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The chapter focuses on writing Python programs for basic data processing and visualization tasks using libraries such as NumPy, Pandas, Matplotlib, and OpenCV. Key topics include performing list operations, calculating statistical measures, plotting data, reading CSV files, and handling image data. These foundational skills are pivotal for understanding artificial intelligence and machine learning workflows.
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References
Chapter_32_Pytho.pdfClass Notes
Memorization
What we have learnt
Revision Tests
Term: NumPy
Definition: A Python library for numerical computing that provides functions for working with arrays and matrices.
Term: Pandas
Definition: A data manipulation and analysis library for Python that offers data structures like DataFrames.
Term: Matplotlib
Definition: A plotting library for the Python programming language and its numerical mathematics extension NumPy.
Term: OpenCV
Definition: An open-source computer vision and machine learning software library that enables image processing capabilities.