Learn how to use Python for data science, from data manipulation to building powerful machine learning models
Lecture 1.3: Learn Control Flow in Python Introduction to Control Flow in Python Control flow allows you to write code that performs specific actions depending on various conditions. Python provides several control flow mechanisms, such as conditional statements (if, elif, else), loops (for, while), and more advanced tools like break, continue, and pass. In this […]
Lecture 1.2: Python Basics Introduction The fundamentals of Python programming, including knowledge of variables, data types, and standard operations, will be covered in this course. You will be able to build Python code that handles data well and carries out basic calculations by the end of this lesson. What is a Variable? A variable is […]
Section 1: Introduction to Python Lecture 1.1: What is Python and Why Use It for Data Science Overview of Python as a Programming Language: Python is a high-level, flexible programming language known for its easy-to-understand and readable code. It supports a wide variety of programming styles like procedural, object-oriented, and functional programming. Its simplicity enables […]
