Python Programming: File Handling and Exceptions

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Covers decision tree classification using KNIME Analytics Platform for data preprocessing and model creation.

Introduces NumPy and Matplotlib, essential tools for scientific computing and data visualization in Python.

Introduces Python programming basics, covering data types, operators, variables, functions, and code tracing.

Covers the basics of working with files in Python, including file objects, reading and writing files, and copying files.

Introduces Python programming basics using Anaconda and JupyterLab, with practical exercises on syntax and libraries.

Introduces Python programming basics, covering variables, methods, conditions, loops, and boolean logic.

Explores recursive functions, including factorials and Fibonacci sequences, and their scope and namespaces.

Introduces a programming course for engineers, emphasizing the importance of mastering multiple languages for future projects.

Explores the analysis of structures and mechanisms through a sample problem of opening a box with a string-held lid.

Introduces functions in Python, covering predefined and user-defined functions, formal and effective parameters, and the importance of docstrings.