Python Data Essentials: Programming Fundamentals
Conditionals, loops, functions and object-oriented basics to prepare for pandas and NumPy.
This course targets complete beginners who want to acquire the minimum Python fundamentals to work with data analysis libraries. It covers control flow, functions, and classes — the pillars of Python.
Prerequisites: Knowledge of basic types: int, float, str, list, dict, tuple, set.
In Python, the bool type can only hold two values: True or False. These values represent logical states for making decisions in code.
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What's inside
8 sections- 1 Table of Contents
- 2 Course Overview
- 3 Conditional Statements and Boolean Values
- 4 Implementing Loops
- 5 Code Reuse with Functions
- 6 Grouping Data and Functions in Objects (OOP)
- 7 Reference Diagrams
- 8 Reference Tables
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