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👋🏻 Hi friends ! In this particular I would provide the one overall Basics 📖 together by the Roadmap. And you would surely get to known the most necesary thing that you need to learn for creating more better applications 💻 regarding GUI Interface using Python 🐍
🧐 Let's first known what are the required Tech Application 📱 regarding it ⌨️
➱ Python IDLE or Python Environment 🖱️
▷ Python is one of the most popular programming languages today, known for its simplicity and ease of use. Whether you're just starting with coding or looking to pick up another language, Python is an excellent choice.
▷ Its clean and straightforward syntax makes it beginner-friendly, while its powerful libraries and frameworks are perfect for advanced projects.
🎯 Downloadable Python Environment 🔌 Python IDLE 👈🏼
➱ Visual Studio Code (VS Code) ⌨️
▷ Visual Studio Code, commonly referred to as VS Code,[9] is a code editor developed by Microsoft for Windows, Linux, macOS and web browsers.[10][11] Features include support for debugging, syntax highlighting, intelligent code completion, snippets, code refactoring, and embedded version control with Git. Users can change the theme, keyboard shortcuts, preferences, and install extensions that add functionality.
🎯 Downloadable Python Environment 🔌 Official VS Code
➱ tkinter GUI Library
▷ Python offers multiple options for developing GUI (Graphical User Interface). Out of all the GUI methods, tkinter is the most commonly used method. It is a standard Python interface to the Tk GUI toolkit shipped with Python.
▷ Python Tkinter is the fastest and easiest way to create GUI applications. Creating a GUI using Tkinter is an easy task.
➱ 🗞️ lingua Language Detector 📜
▷ Generally, this is a language detector and usable library that is been used in order to check the language of the text, as I have used here the language limitation that the person can only, be able to check the sentiment of the sentence together with the emotion.
➱ 📦 Transformers - Pretrained Model 🖲️
▷ It is another usable and the most important library that contains our main working module regarding which we used to get the sentiment, its score and emotion using the already pretrained model.
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