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how Python runs your code behind the scenes. In this tutorial, we explain Python's execution process step-by-step: from how the interpreter reads your code, how Python compiles it 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to your first step into the world of Python programming! 🚀 In this beginner-friendly Python tutorial, I’m Asibeh—your instructor and guide on this journey. 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Stop guessing about Python's data types! In this complete tutorial, we break down everything you need to know...","preview":{"posterSrc":"data:image/png;base64,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","censoredPosterSrc":"data:image/png;base64,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this video, we delve into two essential loop control statements in Python: the break and continue statements. cleaner, more predictable loops #epythonlab2025 #Python #PythonTutorial 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this Python tutorial, building on our previous lesson about importing existing modules, we explore how to write your own \"python custom modules\". This foundational skill for \"python 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the power of Python string functions in this comprehensive tutorial. Whether you're a beginner or looking to refresh your skills, this video covers essential methods like join(), split...","preview":{"posterSrc":"data:image/png;base64,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","censoredPosterSrc":"data:image/png;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCABEAHgDASIAAhEBAxEB/8QAHAAAAQQDAQAAAAAAAAAAAAAAAAECBgcEBQgD/8QANxAAAQMDAwIDBQgCAQUAAAAAAQIDBAAFEQYSIQcxE0FRFBUiMnEIIzNhcoGRsRZC4RckUqHB/8QAGwEAAgMBAQEAAAAAAAAAAAAAAgQAAQMFBgf/xAAwEQABAwM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performance...","preview":{"posterSrc":"data:image/png;base64,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","censoredPosterSrc":"data:image/png;base64,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the essential built-in data types in Python and how they work. In this beginner-friendly tutorial, we cover integers, floating-point numbers (floats), Booleans, and strings with simple...","preview":{"posterSrc":"data:image/png;base64,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","censoredPosterSrc":"data:image/png;base64,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Dive into this interactive Python list quiz and see how much you really know! In this video, you'll go through multiple-choice questions based on Python...","preview":{"posterSrc":"data:image/png;base64,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","censoredPosterSrc":"data:image/png;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCABEAHgDASIAAhEBAxEB/8QAHQAAAQUBAQEBAAAAAAAAAAAAAAQFBgcIAwkCAf/EAD4QAAIBAwMCAw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video teaches Python functions using real healthcare examples, designed for beginners who want to move into AI, machine learning, and medical data science. 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functions...","preview":{"posterSrc":"data:image/png;base64,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Welcome back to our ETL tutorial series. In this video, I'll be focusing on ETL 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5: Loops and Conditions Watch Day 1, 2, 3, and 4 Videos: • Python for Beginners in Amharic Join this channel to get access to perks: https://bit.ly/363MzLo #python #ethiopia #datascience 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this tutorial, you'll learn how to build your own real-time cryptocurrency analyzer using Python, Dash, Plotly, and the Binance API. You'll learn how to fetch live data from the Binance...","preview":{"posterSrc":"data:image/png;base64,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this episode, dive into coding *self attention* in Python, bringing mathematical concepts to life step-by-step using *coding python**. 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works...","preview":{"posterSrc":"data:image/png;base64,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","censoredPosterSrc":"data:image/png;base64,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guys, welcome to day 19 for the beginner's tutorial. In this step-by-step tutorial, you will develop a command-line shopping app like a command-line to-do 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Build your own AI-powered Cover Letter Generator using Python, Flask, ChatGPT API (GPT-4), and Tailwind CSS in this hands-on, beginner-friendly tutorial! 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In this episode, you will learn an introduction to object-oriented programming in Python. 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everyone, and welcome to today's tutorial on creating XML documents in Python. I'm excited to guide you through this beginner's guide to generating XML structures programmatically using...","preview":{"posterSrc":"data:image/png;base64,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","censoredPosterSrc":"data:image/png;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCABEAHgDASIAAhEBAxEB/8QAHAAAAgIDAQEAAAAAAAAAAAAAAAQDBgEFBwII/8QARxAAAQMDAwECCAoHBQkAAAAAAQIDBAAFEQYSITETQQcUFSJRVGFxMjVCdJGSk7LR0ggjNFJigaEXJFNVlSUzV2N1g6Kzwf/EABoBAAIDAQEAAAAAAAAAAAAAAAMEAQIGAAX/xAA1EQABAwIEAwUHAgcAAAAAAAABAAIDBBESITFRBRNBcYG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to @epythonlab In this Python tutorial, I'll delve into the exciting world of data modeling. You'll learn how to efficiently implement data modeling with SQLAlchemy in Python.","preview":{"posterSrc":"data:image/png;base64,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","censoredPosterSrc":"data:image/png;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCABEAHgDASIAAhEBAxEB/8QAHAAAAgMBAQEBAAAAAAAAAAAAAAYDBAUCBwEI/8QANxAAAgEEAQMCAwYFAgcAAAAAAQIDAAQFERIGEyExQQciURQVMjNhcSNCgZGhYpIWJCVSVcHR/8QAGwEAAQUBAQAAAAAAAAAAAAAABgABAgQFAwf/xAA3EQABAgQEAgcHAgcAAAAAAAABAhEAAwQhBRIxQVFhEyJxgaGx8AYUFTIz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I'll look at some simple examples and start building powerful time series analysis tools. 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This CLI to-do list app will allow you to add, remove, and view tasks. It's a great way to...","preview":{"posterSrc":"data:image/png;base64,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","censoredPosterSrc":"data:image/png;base64,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