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Master Python lists with hands-on examples. Learn append, remove, sort, insert, pop methods with step-by-step development and complete output analysis for practical programming.
Master Python loops with detailed examples. Learn the differences between for and while loops, understand their execution flow, and see real-world applications with complete output analysis.
Learn how to test and verify your Python data science installation with practical examples. Create your first NumPy arrays, Pandas DataFrames, and load Scikit-learn datasets.
Learn how to install essential Python data science packages including NumPy, Pandas, and Scikit-learn on CentOS. Complete with troubleshooting tips and package explanations.
Master Python conditional statements with if-elif-else structures. Learn to build decision-making programs with practical examples including number classification and grade calculators.
Master Python arithmetic operations, understand data type conversion, and learn to handle common TypeError issues. Build a practical calculator with input validation and error handling.
Learn to create and run your first Python program. Master Python's critical indentation rules through hands-on examples and understand how proper formatting affects code execution.
Learn how to install Python 3, set up your development environment with VS Code or PyCharm, and verify your installation. Perfect for beginners starting their Python journey.