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Master Python functions through hands-on terminal examples. Learn function creation, default parameters, keyword arguments, and iterative development workflow with step-by-step demonstrations.
Master Python dictionaries through comprehensive examples. Learn key-value operations, data modification, iteration techniques, and practical applications with real terminal demonstrations.
Master Python sets through practical examples. Learn about unique element storage, duplicate handling, and set operations with real terminal demonstrations.
Learn Python tuples through hands-on examples. Understand immutability, error handling, and practical use cases with step-by-step terminal demonstrations.
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.
Explore AI's fascinating journey from the 1956 Dartmouth Conference to today's neural networks, deep learning, and everyday applications transforming our world.
Master advanced Dockerfile concepts including multi-stage builds, ENTRYPOINT vs CMD, build arguments, security scanning, and production optimization techniques.