Series, DataFrames & Other Basics - Pandas | Python ~ Episode 1
Hey Coders! Let's jump right into learning the fundamentals of pandas, starting off with Series & Dataframes. These two pandas specific data types are central in understanding and using pandas, just as lists and dictionaries are critical in using python. A DataFrame is a 2-dimensional representation of your tabular data. It holds all the rows, columns, and values in your data. A Series is only 1-dimensional. It could be just a single column or a single row. In this video, we'll start off by taking some time to get a strong conceptual understanding of these data types, and then we'll move into demoing some basic methods found in each of these classes.
Check out the source code on GitHub:
https://github.com/davidtheweiss/pand...
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🧑💻 Pandas Documentation: https://pandas.pydata.org/docs/refere...
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🕒 Timestamps
0:00 Intro
0:50 Series and DataFrames
2:25 Pandas Series Objects Intro
7:05 Pandas DataFrame Objects Intro
8:47 read_csv()
14:40 set_option()
16:23 head()
17:38 tail()
18:14 shape
19:24 columns
19:44 index
20:41 dtypes
22:16 Indexes are for values in a Series and rows in a DataFrame
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