Learn Pandas in 20 minutes 🐼🐼 A Python Library ✨ A Quick Introduction to the basic concepts ✅
👉 A quick introduction to Pandas ( a Python Library)
👉 Useful for Power BI Developers , Data Analysts and others ☑️
👉 Learn Pandas concepts in just 20 minutes ☑️
👉 In this video you will learn about Pandas Library ,its data structures, methods, functions etc.,
👉 What is Pandas Series and how to create it ?
👉 What is a Pandas Data Frame and how to create it?
AI Summary of this Video:
This video provides a quick introduction to the basic concepts of the Pandas library in Python.
It covers:
What Pandas is and its capabilities for reading and writing data from various formats (0:02).
How to install Pandas using pip or conda (0:33).
The two primary data structures in Pandas: Series (one-dimensional, labeled array) and DataFrame (two-dimensional, like a spreadsheet) (1:21).
How to create Series and DataFrames from Python lists and dictionaries (2:30).
Loading data from a CSV file using pd.read_csv() (4:16).
Basic data exploration methods like head(), tail(), sample(), size, shape, info(), dtypes, and describe() (5:14).
Selecting data using single or multiple column names (9:05).
Filtering data based on single or multiple conditions (11:38).
Data selection using .loc (label-based) and .iloc (integer-location based) (13:32).
Using value_counts(), nunique(), and unique() methods for understanding data distribution (18:38).
The video concludes by stating that this is just a brief overview and Pandas has much more functionality (19:33).
TIMESTAMPS
00:00 Intro
01:22 Primary Data Structures in Pandas
02:09 Create Series and Data Frame
04:15 Load Sample CSV Data
05:09 Data Exploration & Overview of Pandas methods/functions/attributes
13:32 Data Selection .loc and .iloc
18:35 value_counts() method
18:57 Conclusion