coursera based on 83 ratings

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