Level: Beginner — Author: Writix
Level: Beginner • Duration: 3 hours
Author: Writix
NumPy is a fundamental library in Python programming. Major libraries like TensorFlow and scikit-learn utilize NumPy arrays as their foundational input structures, while pandas and Matplotlib are developed on top of NumPy. In this Introductory course, you'll master the core object of NumPy: arrays! By analyzing data from New York City's tree census, you'll learn to create, sort, filter, and update arrays. You'll explore the efficiency of NumPy and implement broadcasting and vectorization to optimize your code. By the end, you'll manipulate 3D arrays to transform a Claude Monet painting, gaining insights into their importance in machine learning.
Duration: 3 hours
XP Points: 350
Participants: 0
- Individuals new to Python who want to learn about data manipulation. - Students interested in data science and machine learning. - Professionals looking to enhance their programming skills with NumPy. - Anyone keen to understand the foundational tools for data analysis. - Educators who want to teach data handling using Python.