Tutorial: Pandas Introduction

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Course Content
Course Summary
Course Files
Section 1: Introduction
About the course - 03:13
Python Introduction - 04:01
Installing Python - 05:29
Writing your first code in Python - 04:01
All about Jupyter Notebook - 05:22
Section 2: Python Building Blocks
Operators - 05:19
Functions - 06:39
Variables - 03:50
String Data Type - 1 - 02:54
String Data Type - 2 - 02:37
String Data Type - 3 - 03:24
String Data Type - 4 - 02:39
String Data Type - 5 - 03:13
String Data Type - 6 - 12:50
Section 3: Data Structures
Introduction to List data type - 07:48
Methods in List Data type - 09:41
Dictionary - 07:08
Sets - 08:09
Tuple - 05:11
Section 4: Flow control statements and Functions
IF-ELSE, WHILE and FOR - 13:00
Functions - Basics - 04:28
Lambda Function - 05:45
Section 5: File Input/Output
File handling - read operations - 05:10
File handling - write operations - 03:45
Section 6: Object Oriented Programming
Classes and Objects - 06:38
OOPS Inheritance - 06:15
Section 7: Errors and Exceptions
All about errors and exceptions - 09:36
Raise and Assert Statements - 03:41
Section 8: Text mining using Regular Expressions
Introduction to regular expressions - 04:21
Extracting numbers from text - 04:12
FINDITER method - 03:49
Meta characters and extracting email addresses - 08:15
Section 9: NumPy
NumPy Introduction - 10:28
Indexing and Slicing - 05:47
Mathematical Operations- Universal Functions - 05:54
Sort Combine and Split arrays - 08:17
Section 10: Pandas
Pandas Introduction - 05:09
Data frame attributes - 05:02
Reading and Writing data frame - 05:57
Index Slice Drop Data frame - 05:55
Sorting and Filtering - 11:25
Section 11: MatplotLib
MatplotLib Introduction - 05:51
Object Oriented Plotting - 05:10
Formatting a plot - 06:00

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Pandas Introduction

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