Learn the fundamentals of NumPy, a powerful scientific computing library for Python, in this comprehensive tutorial video. Explore array creation, data types, slicing, indexing, reshaping, stacking, splitting, and copying. Master universal math operations, file reading, statistical functions, formula creation, and trigonometry. Dive into linear algebra concepts, discover how to save and load NumPy objects, and understand loading libraries in Anaconda. Gain insights into financial and comparison functions, equipping yourself with essential skills for data science and machine learning applications.
Overview
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
