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Python Pandas Tutorial 2: Dataframe Basics

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This pandas tutorial covers basics on dataframe. DataFrame is a main object of pandas. It is used to represent tabular data (with rows and columns). This tutorial will go over,
1) What is dataframe?
2) Create dataframe from csv file and python dictionary
3) Dealing with rows and columns
4) Operations: mean, max, std, describe
5) Conditional selection
6) set_index function and usefulness of it

Topics that are covered in this Python Pandas Video:
0:00 Introduction
0:15 What is Dataframe?
2:02 Import pandas in jupyternotebook
3:34 Create dataframeusing python dictionary
5:15 Use head() method
5:52 Use tail() method
6:10 Use Indexing and slicing in dataframe
8:12 Insert new cell in current cell
8:39 What is the type of your dataframe?
10:01 Operations with your dataframe
10:34 Use max() method
11:02 Use mean() method
11:11 Use min() method
11:23 Use describe() method
12:12 Conditional select the data in your dataframe
14:55 Pandas operations list
15:41 Use set_index() method
18:12 Use reset_index() method

Code: https://github.com/codebasics/py/tree/master/pandas/2_dataframe_basics

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Python Pandas Tutorial 3: Different Ways Of Creating DataFrame

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