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This tutorial introduces NumPy for scientific computing in Python using Anaconda and Jupyter Notebook. It covers array creation and manipulation, file I/O, mathematical, statistical, trigonometric, linear algebra, financial, and comparison functions.
Syllabus
Intro.
Creating Arrays.
Data Types.
Slicing & Indexing.
Reshaping Arrays.
Stacking & Splitting.
Copying Arrays.
Universal Math.
Reading From Files.
Statistics Functions.
Creating Formulas.
Trigonometry Functions.
Linear Algebra.
Saving & Loading NumPy Objects.
Loading Libraries in Anaconda.
Financial Functions.
Comparison Functions.
Taught by
Derek Banas