Overview
This course aims to teach learners the fundamentals of NumPy for data science. By the end of the course, students will be able to understand the basics of NumPy, manipulate arrays, perform mathematical operations, work with matrices, handle file input and output, and apply statistical and linear algebra functions. The course follows a tutorial format with hands-on exercises to reinforce learning. It is designed for beginners looking to enter the field of data science.
Syllabus
Python Numpy Tutorial - 1 - Introduction to NumPy.
Python Numpy Tutorial - 2 - Basics of NumPy.
Python Numpy Tutorial - 3 - Get Elements and Indexing.
Python Numpy Tutorial - 4 - Updating and Copying Arrays.
Python Numpy Tutorial - 5 - Intializing Matrices and Arrays.
Python Numpy Tutorial - 6 - Reshaping and Reorganization.
Python Numpy Tutorial - 7 - Mathematics.
Python Numpy Tutorial - 8 - Linear Algebra.
Python Numpy Tutorial - 9 - Statistics in NumPy.
Python Numpy Tutorial - 10 - File Handling.
Taught by
buildwithpython