pandas series methods
Автор: Naser Nikandish
Загружено: 2026-01-28
Просмотров: 368
Описание:
In this video, we explore commonly used pandas Series methods and how they simplify everyday data analysis tasks. You’ll learn how built-in methods allow you to summarize, transform, and inspect data efficiently without writing complex loops or custom logic.
The focus is on understanding what these methods do, when to use them, and how they behave in the presence of missing values. Examples are practical and incremental, helping you build fluency with Series operations that appear frequently in real-world workflows.
Topics covered:
Overview of commonly used pandas Series methods
Descriptive and summary methods (e.g., counts, statistics)
Value transformation and mapping
How Series methods handle missing values
📂 Code examples and learning materials are available on GitHub:
https://github.com/NaserNikandish/Pyt...
📌 Recommended: Familiarity with pandas Series, indexing, and Boolean filtering will be helpful before watching this video.
Naser Nikandish
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