Tag: Tkinter

GUI Programming with Python Mastering Tkinter, PYQT, and WXPython For Desktop Applications


Free Download GUI Programming with Python: Mastering Tkinter, PYQT, and WXPython For Desktop Applications by ALEX CODER
English | July 12, 2024 | ISBN: N/A | ASIN: B0D9DQNRWZ | 136 pages | EPUB | 0.62 Mb
Unlock the power of creating visually appealing, user-friendly applications with Python’s GUI programming capabilities. In GUI Programming with Python, you’ll discover the essential skills to design and implement graphical user interfaces that transform how users interact with your software.

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PYTHON TKINTER GUI PROJECTS PRACTICAL EXERCISES FOR BEGINNERS (PYTHON PROGRAMMING CODING GUIDE)


Free Download PYTHON TKINTER GUI PROJECTS: PRACTICAL EXERCISES FOR BEGINNERS (PYTHON PROGRAMMING CODING GUIDE) by VAISHALI B BHAGAT
English | June 1, 2024 | ISBN: 832731895X | 224 pages | EPUB | 4.4 Mb
Discover the power of creating beautiful and functional graphical user interfaces (GUIs) with "Python Tkinter GUI Project." This book is perfect for beginners and those with some programming experience who want to learn how to build applications using Python’s Tkinter library.

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Building Modern GUIs with Python and Tkinter


Free Download Building Modern GUIs with Python and Tkinter
English | 2024 | ASIN : B0DD7D2DZH | 188 Pages | EPUB | 0.3 MB
Tired of clunky, outdated GUIs? Ready to create visually appealing, intuitive applications that wow your users? Look no further than Building Modern GUIs with Python and Tkinter. This comprehensive guide empowers you to harness the simplicity of Python and the versatility of Tkinter to craft exceptional user experiences.

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Tkinter, Data Science, And Machine Learning


Free Download Tkinter, Data Science, And Machine Learning
English | 2023 | ASIN : B0CH62R5RY | 282 Pages | EPUB | 10 MB
In this project, we embarked on a comprehensive journey through the world of machine learning and model evaluation. Our primary goal was to develop a Tkinter GUI and assess various machine learning models on a given dataset to identify the best-performing one. This process is essential in solving real-world problems, as it helps us select the most suitable algorithm for a specific task. By crafting this Tkinter-powered GUI, we provided an accessible and user-friendly interface for users engaging with machine learning models. It simplified intricate processes, allowing users to load data, select models, initiate training, and visualize results without necessitating code expertise or command-line operations. This GUI introduced a higher degree of usability and accessibility to the machine learning workflow, accommodating users with diverse levels of technical proficiency.

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